Chandrakar / Naik / Akhtar Computational Intelligence and Network Security

Second International Conference, ICCINS 2025, Raipur, India, April 3–4, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-09572-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 394 Seiten

Reihe: Mathematics and Statistics

This book constitutes the conference proceedings of the Second International Conference on Computational Intelligence and Network Security, ICCINS 2025 held in Raipur, India, during April 2-4, 2025.

The 30 full papers were carefully reviewed and selected from 205 submissions. They were categorized under the following topical sections: Machine Learning and Computational Intelligence; Intelligent Networking and Communication Systems; Cybersecurity, Privacy, and System Design.

Zielgruppe

Research

Autoren/Hrsg.

Chandrakar, Preeti

Naik, K. Jairam

Akhtar, Zahid

Ming Chen, Chien

Mohan, Karnati

Inhaltsverzeichnis

Machine Learning and Computational Intelligence.- Machine Learning-Driven Cardiovascular Disease Prediction: Balancing Performance and Transparency with Hybrid Models.- FractureNet: A Compact CNN Model for High-Accuracy Bone Fracture Detection and Classification.- CODLSTM: Predicting Time Series Glucose Levels Using One-Dimensional Convolutions and Memory-Augmented Recurrent Networks.- EEG-Based Schizophrenia Classification with Residual Dilated Multi-Scale Network.- Quantum Recurrent Neural Network-Based Classification of Ammonia Contamination in Aquatic Environments.- Predictive Analytics in Agriculture: Leveraging ANN for Crop Yield Forecasting.- TabNet-Based Crop Yield Prediction for SmartAgriculture.- Enhancing Speech Emotion Recognition with Hybrid Deep Learning Models and Multi-Feature Fusion.- Brain Tumor Detection and Classification on MRI Images using YOLO based Deep Learning Model.- Deep Multi-Label Classification for Automated Ocular Disease Detection Using Enhanced CNN Architectures.- From Data to Diagnosis: Machine Learning Solutions for Hepatitis C Virus Classification.- PatchSimNet: Patch-Based Siamese Model for Text Independent Handwriting Similarity Detection.- Bitcoin Financial Forecasting: Analyzing the Impact of Moving Average Strategies on Trading Performance.- Explainable Sentiment Analysis on Social Media: A Unified Approach with BERT and Token-Level Insights.- A Convolutional Neural Network- Based Approach for Detection and classification of weed in Agriculture.- Quantum- Enhanced Algorithmic Advancements for Solving Curse of Dimensionality Problem.- Intelligent Networking and Communication Systems.- Optimizing Energy Efficiency through Power Factor Monitoring: A Smart Approach with IoT Sensors.- Describing the properties of privacy tools to non-expert users.- A Method to Optimally Discover the Controller Locations in Software-Defined Networks.- Graeco-Latin Square-Based Modified Moss Growth Optimization (GLS-mMGO): A 
Triumvirate of Optimization Paradigms for Resource Allocation in 6G Network.- Optimizing Charger Placement for Q-Coverage Using Blackhole Algorithm.- Reducing the Carbon Footprint of Data Centers: CNN-Transformer-Based Workload Prediction for Green Cloud Computing.- Convolutional Neural Networks Based Decision Making for Adaptive Modulation and Coding in 5G Networks.- Blockchain-based authentication protocol integrated with PUFs for secure vehicular 
communication.- Cybersecurity, Privacy, and System Design.- Zero Trust Framework for Enhancing Security in Container Ecosystems.- Securing Online Transactions for Robust Payment Processing Mechanisms in AI Driven World.- An Improved AI Based System for Criminal Identification and Public Safety.- Assessing Hybrid Consensus Mechanisms: A Detailed Evaluation of PoS and PoET with Regard to Blockchain Efficiency.- Enhancing Linux Security: A Framework for Automated Misconfiguration Analysis and Remediation.- A New Idea of the Clipping limit to Control the Enhancement Level Based on the Quantile Value of the Entropy Curve.