Proceedings of the Second Congress on Control, Robotics, and Mechatronics : CRM 2025, Volume 1 / edited by Harish Sharma, Pradeep Kumar Jha, Prashant Jamwal, Brajesh Tripathi, Pankaj Kumar.

Format:

Book

Author/Creator:

Sharma, Harish.

Contributor:

Jha, Pradeep Kumar.

Jamwal, Prashant.

Tripathi, Brajesh.

Kumar, Pankaj.

Series:

Smart Innovation, Systems and Technologies, 2190-3026 ; 447

Language:

English

Subjects (All):

Automatic control.

Robotics.

Automation.

Mechanical engineering.

Artificial intelligence.

Control, Robotics, Automation.

Mechanical Engineering.

Artificial Intelligence.

Local Subjects:

Control, Robotics, Automation.

Mechanical Engineering.

Artificial Intelligence.

Physical Description:

1 online resource (672 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book features high-quality research papers presented at the International Conference of Mechanical and Robotic Engineering “Congress on Control, Robotics, and Mechatronics” (CRM 2025), jointly organized by SR University, Warangal, India, and Soft Computing Research Society, India, during 1–2 February 2025. This book discusses the topics such as combustion and fuels, controls and dynamics, fluid mechanics, I.C. engines and automobile engineering, machine design, mechatronics, rotor dynamics, solid mechanics, thermodynamics and combustion engineering, composite material, aerodynamics, aerial vehicles, missiles and robots, automatic design and manufacturing, artificial intelligence, unmanned aerial vehicles, autonomous robotic vehicles, evolutionary robotics, humanoids, hardware architecture, industrial robotics, intelligent control systems, microsensors and actuators, multi-robots systems, neural decoding algorithms, neural networks for mobile robots, space robotics, control theory and applications, model predictive control, variable structure control, and decentralized control.

Contents:

Forecasting Energy Production at Solar Substations using Gated Recurrent Units Networks Optimized by Modified Metaheuristics

Voltage Profile Optimization in AVR using Machine Learning Techniques

Fall Detection Using Wi-Fi Signals: Adaptive Residual Dense Network with Convolutional Block Attention Module and Bio-Inspired Optimization Algorithm

Leveraging Machine Learning for Patient-Friendly Medical Reports: Simplifying Healthcare Information for Improved Understanding and Decision-Making

An Optimized Low-Energy Adaptive Uneven Clustering Hierarchy for Cognitive Radio Sensor Networks

Automated License Plate Detection and Recognition

Classifying Birds of South America via Audio Analysis with Convolutional Networks Optimized by Metaheuristics

Automated Detection of Paddy Crop Diseases using Efficientnetb5 Model for Precision Agriculture

Weighted Voting Based Deep Ensemble Learning Framework for Digital Watermark Classification

Navigating Through Wormholes: A Review of Worm-hole Attacks in Network Security

A Comparative Analysis of Sarcasm Detection on News Headlines using Machine Learning Techniques

A Smart Jacket System for Continuous, Real-Time Health Monitoring and Environmental Adaptation in Extreme Snowy Climates

Advancements in Wastewater Treatment and Reuse: A Critical Overview

Universal ATM Card for Consolidated Account Management

ForgeryGuard: Digital Shield for Document Security

Next-Generation E-Commerce: Leveraging Blockchain and AI for Secure and Autonomous Shopping Ecosystems

Dreamscapes and Virtual Realms: Exploring VR’s Impact on Dream Patterns

A Rule-based Intelligent Framework for Condition Monitoring of Sensor Health in PMSM Drives

Enhancing Victim Detection in Disaster Scenarios: A YOLOv7 and YOLOv8 Performance Study

Sentinel-2 Time Series Flood Mapping: Exploration of Flood Extent in the Caprivi Floodplain

Identification of AI generated images via a Raspberry Pi camera in conjunction with ML models

Smart Garden Irrigation System for Precision Watering and Plant Care

Real-Time Multi-Sensor Embedded System for Environmental and Health Monitoring using IoT

An Integrated Ensemble Learning Framework for Tool Condition Monitoring: Bridging Diagnostics and Prognostics to Enhance Manufacturing Productivity

IoT-Integrated Air Quality Monitoring System

Prediction of Venous Needle Displacement (VND) and Smart Saline Level Monitoring during Haemodialysis

Efficient Water Quality Monitoring: Multi-Parameter Real-Time System with Integrated Visual Feedback Mechanism

Healthsync: Redefining Integrated Healthcare with AI and Modern Web Technologies

Automated Weed Detection in Agricultural Fields Using Deep Learning and Image Processing: A CNN- Based Approach

Toward Hybrid Security Models in IoT: Exploring Elliptic Curve Cryptography and LSTM-Based Threat Detection Approaches

Optimizing Musical Genre Recognition using CNN and MFCCs: A Deep Learning Approach

Towards Hands-Free Threat Detection: A Voice-Activated Framework for Automated Penetration Testing

Artificial Intelligence-Based System for Monitoring Fruit and Vegetable Freshness and Quality

Vaultuino: An Arduino-based Multi-Factor Authentication and RFID Bank Safe Security System

A Wavelet Transform-Based Method for Diagnosing Leaf Diseases in Precision Agriculture

Tech-Savvy Pet Feeding: A Smarter Way to Care for Your Companion

Unified Deep Learning Approach with Ensemble Framework for Improved Video Action Classification

PathPower: Footstep-Driven Street Lighting

Web-Integrated Heart Monitoring System using Microcontroller and Raspberry-Pi Server

Deep Learning based Approach for Identifying Forged Handwritten Signatures.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9675-45-6

9789819675456

OCLC:

1572190268