Advances in Communication, Machine Learning, and Embedded Signal Processing, Volume 3

Proceedings of the 4th International Conference, PCEMS 2025
Erscheinungsjahr 2027
ISBN: 978-981-9289-70-7
Verlag: Springer Singapore

Buch, Englisch, Band 1741, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

This book constitutes the proceedings of the Fourth International Conference on Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing (PCEMS 2025), held in Nagpur, India, on November 06–07, 2025. The 32 papers presented in this book were carefully reviewed and selected from 296 submissions. These papers present recent research in the areas of communication as well as embedded signal processing such as 5G, 6G, antennas, quantum communication, and related fields. This book serves as a useful reference for researchers, engineers, academicians, and industry professionals working in these multidisciplinary areas.

Zielgruppe

Research

Autoren/Hrsg.

Kothari, Ashwin

Kumar, Sudhir

Inhaltsverzeichnis

Containerized Adaptive Front Lighting System Using NVIDIA Jetson Orin Nano.- Hybrid Quantum-Classical Network Simulation Using QuNetSim and NS-3.- Detection of Label Free Biomolecules with Extended   Trench Cavity Charge Plasma TFET.- An LSTM-Based Model for Robust Data Integrity Verification in Edge Environment.- Autonomous UAV Relay Placement: A Deep Reinforcement Learning Based Approach.- A Novel Approach For 3D Direction Of Arrival (DOA) Estimation Using The Music Algorithm And Space Time Modulated Metasurface.- Optimized clinical event extraction: ACustom Feedfor-ward Neural Network Approach with integrated medicalknowledge features.- Explainable AI Using ECG Signals for Early Cardiovascular Disease Detection: A Transparent Analysis Approach Based on CNN and Grad-CAM.- Spatio-Temporal ENF Feature Fusion with CNN–Transformer for Robust Audio Tampering Detection.- Data-Driven Estimation of Brake Thermal Efficiency in Internal Combustion Engines Using Machine Learning.- Verilog Design and Vivado Simulation of CRC-8 Enhanced UART and Quadrature–Encoder RPM Modules.- Cross-Border Renewable Energy Tracking using zk-SNARKs.- Design and Analysis of a Wideband MIMO Antenna with Integrated Notch Characteristics.- Design and Development of a Quadcopter Drone Using Pixhawk Flight Controller and Radio Transmitter for Stable Manual Flight.- Edge-Optimized IoT-Based Biometric-Integrated RFID Tracking System with AI-Powered Anomaly Detection for Supply Chain Management.- LoRaWAN-Based Soil Health Monitoring System for Medicinal Plant.- Proposing A Machine Learning And Genetic Algorithm Driven Framework To Predict Lithium-Ion Battery Pack Coolant Parameters For Enhanced Thermal Management.- Deep Learning-Based Hybrid Beamforming for mmWave Massive MIMO: Design, Simulation, and Performance Evaluation.- Deep Neural Network based Semantic Communications.- EEG based mental fatigue classification using alpha band analysis.- Car Arrival Prediction for Efficient Parking Slot Allocation in Urban Areas using Deep Learning Techniques.- GeoTrack: A Low-Cost IoT-Based Real-Time GPS Tracking System for Multi-Domain UAV Applications with Integrated Video Streaming.- A CNN-LSTM Fusion for Predicting Earthquake Magnitudes.- Clinician-Centered Explainable Multimodal Model for Heart-Disease Risk and ECG Abnormality Detection.- Real-Time Mental Fatigue Detection using  Webcam and Voice Input.- Hybrid Gradient Boosting–Deep Learning Framework for Bearing Fault Classification Using Statistical–Wavelet Vibration Features.- Multispecies Crop Disease Detection Using Deep Learning Techniques to Improve Crop Yields for Sustainable Agriculture.- Smart Assistive Glove for Bridging The Communication Gap.- Design Resonator Loaded CPW Microwave Sensor for Fuel Adulteration Detection.- Obstacle Detection, Avoidance and Speed Control of an IoT based Post Disaster Autonomous Rover.

Über Autor(innen)

Ashwin Kothari received his Ph.D. degree from the Visvesvaraya National Institute of Technology (VNIT), Nagpur, India. He has over 30 years of teaching experience and one year of industry experience. He is currently serving as a professor and head of the Department of Electronics and Communication Engineering at VNIT. Dr. Kothari has published extensively in SCI- and Scopus-indexed journals and has contributed book chapters to reputed publications. He has served and continues to serve as a reviewer and editor for several national and international journals of repute. He holds six granted patents and has guided numerous Ph.D. scholars. His research interests include image processing, signal processing, antennas and wave propagation, electromagnetics, communication systems, and rough sets. He has led several projects of socio-economic relevance and developed working prototypes and products addressing assistive technologies and other societal challenges.

Sudhir Kumar received his Ph.D. degree from the Department of Electrical Engineering, Indian Institute of Technology (IIT) Kanpur, India, in 2015. He is currently an associate professor in the Department of Electrical Engineering at the Indian Institute of Technology Patna. He has been an Erasmus Mundus fellow at the University of Oxford, United Kingdom. Dr. Kumar is the author of the book and has undertaken several sponsored research projects funded by the Government of India. He has published more than 100 research papers in prestigious journals and conference proceedings. His research interests broadly focus on the applications of signal processing, machine and deep learning, and quantum computing for Internet of Things (IoT) networks.