Computational Intelligence and Network Security : Second International Conference, ICCINS 2025, Raipur, India, April 3–4, 2025, Proceedings / edited by Preeti Chandrakar, K. Jairam Naik, Zahid Akhtar, Chien Ming Chen, Karnati Mohan.

Format:

Book

Author/Creator:

Chandrakar, Preeti.

Contributor:

Chandrakar

Series:

Communications in Computer and Information Science, 1865-0937 ; 2738

Language:

English

Subjects (All):

Quantitative research.

Mathematical statistics--Data processing.

Mathematical statistics.

Data Analysis and Big Data.

Statistics and Computing.

Local Subjects:

Data Analysis and Big Data.

Statistics and Computing.

Physical Description:

1 online resource (547 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-09572-7

9783032095725

OCLC:

1570556155