- ホーム
- > 洋書
- > ドイツ書
- > Mathematics, Sciences & Technology
- > Medicine & Pharmacy
- > general survey & lexicons
Full Description
This two-volume set LNICST 666-667 constitutes the refereed proceedings of the19th EAI International Conference on Body Area Networks, BODYNETS 2024, held in Varanasi, India, during December 15-16, 2024.
The 86 full papers included in these volumes were carefully reviewed and selected from 211 submissions. They are organized into the following topical sections:
Part I: Wearable Antennas; Healthcare & Medical Applications; AI & Machine Learning; and Signal Processing & Sensors.
Part II: Security & IoT; and Other Topics.
Contents
.- Wearable Antennas.
.- A Multi-band Wearable Textile Patch Antenna for ISM,IoT, C, X, and Ku Band Applications.
.- A Tri-band Wearable Textile Patch Antenna Designed for ISM, IoT and C Band Applications.
.- Circular Shaped 6G Wearable Patch Antennas for Wireless Body Area Network.
.- Compact Printed Dual-band Monopole Antenna for Wearable IoT Applications.
.- Compact UWB Wearable Textile Antenna for Medical Applications with Bending Analysis.
.- Multi-slot Rectangular Shaped 6G Wearable Microstrip Patch Antenna for Wireless Body Area Network.
.- Wireless Body Area Networks (WBANs).
.- AI based energy effecient data compression algorithm for WBAN.
.- AI-Powered Emotion and Stress Detection: A WBAN-Based Approach for Real-Time Health Monitoring.
.- Deep Learning Augmentation for Adversarial Robustness in Body Area Networks.
.- Design and Development of 5G Energy Harvesting System for Body Area Network.
.- Design and Development of an Auxiliary Power Supply for Body Area Network Devices.
.- Employing Knowledge graphs for prescriptive maintenance in WBANs.
.- Fusion of Edge Computing and Wireless Body Area Networks for Real-Time Data Processing.
.- Improving Fault Detection in Wireless Body Area Networks with Ensemble AI and Explainable Components.
.- Machine Learning-Driven Anomaly Detection for Enhanced Security in 6G Body Area Networks.
.- Optimizing Medical Body Area Networks: Key Advances in Performance and Reliability.
.- Optimizing Photon Sources and QEC in Quantum WBANs.
.- Healthcare & Medical Applications.
.- A Novel Non-invasive Wearable Hairpin Resonator-based Electromagnetic Bio-sensor for Early Diagnosis of Pulmonary Dense Fibrosis.
.- Genetic Risk Assessment for Chronic Kidney Disease: An Optimization Framework.
.- PI-EnLLM : Personalized Interactive Healthcare Assistance via Ensembling Large Language Models.
.- Recent Advancements in Optical Fibers Biosensors for Cancer Diagnosis.
.- Revolutionizing Healthcare 5.0 with Digital Twins.
.- Smart Walker for Rehabilitation.
.- Transforming Military Healthcare: Advanced Soldier Health Monitoring with Real-Time Analytics.
.- Wearable Acoustic and Vibration Sensing for Early Detection of Cardiovascular and Respiratory Diseases Using Machine Learning.
.- AI & Machine Learning.
.- A Low-Overhead CNN-Based Approach for Sleep Posture Recognition with Device-Free Monitoring using UWB Radar.
.- A real-time Driver safety assistance proactive accident care using deep learning and attention mechanisms.
.- AI/ML-Driven Early Detection of Chemotherapy-induced Renal Vascular Tissue Damage.
.- An Ensemble Real-Time Mask Detection Model using YOLOV4 with CNN Model.
.- An Optimized ICT Approach for Lung Cancer Utilizing Recursive Information Gain and Feature Elimination.
.- Comparative Analysis of ResNet50 vs. ResNet101 Architectures in Brain Tumor Classification.
.- Comparison of Vector Network Analyzers for On-body and In-body Measurements in Time and Frequency Domains.
.- Leveraging Deep Learning for Real-Time Object Detection in Campus Surveillance.
.- Next-Gen Microwave Sensing for Brain Monitoring:Fusion of Machine Learning and Digital Twin Technology.
.- S-transform based method for gait analysis in children suffering from cerebral palsy.
.- Signal Processing & Sensors.
.- A Metasurface-based Dual Band Stop Filter with High Angular Stability for ISM Band Applications.
.- Basic hand movement classification using Q factor based wavelet scattering transform.
.- Channel Selection Strategy for Early Prediction of Epileptic Seizure Event for Wearable EEG Sensors.
.- Design and Development of Flexible Tactile Sensor based Force Myography Device.
.- Design of a Flexible Metasurface-based Dual Bandpass Filter in ISM and IoT Bands towards Wearable Applications.
.- Development of CNT Based Smart Fabric Sensor for Monitoring Muscle Movement.
.- EEG Signal Analysis For Seizure Detection With Hierarchical Clustering.
.- Estimation of the instantaneous frequency of mono- components in non-stationary signals using wavelet transform with dynamic Q values.
.- High Frequency Response Pulse Detection and Pulse Width Measurement for the Radiation.
.- Metamaterial-Inspired Electromagnetic Sensor for Non-Invasive Glucose Detection in Biological Samples.
.- OPTIMIZATION OF CLOCK FREQUENCY PERFORMANCE FOR GNSS POSITIONING.
.- Performance Analysis of GFDM System Using DGT-Based Filter over FTR mmWave channels.
