Vol. 2 No. 4 (2024): Electronics, Communications, and Computing Summit -Winter 2024 (Oct-Dec)

The Winter 2024 issue (Vol. 2 No. 4) of Electronics, Communications, and Computing marks the conclusion of Volume 2 with a rich compilation of high-impact research and summit contributions from the final quarter of the year. This special issue captures the highlights of the Electronics, Communications, and Computing Summit, focusing on seasonal advancements, keynote perspectives, and emerging academic-industry collaborations.

Articles in this edition explore cutting-edge developments in reconfigurable hardware, terahertz communication systems, intelligent sensor networks, and AI-accelerated edge computing. It also features in-depth analyses of secure communication protocols, neuromorphic circuits, and sustainable computing models optimized for real-time deployment.

With a strong emphasis on interdisciplinary integration and innovation, this issue reflects the ECC Summit’s role as a catalyst for shaping the next wave of research in electronics, wireless communications, and intelligent computing technologies.

Published: 2025-06-24

Submission

Table of Content

Presents the conference Table of Contents
- PDF
Multi-Objective Evolutionary Algorithms for AI-Accelerated Sub-5 nm Floorplanning

Noel Unciano, Amina El-Fahmy

1-11
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Secure and Scalable Federated Learning for Predictive Maintenance in Industry 4.0 Environments

Prerna Dusi

12-20
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Design of Smart Wearable for Cardiopulmonary Monitoring with Adaptive Feedback Loop

Zafar Khan, Takashi Mori

21-31
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Bio-Inspired Edge Intelligence: Neuromorphic Architectures for Real-Time Biomedical Signal Classification

Ashu Nayak

32-41
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Battery-Free Wearable Electronics Using RF Energy Harvesting and Ultra-Low-Power Sensors

Ranjan Kumar Dahal, Felip Cidea

42-51
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Edge-Aware Federated Learning-Based Channel Equalization for Robust Communication in 6G-Enabled IoT Networks

F Rahman

52-58
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GPU-Accelerated Deep Learning Models for High-Volume Signal Processing in VLSI Testing

Hartwig Henry Hochmair, Y. Charabib

59-64
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Cross-Layer AI Models for Intrusion Detection in Cloud-Integrated IoT Networks

Raj Nandkeolyar

65-71
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Design and Implementation of Hardware-Embedded Lightweight Cryptographic Engines for Secure IoT Edge Devices

Xiaoye Liu, L. Salabi

72-79
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Scalable Edge-Based Architecture for Real-Time Video Analytics in Smart Transportation Systems

Charpe Prasanjeet Prabhakar

80-85
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AI-Driven Resource Allocation for Energy-Efficient 6G Massive MIMO Networks

Hartwig Henry Hochmair, Ricardo Alvarez

86-91
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Fusion of Big Data Analytics and Deep Learning for Predictive Fault Diagnosis in Cyber-Physical Energy Systems

Pushplata Patel

92-98
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Deep Reinforcement Learning-Based Beam Selection and Tracking for Energy-Efficient mmWave Beamforming in 6G Networks

Noemi Emanuela Cazzaniga, Barek F. Fatem

99-104
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Scalable Fabrication Techniques for Flexible Nanoelectronic Devices

Sumit Ramswami Punam

105-117
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2D Material-Based Tunnel FETs for Energy-Efficient Logic Switching

Raveendra H Patil, Cedmir Arangunic

118-127
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Vol. 2 No. 4 (2024): Electronics, Communications, and Computing Summit -Winter 2024 (Oct-Dec)

Submission

Table of Content

Multi-Objective Evolutionary Algorithms for AI-Accelerated Sub-5 nm Floorplanning

Secure and Scalable Federated Learning for Predictive Maintenance in Industry 4.0 Environments

Design of Smart Wearable for Cardiopulmonary Monitoring with Adaptive Feedback Loop

Bio-Inspired Edge Intelligence: Neuromorphic Architectures for Real-Time Biomedical Signal Classification

Battery-Free Wearable Electronics Using RF Energy Harvesting and Ultra-Low-Power Sensors

Edge-Aware Federated Learning-Based Channel Equalization for Robust Communication in 6G-Enabled IoT Networks

GPU-Accelerated Deep Learning Models for High-Volume Signal Processing in VLSI Testing

Cross-Layer AI Models for Intrusion Detection in Cloud-Integrated IoT Networks

Design and Implementation of Hardware-Embedded Lightweight Cryptographic Engines for Secure IoT Edge Devices

Scalable Edge-Based Architecture for Real-Time Video Analytics in Smart Transportation Systems

AI-Driven Resource Allocation for Energy-Efficient 6G Massive MIMO Networks

Fusion of Big Data Analytics and Deep Learning for Predictive Fault Diagnosis in Cyber-Physical Energy Systems

Deep Reinforcement Learning-Based Beam Selection and Tracking for Energy-Efficient mmWave Beamforming in 6G Networks

Scalable Fabrication Techniques for Flexible Nanoelectronic Devices

2D Material-Based Tunnel FETs for Energy-Efficient Logic Switching

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Call for Papers – ECC Summit 2025