Computational Intelligence and Network Security
Second International Conference, ICCINS 2025, Raipur, India, April 3-4, 2025, Proceedings
Herausgegeben:Chandrakar, Preeti; Naik, K. Jairam; Akhtar, Zahid; Ming Chen, Chien; Mohan, Karnati
Computational Intelligence and Network Security
Second International Conference, ICCINS 2025, Raipur, India, April 3-4, 2025, Proceedings
Herausgegeben:Chandrakar, Preeti; Naik, K. Jairam; Akhtar, Zahid; Ming Chen, Chien; Mohan, Karnati
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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.
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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.
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.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 2738
- Verlag: Springer, Berlin; Springer
- Artikelnr. des Verlages: 89585326
- Seitenzahl: 363
- Erscheinungstermin: 21. Dezember 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032095718
- ISBN-10: 3032095719
- Artikelnr.: 75481688
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Communications in Computer and Information Science 2738
- Verlag: Springer, Berlin; Springer
- Artikelnr. des Verlages: 89585326
- Seitenzahl: 363
- Erscheinungstermin: 21. Dezember 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9783032095718
- ISBN-10: 3032095719
- Artikelnr.: 75481688
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
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.
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.
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.
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.







