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Proceedings of International Conference on Recent Trends in Computing : ICRTC 2025, Volume 2 / edited by Rajendra Prasad Mahapatra, Sudip Roy, D. Ganesh Gopal.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Mahapatra, Rajendra Prasad.
Contributor:
Mahapatra
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1726
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Cooperating objects (Computer systems).
Internet of things.
Big data.
Computational Intelligence.
Artificial Intelligence.
Cyber-Physical Systems.
Internet of Things.
Big Data.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Cyber-Physical Systems.
Internet of Things.
Big Data.
Physical Description:
1 online resource (559 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2025) organized by SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during July 4–5, 2025. The book is divided into two volumes and discusses a wide variety of industrial, engineering, and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data, and the Internet of Things.
Contents:
A Deep Transfer Learning Approach For Image Based Disease Detection
Analysis of an Encryption Technique in Multi-Tenant Cloud Environment
Detection and Classification of Non-Melanoma Skin Cancer Using Deep Learning Model
Enhancing Image Quality and Early Gastric Cancer Detection
HOME AUTOMATION USING AUGMENTED REALITY
Enhancing Cybersecurity Through Effective DoS and Brute Force Attack Management
Privacy - Preserving Sign Language Recognition: A Federated Learning Approach for Decentralised and Secure Communication Systems
Ethereum Smart Contracts for Blockchain Crowdfunding
Enhancing Human Face Recognition using a Hybrid CNN and Softmax Based Model
Underwater Communication Through LiFi Technology Using an LED Matrix-Based System
THE EVOLVING LANDSCAPE OF CLOUD COMPUTING: AI INTEGRATION, THREATS, CHALLENGES AND SECURITY CONCERNS
A Hybrid Machine Learning Approach for Enhanced Software Defect Prediction through Optimized Feature Selection
Realtime Image Analyzing and Captioning with Voice Output for Visually Impaired Individuals
Design and Implementation of an IPL Auction System using PHP and MySQL: A Web-Based Bidding Platform
Economic and Technical Innovations in the AI Age: Transforming Modern Business Practices
Motor Imagery Classification Using CEEMDAN-HHT Features with PCC-Optimized IMF Selection
Analyzing Big Data Research: A Informetric Perspective on Challenges
Formal Verification and Comparative Analysis of a Lightweight Authentication Protocol for IoT Healthcare Applications
Real-Tomato Plant Health Monitoring and Disease Prediction Using ML Models
Real-Time Congestion Analysis and Adaptive Redistribution with YOLOv8
A Hybrid Image Compression Framework Using DWT and Wavelet-GAN with Entropy Coding
Long Reach High Speed MEO based Inter-satellite Optical Wireless Incorporating Dual m-QAMs
Intelligent Brain Tumor Diagnosis From MRI Using Machine Learning Techniques
Deep Learning Driven Smart Surveillance System for Wildlife Conservation and Anti-Poaching Efforts
Analysis of Energy Harvesting Schemes of Wireless Body Area Sensor Networks
Student Performance Modeling using Stacked Regressor
Arduino Based PV Cell Charging Using Solar Tracker System
Comparative Analysis of Water Quality Assessment of Delhi using Machine Learning Models
Design and Implementation of a Smart Helmet System for Enhanced Rider Safety
Glaucoma Detection from Fundus Images Using Texture Features and Machine Learning Techniques
Embedded Control System Development: A Model Based Design Approach
Enhancing Financial Security: Advanced Fraud Detection Method
Natural Language Processing for Sentimental Analysis.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-11453-5
9783032114532
OCLC:
1572218222

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