Kumar / Verma / Bhattacharyya Body Area Networks

19th EAI International Conference, BODYNETS 2024, Varanasi, India, December 15–16, 2024, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-16099-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 595 Seiten

Reihe: Springer Nature Proceedings Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Atul

Verma, Shivam

Bhattacharyya, Somak

Inhaltsverzeichnis

.- 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.