{"title":"Anwendungs-Software","description":"","products":[{"product_id":"unveiling-blockchain-enabled-business-applications-ebook","title":"Unveiling Blockchain Enabled Business Applications","description":"\u003cp\u003eBlockchain for Business.- Addressing Bottom of Pyramid through Blockchain Applications.- Cryptocurrency The new generation Gold Standard.- Smart Contract Applications: Revolutionizing Blockchain Technology.- Smart Contract and Architecture of Blockchain.\u003c\/p\u003e","brand":"Saravanan Krishnan","offers":[{"title":"Default Title","offer_id":53627845968199,"sku":"9789819523375","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/unveiling-blockchain-enabled-business-applications-ebook.webp?v=1775009921"},{"product_id":"technologies-of-information-and-modeling-ebook","title":"Technologies of Information and Modeling","description":"\u003cp\u003e\u003cstrong\u003e.- \u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003eMachine Learning, Computer Vision, and Data Analysis.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Evaluating the Computational Complexity of Various Machine Learning Algorithms.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Contrastive Learning on 3D Vision-Based Fall Detection.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Daily Harvest Forecast of Raspberries Crop Using Deep Learning Approach.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Revolutionizing Information Retrieval: Unveiling a NextGeneration AI-Powered Question-Answer System for Comprehensive Document Analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Advanced User Profile Similarity Prediction: Integrating Bipartite Graphs with SimRank.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Forecasting Academic Success in Secondary Education: A Comprehensive Data Mining Approach Using Machine Learning Models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Advanced Detection of Mobile Obstacles: A CNN Approach for Road Safety.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Leveraging RAG and AI Agents to Enhance Specialized LLMs in Education.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Advanced Radiomics and Deep Learning for PDL1 Biomarker Prediction in Non-Small Cell Lung Cancer.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- AI-Enhanced Detection of COVID-19 and Lung Diseases via Chest X-Rays: Enhancing Diagnostic Accuracy with CNNs and Top-K Algorithms.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Customer Loyalty Dynamics and Optimization of Promotional Strategies: An Analysis Based on Segmentation and Purchasing Behavior.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- AI and Deep Learning in the Diagnosis and Treatment of Prostate Cancer: State of the art and Applications.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Innovative Approach to Enhancing Database Querying with AI.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Comparative Analysis of Similarity Metrics for Visual Recommendation in E-commerce: AI Approaches and Performance.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Machine Learning for Web Traffic Classification.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- AI-Driven Generative Automatic Matching for Heterogeneous Systems: A Multi-Agent System Implementation on the .NET Platform.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Predicting Employees with Leadership Potential Using Machine Learning Techniques.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Early Prediction of Student Dropout in MOOCs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Adaptive M-Learning Resources Using Learner Context and Processing Preferences.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Natural language processing(NLP), Smart Systems, and Emerging Technologies.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Investigating Factors Influencing Chatbot Adoption for Enhancing Government Services: An empirical study.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Exploring the Impact of Empathy on User Satisfaction in Banking Chatbots: A Path to Enhanced Customer Experience.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Using Sentiment Analysis Extracted Features to Predict Stock Price.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Revolutionizing Morocco’s Environmental Future: IoTDriven Air and Water Quality Monitoring for Smart Cities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Utilizing Transformer Models for Smartphone-Based Skin Cancer Detection.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Evaluating the Quality of Scientific Articles: A Review of Citation and Content-Based Metrics.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Evaluation of Cost Estimation Methods for Software Development Projects: A Comparative Study.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Comparative Analysis of Blood Vessel Segmentation Techniques in Breast MRI.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Improvement of Information Retrieval Systems on Digital Educational Platforms.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Towards an Intelligent Automated Evaluation System for Python Powered by Large Language Models.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Revolutionizing Agriculture with LoRa: Intelligent Crop Monitoring and Autonomic Irrigation.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Improving Dialectal Sentiment Analysis: A Contextual Approach Using Multilingual Embeddings for Darija and Other Arabic Dialects Transcoding.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- The Future of Travel: A Review of Chatbot Recommender Systems in E-Tourism and Smart Tourism.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Intelligent Automated Resume Analysis and Ranking System for Profile Recruitment Based on Computer Vision and LLMs.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Sentiment Classification of COVID-19 Tweets: A Hybrid Hadoop Approach Using Deep Learning and Fuzzy Logic Theory.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Sustainable Logistics in Healthcare: Addressing Environmental Challenges and Optimizing Medical Supply Chains for a Greener Future.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Sentiment Analysis of Patients in Healthcare: The Case of COVID-19 Vaccination.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Enhancing Tourism Experiences in Morocco: LLM-A Comparative Study of Fine-Tuning and Retrieval Augmented Generation with Llama-3.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Leveraging LLM Techniques for Moroccan Agriculture: Performance Analysis of RAG and FineTuning Approaches with Llama 3.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- \u003c\/span\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003eCybersecurity, Cryptography, and AI for Security.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Website Ethical Hacking nd Penetration Testing.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- Multi-Classification Approach for Malicious Social Bots Detection Based on Transformers.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-font-family: 'Times New Roman'; color: black; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-GB; mso-fareast-language: FR-MA; mso-bidi-language: AR-SA;\"\u003e.- A decentralized identity management and student data verification system using Blockchain and IPFS.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan lang=\"EN-GB\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Aptos Narrow',sans-serif; 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Perception Models and Theory.- 3 Human Perception Research.- 4 Offline Simplex Perceptual Model.- 5 Offline Multi-Metric Joint Perceptual Model.- 6 Online Generalization of Offline Models.- Part III: Case Studies.- 7 Case Study on Audio Conferencing Systems.- 8 Case Study on Multi-Player Online Interactive Games.-9 Conclusions.\u003c\/p\u003e","brand":"Benjamin W. 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They were organized in topical sections as follows: Routing; Topology; Applications and Congestion; DNS; Wireless and Mobile; Security and Privacy; and Virtualization.","brand":"Simone Ferlin-Reiter","offers":[{"title":"Default Title","offer_id":53628079046983,"sku":"9783032182685","price":96.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/passive-and-active-measurement-ebook.webp?v=1775015222"},{"product_id":"intelligent-technology-for-future-transportation-ebook","title":"Intelligent Technology for Future Transportation","description":"\u003cdiv\u003e.- Intelligent Transportation Systems and Data-Driven Modeling \u0026amp; Optimization.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Construction of Smart Highway Knowledge Graph Based on BERT-BGRU Enhanced Model.\u003c\/div\u003e\n\u003cdiv\u003e.- Multi-Objective Route Planning for Shared Micro Circulation Transit in Future Urban Mobility: A Community-Oriented Approach.\u003c\/div\u003e\n\u003cdiv\u003e.- A Graph Attention Model for the Team Orienteering Problem.\u003c\/div\u003e\n\u003cdiv\u003e.- Forecasting Transport Demand Using Expert-Fuzzy Methods of Data Analysis.\u003c\/div\u003e\n\u003cdiv\u003e.- Research on Medical Logistics Vehicle Routing Problem Based on IGBCA Algorithm.\u003c\/div\u003e\n\u003cdiv\u003e.- Research on the Location Selection of Dairy Products Distribution Center Based on IACO.\u003c\/div\u003e\n\u003cdiv\u003e.- Dispatch of Food Logistics Vehicles Considering Customer Satisfaction Based on IGA   Algorithm.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Intelligent Vehicles, Autonomous Control, and Perception Technologies.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Research on Dynamic Allocation of Driving Control Authority Based on Driver Trust and Safety Threshold.\u003c\/div\u003e\n\u003cdiv\u003e.- The Role of Affordances in Autonomous Vehicle Technology Use Cases: A Comparative Analysis of the United States and France.\u003c\/div\u003e\n\u003cdiv\u003e.- A Fast Sampled-Data Nonlinear Predictive Controller for Lateral Trajectory Tracking.\u003c\/div\u003e\n\u003cdiv\u003e.- KMeans–SMT: Physics-Constrained Clustering with Symbolic Reasoning for Intelligent Vehicle Diagnostics.\u003c\/div\u003e\n\u003cdiv\u003e.- Research on Inner and Outer Ring Interconnected Metal Foreign Object Detection Coil for Wireless Power Transfer.\u003c\/div\u003e\n\u003cdiv\u003e.- Phase Change and Doppler Rate Fusion for Moving Target Tracking.\u003c\/div\u003e\n\u003cdiv\u003e.- Optimization of Electronically Controlled Injectors' Parameters in Diesel Engines using CFD.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Smart Transportation Infrastructure, Safety, and Resilience.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Analysis of Seasonality in the Relationship between Rainfall and Urban Railway Train Delays.\u003c\/div\u003e\n\u003cdiv\u003e.- Predictive Maintenance Framework for Intelligent Transportation Infrastructure Using IOT and Machine Learning: Remote Area Roads in Indonesia.\u003c\/div\u003e\n\u003cdiv\u003e.- Numerical simulation study on the influence of grid ceiling on smoke diffusion in subway platform fire.\u003c\/div\u003e\n\u003cdiv\u003e.- Application of Three-Dimensional Seismic Isolation (Vibration Isolation) Technology for Schools Near a Subway in Chengdu.\u003c\/div\u003e\n\u003cdiv\u003e.- Preliminary Study on the Mechanism of Influence of Smart On-Street Parking Upgrading on Vehicle Owners' Parking Behavior: Taking Pudong New Area of Shanghai as an Example.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Transportation Electrification, Energy Systems, and Grid Integration.\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e.- Optimization and Application of Urban Rail Transit Energy Storage Systems Utilizing Rolling Dynamic Programming.\u003c\/div\u003e\n\u003cdiv\u003e.- Capacity Optimization of Supercapacitor Energy Storage in Urban Rail Transit: A Cheetah Algorithm-based Approach.\u003c\/div\u003e\n\u003cdiv\u003e.- A Coordinated Optimization Strategy for Electric Vehicle Charging Guidance Under Urban Road Network Constraints.\u003c\/div\u003e\n\u003cdiv\u003e.- Comprehensive Operational Analysis of a Typical PV–Storage–Charging–Swapping Integrated Station.\u003c\/div\u003e\n\u003cdiv\u003e.- Construction of Charging Load Profiles and Analysis of Complementary Characteristics for Regions with Complex Traffic and Weak Power Grids.\u003c\/div\u003e\n\u003cdiv\u003e.- From Time Series to Feature Matrix: A Novel PSO-SVM Framework for Self-Discharge Diagnosis of Lithium-ion Batteries.\u003c\/div\u003e\n\u003cdiv\u003e.- Lightweight Multiclass Intrusion Detection on Electric Vehicle Infrastructure.\u003c\/div\u003e","brand":"Abolhassan Razminia","offers":[{"title":"Default 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In today’s digital age, understanding facial beauty is no longer just an art but a sophisticated science, the analysis and enhancement of facial beauty leverage advanced technologies such as machine learning, computer vision, and biometrics. This book, “Facial Beauty Analysis: Computational Aesthetics,” is based on our research and aims to offer an in-depth exploration of the latest advancements on both 2D and 3D facial beauty analysis.\u003c\/p\u003e\n\u003cp\u003eBy combining principles from computer vision, pattern recognition, machine learning, and deep learning, this book provides comprehensive insights into landmark detection, feature extraction, beauty prediction, and facial attractiveness enhancement. It introduces cutting-edge innovations such as geometric prior guided hybrid deep neural networks, GAN-based facial beautification, and 3D facial beauty analysis, ensuring readers are equipped with the latest advancements. The content is thoughtfully crafted to empower readers with both foundational concepts and the latest tools required to stay ahead in this rapidly evolving domain.\u003c\/p\u003e\n\u003cp\u003eTargeted toward researchers, professionals, and graduate students, “Facial Beauty Analysis: Computational Aesthetics,” aims to systematically cover both 2D and 3D facial beauty analysis, providing comprehensive insights into feature extraction, beauty prediction, and facial enhancement. This book offers both foundational knowledge and cutting-edge methodologies to advance the field of facial beauty analysis. Whether you’re exploring the fundamentals or seeking to apply the latest technologies, this book is a valuable asset for anyone dedicated to advancing the field of facial beauty analysis.\u003c\/p\u003e","brand":"David Zhang","offers":[{"title":"Default Title","offer_id":53628168372551,"sku":"9789819561445","price":192.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/facial-beauty-analysis-ebook.webp?v=1775019721"},{"product_id":"dynamics-of-information-systems-ebook","title":"Dynamics of Information Systems","description":"\u003cp\u003eThis post conference LNCS volume constitutes the proceedings of the 8th International Conference on Dynamics of Information Systems, DIS 2025, in London, UK, took place in June 2025.\u003c\/p\u003e\n\u003cp\u003eThe 26 full papers presented in this volume were carefully reviewed and selected from 55 submissions. \u003c\/p\u003e\n\u003cp\u003eThey are grouped into the following topics: Information Systems \u0026amp; Networks; Optimization \u0026amp; Operations Research; Artificial Intelligence \u0026amp; Machine Learning; Applications in Healthcare, Security \u0026amp; Society.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Hossein Moosaei","offers":[{"title":"Default Title","offer_id":53628175122759,"sku":"9783032164698","price":78.1,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/dynamics-of-information-systems-ebook.webp?v=1775020492"},{"product_id":"digital-trace-data-research-in-information-systems-ebook","title":"Digital Trace Data Research in Information Systems","description":"\u003cp\u003eThis book provides a comprehensive overview of digital trace data research in information systems and reflects on its idiosyncrasies throughout all phases of a research project. It delivers important advice on how to construct, manage, and execute research with digital trace data, it clarifies the complex relationship of digital trace data to the reality it purportedly represents, it helps devising research programs that systematically explore key phenomena, and it assists in how to leverage insights from digital trace data for theory building.\u003c\/p\u003e\n\u003cp\u003eTo this end, the book is organized into three interrelated parts. The first part focuses on the \u003cem\u003efoundations of digital trace data research\u003c\/em\u003e. It offers guidance on how to design and manage research projects that employ digital trace data and how it can be employed for theory development. The second part focuses on \u003cem\u003emethods for digital trace data research\u003c\/em\u003e and covers computational research methods and analysis techniques that support sense-making of digital trace data. 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Multimodal Generative AI for People with Disabilities.- Chapter 13.                Single-Modality to Multimodality: The Evolutionary Trajectory of Artificial Intelligence in Integrating Diverse Data Streams for Enhanced Cognitive Capabilities.- Chapter 14. Interfacing Multimodal AI with IoT: Unlocking New Frontiers.-Chapter 15. Enhancing Safety and Reliability in VANETs for Autonomous Vehicles by M-XAI (Multi Model- Explainable-AI) .- Chapter 16. Future Directions In Multimodal Genrative AI.\u003c\/p\u003e","brand":"Akansha Singh","offers":[{"title":"Default Title","offer_id":53652327235911,"sku":"9789819623556","price":234.33,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/multimodal-generative-ai-ebook-cover.webp?v=1775353404"},{"product_id":"medical-image-computing-and-computer-assisted-intervention-miccai-2025-ebook","title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2025","description":"\u003cp\u003eThe 16-volume set LNCS 15960 - 15975 constitutes the refereed proceedings of the 28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, which took place in Daejeon, South Korea, during September 23–27, 2025.\u003c\/p\u003e\n\u003cp\u003eThe total of 1027 papers included in the proceedings was carefully reviewed and selected from 3447 submissions. 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The contributions of the book include: uncertainty quantification for phenomena at different scales such as epidemic dynamics, medical imaging, and geophysical exploration; structural health monitoring integrating small-scale sensor data in large-scale computational models; frontier numerical methods for the simulation of geophysical and heliophysical dynamics accounting for multi-scale, heterogeneous media; multi-physics, multi-scale models for the mechanobiology of atheroma plaques formation; locomotion models for swimming at the micro-scale; mathematical foundations of quantum mechanics phenomena at the micro-scale. 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Chapter 10: Automatic Optimization of Prompting Architectures.- Chapter 11: Open-Vocabulary Calibration for VL Models.- Part 3: Applications.- Chapter 12: Open-Vocabulary DETR with Conditional Matching.- Chapter 13: Extracting Dense Labels from CLIP.- Chapter 14: PointCLIP: Understanding Point Clouds with VL.- Chapter 15: Diffusion-Based Relation Inversion from Images.- Chapter 16: Text-to-Video Generation.- Chapter 17: Text-Driven Human Motion Generation.- Chapter 18: Zero-Shot Text-Driven 3D Avatar Generation.- Chapter 19: Zero-Shot Text-Driven HDR Panorama Generation.\u003c\/p\u003e","brand":"Kaiyang Zhou","offers":[{"title":"Default Title","offer_id":53652377108807,"sku":"9783031949692","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/large-vision-language-models-ebook-cover.webp?v=1775359164"},{"product_id":"intelligent-and-efficient-video-moment-localization-meng-liu-ebook","title":"Intelligent and 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With the rapid growth of digital content and the rise of video-sharing platforms, users face significant challenges when searching for particular content across vast video archives. This book addresses how video moment localization uses natural language queries to bridge the gap between video content and semantic understanding, offering an intuitive solution for locating specific moments across diverse domains like surveillance, education, and entertainment.\u003c\/p\u003e\n\u003cp\u003e This book explores the latest advancements in video moment localization, addressing key issues such as accuracy, efficiency, and scalability. It presents innovative techniques for contextual understanding and cross-modal semantic alignment, including attention mechanisms and dynamic query decomposition. Additionally, the book discusses solutions for enhancing computational efficiency and scalability, such as semantic pruning and efficient hashing, while introducing frameworks for better integration between visual and textual data. It also examines weakly-supervised learning approaches to reduce annotation costs without sacrificing performance. Finally, the book covers real-world applications and offers insights into future research directions.\u003c\/p\u003e","brand":"Meng Liu","offers":[{"title":"Default Title","offer_id":53652408172871,"sku":"9783031875885","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/intelligent-and-efficient-video-moment-localizatio-ebook-cover.webp?v=1775362340"},{"product_id":"information-systems-research-in-vietnam-volume-3-ebook","title":"Information Systems Research in Vietnam, Volume 3","description":"\u003cp\u003eIntroduction.- Digital transformation and digitization of products.- Digital transformation and digitalization of work processes.- Current progress of the 2030 National digital transformation programme of the Vietnamese government.- Digital Transformation and Sustainable Development areas in Vietnam.- Directions for future research.- Conclusion.\u003c\/p\u003e","brand":"Nguyen Hoang 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Conclusions.\u003c\/p\u003e","brand":"Milos Svana","offers":[{"title":"Default Title","offer_id":53652495958343,"sku":"9783032001290","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/from-text-to-understanding-ebook-cover.webp?v=1775371091"},{"product_id":"finance-and-large-language-models-ebook","title":"Finance and Large Language Models","description":"\u003cp\u003eLarge Language Models in Finance: An Overview.- Housing price estimation and reasoning based on a large language model.- Advancing Quantitative Trading Strategies Using Fine-Tuned Open-Source Large Language Models: A Hybrid Approach with Numerical and Textual Data Integration Using RAG and LoRA Techniques.- Foundations of LLMs and Financial Applications.- Voluntary Sustainability Disclosure and Third Party Assurance: A Large Language Model Perspective.- Verbal Femininity and CEOs Compensation.- Integrating LLM-Based Time Series and Regime 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Design Education.\u003c\/p\u003e\n\u003cp\u003e.- Enhancing Manufacturing Engineering higher education through Mixed Reality and Gaussian Splatting: Preliminary experimental results.\u003c\/p\u003e\n\u003cp\u003e.- A Conversational Agent for Cultural and Environmental Education: Enhancing User Experience and Immersion in Augmented Reality.\u003c\/p\u003e\n\u003cp\u003e.- Development and Evaluation of a Mobile Augmented Reality Application for Environmental Education.\u003c\/p\u003e\n\u003cp\u003e.- Bridging Technology and Learning: a case study on the role of Augmented Reality in teaching daily life skills to individuals with autism.\u003c\/p\u003e\n\u003cp\u003e.- The development of a no-code VR authoring platform for post-secondary educators.\u003c\/p\u003e\n\u003cp\u003e.- Virtual Reality Chemistry Laboratories: Transforming Chemistry Education through Immersive Experimental Learning.\u003c\/p\u003e\n\u003cp\u003e.- Dilemma and conflict management in Virtual Reality for teacher 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Era","description":"\u003cp\u003eIntroduction.- \u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Mincho'; mso-ansi-language: EN-GB; mso-fareast-language: JA; mso-bidi-language: TE; mso-no-proof: yes;\"\u003eDirection of Digital IT and Enterprise Architecture.- Strategic Architecture Framework aligned with IT strategy promoting Cloud\/Mobile IT\/AI\/Digital IT.- Evaluation for EA framework implementation method.- Evaluation of Architecture Board Review process with Knowledge Management.- \u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Mincho'; mso-bidi-font-family: Gautami; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-GB; mso-fareast-language: JA; mso-bidi-language: TE; mso-no-proof: yes;\"\u003eEvaluation for Risk Management approach for Digital Transformation.- \u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Mincho'; mso-bidi-font-family: Gautami; mso-bidi-theme-font: minor-bidi; color: #4472c4; mso-themecolor: accent1; mso-ansi-language: EN-GB; mso-fareast-language: JA; mso-bidi-language: TE; mso-no-proof: yes;\"\u003eEvaluation of AIDAF for Design Thinking Approach Covering AI Digital Platforms.- \u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Mincho'; mso-bidi-font-family: Gautami; mso-bidi-theme-font: minor-bidi; color: #4472c4; mso-themecolor: accent1; mso-ansi-language: EN-GB; mso-fareast-language: EN-GB; mso-bidi-language: TE; mso-no-proof: yes;\"\u003eEvaluation of EA Process for Digital Transformation.- \u003cspan lang=\"EN-GB\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Mincho'; mso-bidi-font-family: Gautami; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-GB; mso-fareast-language: EN-GB; mso-bidi-language: TE; mso-no-proof: yes;\"\u003eOverall evaluation and Perspectives.- Conclusion.- Future Direction – Digital Strategic Architecture and Open Healthcare Platform 2030 with IoT Healthcare platform.\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Yoshimasa Masuda","offers":[{"title":"Default Title","offer_id":53652554154311,"sku":"9789819667246","price":85.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/enterprise-architecture-for-global-companies-in-a--ebook-cover.webp?v=1775374662"},{"product_id":"enterprise-ai-ebook","title":"Enterprise AI","description":"\u003cp\u003eThis book provides perspectives and deliberations on the barriers and opportunities for Enterprise AI, as well as a range of state-of-the-art approaches that can facilitate AI adoption more widely. It aims to provide a comprehensive and authoritative resource on Enterprise AI so that students, researchers and practitioners have the benefit of accessing the full scope of the problems and approaches in one place, relating to the critical aspects of Enterprise AI projects.\u003c\/p\u003e\n\u003cp\u003e The contributions by experts in multiple socio-technical disciplines have been accordingly structured in three parts: First, \u003cem\u003eScalable and Sustainable Practices for Enterprise AI\u003c\/em\u003e explores emerging strategies that enable organizations to scale AI systems sustainably by maximizing performance while minimizing resource consumption. It offers a deep dive into three complementary approaches that address this challenge from different angles: data distillation, federated learning, and resource-efficient deployment. Next, \u003cem\u003eSafe and Responsible Enterprise AI\u003c\/em\u003e addresses the critical aspects of AI safety in the enterprise context. The four chapters provide a comprehensive set of resources for individuals and enterprises seeking to implement AI systems that are not only powerful but also principled. By addressing data quality, privacy, explainability, and human-AI collaboration, this part lays the groundwork for building AI systems that are safe, transparent, and aligned with human and organizational values. Eventually, \u003cem\u003eValue Creation with Enterprise AI\u003c\/em\u003e offers four chapters providing a multidimensional view of value creation with AI, that balances innovation with responsibility, and efficiency with trust. They provide a roadmap for enterprises seeking to harness AI not just as a tool for automation, but as a catalyst for meaningful, sustainable transformation.\u003c\/p\u003e","brand":"Shazia Sadiq","offers":[{"title":"Default Title","offer_id":53652554187079,"sku":"9783032019400","price":192.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/enterprise-ai-ebook-cover.webp?v=1775374671"},{"product_id":"enhancing-video-streaming-with-ai-cloud-and-edge-technologies-mahmoud-darwich-ebook","title":"Enhancing Video Streaming with AI, Cloud, and Edge Technologies","description":"\u003cp\u003eThis book explores how artificial intelligence, cloud computing, and edge technologies are transforming video streaming systems. It delves into AI-driven adaptive bitrate streaming, predictive resource allocation, and federated learning for personalized recommendations. The integration of cloud and edge computing is highlighted as a solution for scalability and low-latency streaming, addressing challenges like bandwidth optimization, cost-efficiency, and Quality of Experience (QoE).\u003c\/p\u003e\n\n\u003cp\u003eThe book offers actionable insights into emerging technologies like 5G, quantum computing, and blockchain. It features case studies and real-world implementations, making it an essential resource for researchers, industry professionals, and students. Bridging theory and practice, the book provides a comprehensive guide to building the next generation of efficient and scalable video streaming infrastructures.\u003c\/p\u003e","brand":"Mahmoud Darwich","offers":[{"title":"Default Title","offer_id":53652554678599,"sku":"9783031846519","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/enhancing-video-streaming-with-ai-cloud-and-edge-t-ebook-cover.webp?v=1775374757"},{"product_id":"engineering-information-systems-with-large-language-models-ebook","title":"Engineering Information Systems with Large Language Models","description":"\u003cp\u003eThe rapid advancement of generative AI and specifically large language models (LLMs) is transforming the landscape of information systems (IS) engineering by offering unprecedented opportunities to support their design, development, maintenance, and reengineering.\u003c\/p\u003e\n\u003cp\u003eStarting with an overview of LLM history and foundational concepts, the book delves into practical applications for IS design and development, including prompt engineering, retrieval augmented generation, and multi-agent systems. Through a detailed survey and step-by-step programming guidance, readers will learn how to implement tools leveraging LLMs effectively. The book also addresses ethical considerations, offering insights and guidelines for responsible AI integration.\u003c\/p\u003e\n\u003cp\u003eThe book provides a comprehensive and unified framework for exploiting LLMs in IS engineering. It aims at both researchers in information systems or LLM development and advanced professionals who would like to know how to potentially apply LLMs in the development or maintenance of information systems.\u003c\/p\u003e","brand":"Francesca De Luzi","offers":[{"title":"Default Title","offer_id":53652555792711,"sku":"9783031922855","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/engineering-information-systems-with-large-languag-ebook-cover.webp?v=1775374857"},{"product_id":"dynamic-models-of-energy-robotic-and-biological-systems-jose-de-jesus-rubio-ebook","title":"Dynamic Models of Energy, Robotic, and Biological Systems","description":"\u003cp\u003e. Dynamic model of a wind turbine for the electric energy generation.- 2. An electricity generator based on the interaction of static and dynamic magnets.- 3. Dynamic model of an electric vehicle with energy recovery.- 4. Modeling and control of a fuel cell.- 5. Dynamic model with sensor and actuator for a transelevator.- 6. Dynamic model with sensor and actuator for an articulated robotic arm.- 7. Inverse dynamics model of a delta-type parallel robot.- 8. Acquisition system and approximation of brain signals.- 9. A method for online pattern recognition of abnormal eye movements.- 10. A method with neural networks for the classi.cation of fruits and vegeta-bles.\u003c\/p\u003e","brand":"Jose de Jesus Rubio","offers":[{"title":"Default Title","offer_id":53652627128647,"sku":"9783031854385","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/dynamic-models-of-energy-robotic-and-biological-sy-ebook-cover.webp?v=1775377244"},{"product_id":"digital-twins-for-simulation-based-decision-making-ebook","title":"Digital Twins for Simulation-Based Decision-Making","description":"\u003cp\u003eThis book introduces the concept of digital twins and their purposive usage, including the technology infrastructure and the method support necessary for their construction. 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