Signal Processing, Telecommunication & Embedded Systems: AI and ML Applications : Proceedings of Ninth International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2024), Volume 3 / edited by Vikrant Bhateja, Zaid Omar, Anumoy Ghosh, Sarika Shrivastava.

Format:

Book

Contributor:

Bhateja, Vikrant, Editor.

Omar, Zaid., Editor.

Ghosh, Anumoy., Editor.

Shrivastava, Sarika., Editor.

Series:

Lecture Notes in Electrical Engineering, 1876-1119 ; 1430

Language:

English

Subjects (All):

Electronic circuits.

Electronics.

Cooperating objects (Computer systems).

Internet of things.

Electronic Circuits and Systems.

Electronics and Microelectronics, Instrumentation.

Cyber-Physical Systems.

Internet of Things.

Local Subjects:

Electronic Circuits and Systems.

Electronics and Microelectronics, Instrumentation.

Cyber-Physical Systems.

Internet of Things.

Physical Description:

1 online resource (XIV, 625 p. 270 illus., 228 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2024), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India, during 19–20 December 2024. The book is divided into four volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and shares the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

Contents:

Forecasting Energy Production at Solar Substations Using LSTM Networks Optimized by Adaptive Metaheuristics

Various Power Efficient Adiabatic Logics for Low Power VLSI Circuits

Optimizing Local Storage by Implementing Hash-Based Deduplication to Reduce File Size and Improve Storage Efficiency

An Overview of Underwater Optical, Acoustic, and Hybrid Modems: Design Challenges, Recent Developments, and Obstacles in Underwater Communication

Memory based Parallel FFT Architecture for High Speed Applications

Evaluating Frequency and Predication Based Word Embedding Models for Natural Language Processing

Real Time Driver Drowsiness Detection for Safe Driving

Implementation of SecureNet AdaptShield for Network Security using GNS3

Deep Learning for Parkinson’s Detection Through DatScan imaging and voice Data

A Distinctive review of Brushless Doubly Fed Reluctance Machine (BDFRM) based Wind turbine system

Alzhiemer Disease Detection using MobileNetV2 Integrated with Vision Transformer

ANN Based Loss Estimation of Power Networks at Different Load Variations

Multimodal Diagnostics for Wilson’s Disease Bridging Object Detection, Large Language Model and Speech Synthesis

A Robust Heart Disease Prediction System using SVM Classifier Deep Learning

Hybrid Machine Learning Model for Fault Detection in Electrical Grids

Efficient Flood Detection via Deep Ensemble Learning Methods

Enhanced Crop Classification Using Remote Sensing and Machine Learning Techniques: A Study Leveraging Sentinel-1, Sentinel-2, and Google Earth Engine

Dual Tuned Absorber and Linear to Cross Polarization Converter using Graphene and Vanadium Dioxide Metasurface

Predicting Cardiovascular Syndrome Using Machine Learning Techniques: A Comparative Analysis

Optimizing Traffic Flow in Traffic Signal Controlling System with AI ML

Detection of Cardiovascular Disease by ECG Images Using LSTM

DeepMango: Understanding and Analysis of Deep Models in Mango Leaf Disease Detection

Smart Agriculture: Real-Time Plant Disease Classification with CNN and ResNet

Enhanced CNN Model Techniques for Classification of Brain Tumor and Approaches

A Hybrid Algorithm to Predict Parkinson's Disease Using Freezing of Gait

Quantum Enhanced Vickrey Clarke Groves Auction for Optimal Resource Allocation in Mobile Adhoc Networks

The Role of Artificial Intelligence in Modernizing Arbitration: Opportunities and Challenges

Chronic Kidney Disease Prediction: A Study of Encrypted Datasets

VisionGrip: Revolutionizing Motor Functionality in Carpal Tunnel Syndrome and Radial Nerve Palsy Patients Through EOG-Controlled Robotic Claw

Advancing Underwater Trash Detection: A Hybrid Approach with ESRGAN and YOLOv11

Reinforcement learning-based traffic signal control

Lora-IoT based efficient data prediction model for agricultural applications using Deep Maxout Neural Network

Machine Learning for Optical Network: A Survey

Adoption Strategies and Perceptions of Data Mining Techniques Among Data Scientists: An Exploratory Study

Assessing Public Awareness and Vulnerability to Crypto currency Scams: A Qualitative Study

Diabetes prediction using IoT and Bagging Classifier

Skin Disease Detection Using Resnet-50 and Machine Learning Based Enhanced Random Forest Approach

IoT-Enhanced Predictive Models for Brain Stroke Care using Machine Learning

Pick and Place Robotic Vehicle with Arm

A Machine Learning Approach for Early Detection of Diabetes

Deep learning-based hand gesture classification via sequential and ensemble EMG denoising: Devising a potential pathway for BCI-fostered motor rehabilitation system

Comprehensive Insights into Deep Learning Techniques for Biomedical Image Processing

Sales Prediction for Solving Food Wastage with Machine Learning Algorithms on French Bakery Shop

A Comparative Study of Deep Learning Models for Breast Cancer Diagnosis

Fortifying Cloud Security: A Reliable Multi-Level Encryption Framework for Safeguarding Data

Fuzzy Logic-Based Recruitment for Software Engineering Domain: A Modified Mamdani Model

Enhancing Efficiency and Economic Impact of Public Transportation in Malaysia through Ubiquitous Computing Integration

Enhancing Life Quality for People Who Stutter through an AI-Driven Interactive Website - Assistance for People Who Stutter (AFPWS)

Integrating Cloud-based Crowdsourcing and Interactive Learning for Enhanced Code Smell Identification and Resolution.

ISBN:

9789819672493