{"product_id":"advanced-computing-and-intelligent-technologies-ebook","title":"Advanced Computing and Intelligent Technologies","description":"\u003cp class=\"MsoNormal\"\u003eChapter 1:Lung Cancer Stage Estimation Using EfficientNetV2B2: Formulating Gene Expression Data for Comparable ML Outcomes.- Chapter 2:Terra-Rover: IoT-Driven Autonomous Multi-Terrain Disaster Management System.- Chapter 3:Enhancing Heart Disease Diagnosis with Wearable IoT Devices and Machine Learning Models.- Chapter 4:Cardiovascular Disease Prediction using ECG Match.- Chapter 5:Deep Learning-Powered Diagnostic Model for Early Detection and Prognosis of Bone Diseases Using Radiographic Imaging.- Chapter 6:An advanced vision transformer technique for skin cancer identification.- Chapter 7:Applying Machine Learning and swarm optimisation Techniques for Real-Time Decision Making in Supply Chain Management.- Chapter 8:ResCrabNet: A Deep Transfer Learning Approach for Improved Crab Species Classification with Explainable AI.- Chapter 9:Machine Learning Approach for Classifying Shoulder Pain Pathologies Using Ultrasound Imaging.- Chapter 10:Attention-Augmented MobileNetV2 for MRI-Based Brain Tumor Classification: Cosine Annealing, and Advanced Metrics.- Chapter 11:BRAIN COMPUTER INTERFACE APPLICATION FOR SPEECH DECODING APPROACH USING EEG SIGNALS.- Chapter 12:Characterizing Shear Wave Propagatıon in an Anisotropic Layer under the Effect of Triangular Irregularity, Rigidity and Initial Stress.- Chapter 13:Assessing the Overall Quality of Red Wine Utilizing Classification Algorithms.- Chapter 14:Predicting Solar Energy Potential and Household Consumption Using Machine Learning and IoT.- Chapter 15:Novel Skin Cancer Detection Application Using Deep Learning Application.- Chapter 16:Modified Hippopotamus Optimization Algorithm for Numerical Optimization Problems.- Chapter 17:Emotion Recognition Using Deep Learning on EEG Data for Stress and Anxiety Detection.- Chapter 18:Evasion Attacks on Image Classification Models: A Comprehensive Review of Strategies and Defense Mechanisms.- Chapter 19:Design \u0026amp;Analysis of EBG Antenna with it’s Applications.- Chapter 20:Advancing Brain Tumor Detection with Deep Learning and Machine Learning: A performance Analysis of Different Deep Learning Models.- Chapter 21:Deep Learning Approaches for Optimizing Renewable Energy Generation and Consumption Forecasting in Smart Grids.- Chapter 22:A comprehensive deep learning approach for precise concrete crack detection and severity classification using ensemble learning.- Chapter 23erformance Evaluation of Edge and Cloud Technologies for Sentiment Analysis with IMDB Data.- Chapter 24:Predictive Analysis in Cardiovascular Health: Evaluating Machine Learning Algorithm for Enhanced Diagnostics Precision.- Chapter 25:Human activity recognition using machine learning.- Chapter 26:Earthquake Prediction and Alerting System Using Machine Learning and Raspberry Pi.- Chapter 27:Detection of Potholes using Deep Learning and Image Processing Techniques.- Chapter 28:Deep Learning-Based Solar Tracking System for Maximizing Solar Power Generation Efficiency.- Chapter 29:An Efficient and Cost Effective Approach for Smart Pharmaceutical Cold Chain Logistics using Internet of Things.- Chapter 30:DenseCucumberNet: An Enhanced Model for Interpretable Detection of Cucumber Diseases.- Chapter 31:Efficient Array Patch Antenna Design and Optimization for 5G Applications.- Chapter 32:Securing Media Integrity: A Blockchain-Based Approach against AI-Generated Deepfakes.- Chapter 33:Tumor Sight AI: Brain Tumor prediction system using Deep Learning and Explainable Artificial Intelligence (XAI).- Chapter 34:Deep Learning Driven Diabetic Retinopathy Detection Using CNN Application.- Chapter 35:Synergizing Generative Adversarial Network-Driven Synthetic Data Pipelines with Deep Neural Networks for Enhanced Breast Cancer Diagnosis.- Chapter 36:ResNet50 Outperforms VGG16 and VGG19 in Tomato Leaf Disease Classification.- Chapter 37:A Robust Framework for Internet of Things Harmonization in Critical Infrastructure.- Chapter 38:Vehicular Assistance Communication System for Road Blockage Using Multi-Hop V2X Architecture in Hilly Terrain.- Chapter 39:Occluded Face Image Inpainting using Generative Adversarial Networks.- Chapter 40:Vehicle Identification System Using Convolutional Neural Networks.- Chapter 41:A Review on Detection of Distributed Denial of Service Attacks Using Machine Learning Techniques.- Chapter 42:Analysis of EEG Signal for AAD Classification Using Deep Learning Approach.- Chapter 43:Federated Learning in Healthcare: Benchmarking In-sights for Diabetes Treatment.- Chapter 44:Deep Learning for Dermoscopic Diagnosis: High-Accuracy CNN in Skin Cancer Classification.- Chapter 45:Securing the Vote: Exploring the Potential of Blockchain-Based e-Voting System.- Chapter 46:Hybrid AI approach for melanoma diagnosis detection with image segmentation using mobile net and deep CNN algorithms.- Chapter 47:Machine Learning-Driven Design Enhancement of Microstrip Patch Antennas for Wireless Communication.- Chapter 48:Predictive Models of Compressive Strength of Concrete Containing Construction and Demolition Waste Using Artificial Neural Networks.- Chapter 49:Hybrid Bat Algorithm for Clustering.- Chapter 50:Designing IOT based Real Time Visual Paddy Leaf Pest Detection and Feature Extraction Algorithm.- Chapter 51:Optimizing Convolutional Neural Network for Accurate Digit Recognition.- Chapter 52:Enhancing Sentiment Analysis in Natural Language Processing: A Hybrid Approach of Machine Learning and Deep Learning Model for Emotion Classification.- Chapter 53:Satellite-Based Environmental Monitoring for Sustainable Well-being.- Chapter 54:ANALYSIS AND CHARACTERIZATION OF MULTI-EYE DISEASES USING DEEP LEARNING ALGORITHMS.- Chapter 55:Design and Development of Diverse Patch Antennas for 5G Wireless Networks Utilizing Various Materials.- Chapter 56:Optimized Deep Learning Approach for Accurate Poultry Disease Detection.- Chapter 57:Optimizing Stock Market Investment Decisions: A Comparative Analysis of Machine Learning and Deep Learning Algorithms.- Chapter 58:A Comprehensive study on Energy consumption analysis using Monte-Carlo simulation and Machine Learning.- Chapter 59:COMPUTATIONAL COGNITIVE ACTIVATION FUNCTION USING fMRI APPLICATION.- Chapter 60:Behavior Analysis In crowds.- Chapter 61:Integrating Data Science Methodologies in Crop Prediction to Reinforce Sustainable Agriculture.- Chapter 62:Detection and Mitigation of Wireless Network Attacks Using Artificial Intelligence.\u003c\/p\u003e","brand":"Sanjoy Das","offers":[{"title":"Default Title","offer_id":53653513371975,"sku":"9789819649334","price":266.43,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/advanced-computing-and-intelligent-technologies-ebook-cover.webp?v=1775398389","url":"https:\/\/www.cinebuch.de\/products\/advanced-computing-and-intelligent-technologies-ebook","provider":"CineBuch","version":"1.0","type":"link"}