Computational Intelligence and Network Security

Second International Conference, ICCINS 2025, Raipur, India, April 3–4, 2025, Proceedings

Häftad, Engelska, 2026

AvPreeti Chandrakar,K. Jairam Naik,Zahid Akhtar,Chien Ming Chen,Karnati Mohan

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This book CCIS 2738 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 topical sections as follows:Machine Learning and Computational IntelligenceIntelligent Networking and Communication SystemsCybersecurity, Privacy, and System Design

Produktinformation

Utgivningsdatum2026-01-24
Mått155 x 235 x 23 mm
Vikt616 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor394
FörlagSpringer Nature Switzerland AG
ISBN9783032095718

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Databaser inom Data och IT
Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT
Matematisk statistik inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT

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.

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