Advances in Health Informatics, Intelligent Systems, and Networking Technologies

Part 1: Health Informatics.- Integrating Behavioral, Biometric, and Environmental Data for Health Insights.- Revolutionizing Antifungal Treatment: Machine Learning Insights into Candida Species Antimicrobial Resistance Patterns for Informed Clinical Decisions.- FutureGlycemics:A Comparative Study Of Diverse Machine Learning Models For Diabetes Prognosis.- Eating Disorder Detection and Classification using Machine Learning.- Decoding Diabetic Retinopathy: A Comprehensive Analysis through Diverse Deep Learning Algorithms.- Application of Deep Learning Techniques to Perform Multi-class Skin Disease Classification.- Eeg Based Emotion Recognition Using Genetic Algorithms Optimized Ensemble Model.- Deep Learning for classifying Mild Traumatic Brain Injury for the need of CT scans using EEG signals.- Efficient Deep Learning Models for Automated Diagnosis of Tuberculosis Using Chest X-ray.- Prediction of Chronic Disease using Deep Ensembled Machine Learning Approach.- Decoding Health Informatics Patents: Investigating Topic Models for Patent Information Retrieval.- Analysis of Foramen Magnum from Skull Images Using Image Processing Techniques.- Early Prediction of Thyroid Disease through the Integration of Machine Learning Algorithms and Particle Swarm Optimization-Based Feature Extraction: A Novel Approach for Improved Diagnosis.- Detection of Forgery in Medical Images using Deep Learning.- Improving Brain Tumor Segmentation from MR Images Through Integration of Preprocessing Techniques.- Sleep Disorders and Heart Disease: A Machine Learning Exploration.- Classification of Alzheimer’s Disease From EEG Signals using Ensemble Learning and Deep Learning approaches.- Detection of Brain Tumor from MR Images Using Region Based Convolutional Neural Network (RCNN).- Part II: Intelligent Systems.- Comprehensive Performance Analysis of PySpark and Pandas for Classification and Clustering Task.- Enhancing Women's Safety: An Implementation and Integration Framework for Real-Time Safety Systems.- A Comprehensive Study of Image Deduplication Techniques Addressing Challenges and Advancements in Storage Optimization.- Shadow Detection through YCbCr Color Space for Enhanced Scanned Document Quality.- Recommending Fashions using Computer Vision  based Artificial Intelligent approaches - A comprehensive analysis.- Smart Farming Solutions: Advanced Techniques in Clas-sification of Weeds Using Image Processing and Machine Learning.- ResFruitGrader: Leveraging Residual Networks for Advanced Fruit Quality Grading Systems.- A/B Testing for Beginners: Reusable Controlled Experiments.- NeuroNet: Early detection of Alzheimer's Disease using Deep Learning.- From Dataset Creation to Recognition Precision: A Comprehensive Study on Machine Learning Algorithms for Tulu Script.- SmartEval: Advancing Automated Evaluation of Textual Answer Scripts with Transformer Models.- Leveraging Pretrained Super-Resolution Models for Deep Steganography in YUV Color Space.- Intelligent Attention-based transformer models for Text Extraction: A proof of concept.- Part III: Networking Technologies.- The Threat Triplet: RATs, Keyloggers And Registry Keys – A Proof of Concept Analysis.- Improving the Transmission Performance to Minimizing the Latency in Mobile Adhoc Network.- Enhancing Autonomous Navigation for Visually Impaired Individuals Using Real-Time Object Detection and Voice Feedback System.- Gaussian Differential Privacy Federated Learning to Identify Ocular Diseases.- Enhancing Virus Detection Through Advanced Aggregation of Low-Level Features in Medical Imagery.- Enhancing ASV Security: An Integrated Ensemble Detector for Logical Access and DeepFake Attacks.- Detecting Forgery in War Footage for Information Accuracy.- A Hyperledger-based Chaincode for Registration and Authorization in Secure Parking Systems.- An EEG-Based Brain-Computer Interface Approach for Enhanced Interaction with Digital Devices.- A Comparative study of performance in Spectrum Utilization during spectrum sensing between CR-VANET and CR-VANET-QL.- Part IV: Bigdata and Data mining.- Streamlining Banking Operations: A Computer Vision-based Queue Management System for Improved Customer Service.- Enhancing Educational Environments: Object Recognition and Relationship Inference through YOLO in Education 5.0.- Unlocking Imagination: Story Generation from Autistic Childrens’ artwork using a fusion of Computer Vision and NLP.- Image Recognition for Medicinal Plants using Deep Neural Networks.- Text-based Emotion Recognition with Hybrid Feature Selection and Ensemble Classification: A BERT and  RoBERTa Approach.- Segmentation Techniques for Automatic Foreground and Background Area Separation in Multi-Temporal Sentinel-1A Imagery: A Comparative Study.- 64_Keyword Extraction in Learning Managemnt System (LMS) using Natural Language Processing (NLP).- WoS Bibliometric and Content Analysis on Handwritten Hindi Characters Recognition.- Exploring Sleep Quality: Influential Factors and Implications.

• Erscheinungsdatum: 26.09.2025
• Autor/Autorin: Andrew Jeyabose
• Reihe: Engineering (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 46.8 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9789819640089
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.