Produktbild: Body Area Networks
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Body Area Networks 19th EAI International Conference, BODYNETS 2024, Varanasi, India, December 15–16, 2024, Proceedings, Part I

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.04.2026

Abbildungen

XV, 314 illus., 275 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Atul Kumar + weitere

Verlag

Springer

Seitenzahl

595

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

914 g

Sprache

Englisch

ISBN

978-3-032-16098-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.04.2026

Abbildungen

XV, 314 illus., 275 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

595

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

914 g

Sprache

Englisch

ISBN

978-3-032-16098-0

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Body Area Networks
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    .- A Tri-band Wearable Textile Patch Antenna Designed for ISM, IoT and C Band Applications.

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    .- Compact Printed Dual-band Monopole Antenna for Wearable IoT Applications.

    .- Compact UWB Wearable Textile Antenna for Medical Applications with Bending Analysis.

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    .- Deep Learning Augmentation for Adversarial Robustness in Body Area Networks.

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    .- 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.

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    .- 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.

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    .- 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.

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