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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 2

Hassanien Aboul Ella

Singapore : , : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 7

Hassanien Aboul Ella

Singapore : , : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 1

Hassanien Aboul Ella

Singapore : , : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC-2025, Volume 4

Hassanien Aboul Ella

Singapore : , : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 10 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar

Hassanien Aboul Ella

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 9 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar

Hassanien Aboul Ella

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 5 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar

Hassanien Aboul Ella

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 6

Hassanien Aboul Ella

Singapore : , : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2025, Volume 3 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar

Hassanien Aboul Ella

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

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Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 4 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar

Hassanien Aboul Ella

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

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2024 (3)
2023 (1)

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Communications Engineering, Networks (9)
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Autore	Hassanien Aboul Ella
Edizione	[1st ed.]
Pubbl/distr/stampa	Singapore : , : Springer, , 2025
Descrizione fisica	1 online resource (775 pages)
Disciplina	004
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems Series
Soggetto topico	COMPUTERS / Artificial Intelligence / General COMPUTERS / Cybernetics COMPUTERS / Networking / General
ISBN	981-9666-81-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911028761003321

Autore	Hassanien Aboul Ella
Edizione	[1st ed.]
Pubbl/distr/stampa	Singapore : , : Springer, , 2025
Descrizione fisica	1 online resource (809 pages)
Disciplina	004
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems Series
Soggetto topico	COMPUTERS / Artificial Intelligence / General COMPUTERS / Cybernetics COMPUTERS / Networking / General
ISBN	981-9671-34-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911028654703321

Autore	Hassanien Aboul Ella
Edizione	[1st ed.]
Pubbl/distr/stampa	Singapore : , : Springer, , 2025
Descrizione fisica	1 online resource (807 pages)
Disciplina	004
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems Series
Soggetto topico	COMPUTERS / Artificial Intelligence / General COMPUTERS / Cybernetics COMPUTERS / Networking / General
ISBN	981-9668-83-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911028742003321

Autore	Hassanien Aboul Ella
Edizione	[1st ed.]
Pubbl/distr/stampa	Singapore : , : Springer, , 2025
Descrizione fisica	1 online resource (787 pages)
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems Series
Soggetto topico	COMPUTERS / Artificial Intelligence / General COMPUTERS / Cybernetics COMPUTERS / Networking / General
ISBN	981-9671-31-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911028658203321

Autore	Hassanien Aboul Ella
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (789 pages)
Disciplina	004
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Telecommunication Cooperating objects (Computer systems) Internet of things Artificial intelligence Communications Engineering, Networks Cyber-Physical Systems Internet of Things Artificial Intelligence
ISBN	981-9671-37-X 9789819671373
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Chapter 1:Resilient Video Watermarking Algorithm Employing Cryptography and Moving Frames -- Chapter 2: Next-Gen Predictive Analytics: Machine Learning Transformations ni Diabetes Diagnosis -- Chapter 3: Fake News Detection using machine learning and deep learning -- Chapter 4: Chebyshev Polynomial based Relatively Slow Algorithm and Advanced Encryption Standard for Cloud Security -- Chapter 5: Degree Day Function-Snow Ablation Optimization Algorithm based Task Scheduling in Cloud Environment -- Chapter 6: Global Memory-Gravitational Search AlgorithmbasedResourceAllocationin Cloud Environment -- Chapter 7: Multiheaded Neural Network Optimization Handled by Modified Metaheuristic Optimizer for Increased Forecasting Performance.-Chapter 8: Developing a Machine Learning Framework for Optimizing Electric Vehicle Charging Infrastructure Deployment in India -- Chapter 9: Improving Hindi Hate Speech Detection: Optimized LSTM with SparrowSearchandG-BERTmodel -- Chapter 10: ONTOLOGY SYNTHESIS ON ARBORICULTURE AND COMMUNITY FOREST MANAGEMENT.-.
Record Nr.	UNINA-9911031569503321

Autore	Hassanien Aboul Ella
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (808 pages)
Disciplina	621.382
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Telecommunication Cooperating objects (Computer systems) Internet of things Artificial intelligence Communications Engineering, Networks Cyber-Physical Systems Internet of Things Artificial Intelligence
ISBN	981-9667-15-1 9789819667154
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	chapter 1 :"Comparative Analysis of Deep Learning Architectures for PCOS Detection: A CrossValidation Approach" -- chapter 2 :Terrain Guard: Smart Landslide Detection and Alert System -- chapter 3 :Comparative Analysis of Balanced a n d Imbalanced Datasets of Human Peripheral Blood Cells using EfficientNet BO-B7 Models -- chapter 4 :Enhancing Lung Cancer Diagonosis through CNN-based Analysis clinical and Histopathological Data -- chapter 5 :"Adaptive Convolutional Neural Network Model for Plant Leaf Disease Detection in Smart Agriculture" -- chapter 6 :Innovative approaches to early disease Detection in Medicinal Plants using Deep Learning Techniques -- chapter 7 :TweetScope: Unlocking Sentiment Insights with Machine Leaming and Deep Leamlna Svnerav -- chapter 8 :Modern Neuro-Fuzzy Soft Computing Models for Pile Foundation Bearing Capacity: A Comparison of ANFIS and PSO- ANFIS -- chapter 9 :Comparative Analysis of Machine Learning Techniques in the Oil and Gas Pipeline and Automobile Industries -- chapter 10 :Conventional and AI-Based Imaging Techniques for Biomarker Discovery in Chronic Liver Disease -- chapter 11 :AI-Driven Optical Sensing Techniques for Non-Invasive Kidney Function Evaluation -- chapter 12 :Predicting Cryptocurrency Prices Using Various Time Series ML Models -- chapter 13 :Comparison of Li-ion battery and supercapacitor in EV using Simulink -- chapter 14 :Solar Photovoltaic Networked Microgrid Design and Operational Performance Measurements -- chapter 15 :"A Comprehensive Guide to Post-Quantum Cryptography and Lightweight Security Solutions" -- chapter 16:Medical Data Security for e-Healthcare Practices: A Review Quantification -- chapter 17 :Overlapping Community Detection using CNN with PSO Optimization and fuzzy C-means -- chapter 18 :Machine Learning-Based Cybersecurity Mechanisms for IoT Networks: Detection and Prevention of Cyber Attacks -- chapter 19 :Advanced Supervision Systems in Exercise Training: Integrating Human Oversight with Wearable Technology for Performance Enhancement -- chapter 20 :Improving Predictive Analysis through Integrated Transfer Learning: Leveraging Fine-Tuning and Model Stacking Techniques -- chapter 21 :A Systematic Literature Review on Recent Advancements in Emotion Detection from Text Using Dep Learning Techniques -- chapter 22 :A Review of Explainable AI Techniques for enhancing Interpretability in Healthcare -- chapter 23:Sonosync : Intelligent Traffic Optimiztion System for Hairpin Bends -- chapter 24:Comparison of Li-ion battery and supercapacitor in EV using Simulink -- chapter 25:A Study on Blockchain Technology: Architecture, Consensus and Applications -- chapter 26:Phishing URL Detection using Machine Learning: Harnessing Data Analysis to Strengthen Cyber security -- chapter 27 :IOT based On-Board Units for Smart Traffic Control Aligned with Industry 4.0 -- chapter 28 :Deep LocAWS: A Deep Multilayer Perceptron Neural Network Collaborative Filtering for Location-Aware Web Service ecommendation -- chapter 29:Enhancing Adaptability, Security, and Resource Optimization by Converging Generative AI with IoT -- chapter 30:AI-driven Education Loan Approval Automation for Indian Banks -- chapter 31:SIGN LANGUAGE RECOGNITION USING DEEP LEARNING AND COMPUTER VISION -- chapter 32:Current Trends and Future Prospects of Generative AI-Driven IoT -- chapter 33:loT-Enabled Adaptive Traffic Signal Control System for Real-Time Emergency Vehicle Prioritization and Traffic Flow Optimization -- chapter 34:A Hybrid DCNN-Gradient Boosting Approach for Glaucoma Severity Stage Detection with Instance Segmentation-Based Cup-Disc Localization -- chapter 35:Intelligent Management of Distribution Mechanisms Based on Machine Learning Algorithms for Optimal Data Storage -- chapter 36:Edge-Driven Real-Time UAV Thermal Imaging for Survivor Identification -- chapter 37:AI Enhanced Real Time Cross-Platform City Bus Tracking System with Integrated Chatbot -- chapter 38:Bridging the Gap Between Modalities: Advances and Challenges in Medical Image Fusion -- chapter 39:Advancing Malware Detection Through Comparative Analysis of Traditional Methods and Dynamic Hybrid Approaches with Machine Learning -- chapter 40:A System for Monitoring Chronic Disease Patients in Nursing Homes Using Machine Learning Techniques -- chapter 41 :Assessing Machine Learning Approaches for Load Pattern Analysis in Low Voltage Distribution System -- chapter 42 :Fuzzy Sets and Modified Spatial Frequency based Medical Image Fusion in UDWT Domain -- chapter 43:"Deep Learning-Assisted Detection of Bone Fractures: -- chapter 44:A CNN Approach for Enhanced Diagnostic Accuracy" -- chapter 45:Vector base in AI: A theoritical Framework for efficient data handling and retrieval.
Record Nr.	UNINA-9911031679903321

Autore	Hassanien Aboul Ella
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (694 pages)
Disciplina	621.382
Altri autori (Persone)	AnandSameer JaiswalAjay KumarPrabhat
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Telecommunication Cooperating objects (Computer systems) Internet of things Artificial intelligence Communications Engineering, Networks Cyber-Physical Systems Internet of Things Artificial Intelligence
ISBN	981-9738-17-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Low Voice Speech Conversion Analysis Using Novel Convolutional Neural Network Compared with K-Nearest Neighbor with Enhanced Accuracy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Convolutional Neural Networks -- 2.2 K-Nearest Neighbors -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- ML Models for Energy Efficiency in Office Buildings: A Comprehensive Comparative Analysis -- 1 Introduction -- 2 System Architecture -- 3 Study Method -- 4 Machine Learning Models -- 4.1 Logistic Regression -- 4.2 SVM -- 4.3 Decision Trees -- 4.4 Random Forest -- 4.5 Gradient Bossting -- 4.6 Multi-layer Perceptron (MLP) -- 5 Comparison of ML Models -- 5.1 Learning Curve -- 5.2 Validation Curve -- 6 Conclusion -- References -- Breast Cancer Prediction and Detection: Comparison of the Latest Machine Learning Techniques -- 1 Introduction -- 1.1 Contribution and Novelty -- 1.2 Limitations -- 2 Literature Review -- 2.1 Embryonic Stages-Texture Analysis -- 2.2 Deep Learning-A New Dawn -- 2.3 Transfer Learning-Bridging Past and Present -- 2.4 Computer-Aided Diagnosis (CAD)-The Modern Frontier -- 2.5 A Departure-Embracing Artificial Intelligence in a Novel Manner -- 2.6 Support Vector Machines (SVMs) -- 2.7 Deep Learning Advancements -- 3 Research Design and Methodology -- 3.1 Dataset -- 3.2 Algorithm Selection and Model Design -- 3.3 Machine Learning Framework and Tools -- 3.4 Infrastructure Limitations -- 3.5 Ethical Considerations -- 4 Results and Discussion -- 4.1 Machine Learning Algorithm -- 4.2 CNNs -- 4.3 ResNet -- 4.4 VGGNet -- 5 Conclusion and Future Works -- 5.1 Future Works -- References -- GIS-Based Identification and Representation of Particulate Matters Using Ontology and SPARQL -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods. 3.1 Description of the Case Study -- 3.2 Field Study -- 3.3 Equipment Used in the Investigation -- 4 Proposed System -- 4.1 Creation of Knowledge Base in the Form of Ontology -- 4.2 Execution of SPARQL Query -- 5 Results and Discussion -- 5.1 PM 2.5 Concentration -- 5.2 PM 10 Concentration -- 6 Conclusion and Future Scope -- References -- Advancements in Arrhythmia Classification: A Comprehensive Survey of AI Techniques -- 1 Introduction -- 2 Related Work -- 3 Observations from the Literature -- 3.1 Conventional Machine Learning Methods -- 3.2 Deep Learning Models -- 3.3 Hybrid Techniques -- 3.4 Classification Techniques Application and Clinical Impact -- 4 Methodological Approach -- 4.1 Inclusion Criteria -- 4.2 Exclusion Criteria -- 4.3 Techniques Selection Criteria -- 4.4 Databases of ECG Datasets -- 5 Importance of Cardiac Arrhythmia Diagnosis Using Deep Learning -- 5.1 Automated Feature Learning in Deep Neural Networks -- 5.2 Addressing Challenges in ECG Signal Analysis -- 5.3 Handling Signal Variability -- 6 Challenges -- 7 Conclusion -- References -- Survey on VANET Authentication Scheme Based on Cryptographic Protocols -- 1 Introduction -- 1.1 Key Aspects of VANETs -- 1.2 Architecture of VANETs -- 1.3 Applications of VANETs -- 1.4 Privacy Issue of VANETs -- 2 Background Information -- 2.1 Traditional Digital Signature Scheme -- 2.2 Group Signature Scheme -- 2.3 Ring Signature Scheme -- 2.4 Conditional Privacy-Preserving Authentication Scheme (CPPA) -- 2.5 Blockchain-Based Authentication Schemes -- 3 Literature Survey -- 3.1 Traditional Digital Signature Scheme -- 3.2 Group Signature-Based Authentication Scheme -- 3.3 Ring Signature-Based Authentication Scheme -- 3.4 Threshold Signature-Based Authentication Scheme -- 3.5 Conditional Privacy-Preserving Authentication Scheme -- 4 Discussion -- 5 Conclusion and Future Work -- References. Exploring Machine Learning Models for Age Recognition -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 3.1 Dataset -- 4 Building a Balance Dataset -- 4.1 Feature Extraction from the Image -- 5 Implementation of Age Detection Models -- 6 Evaluation and Model Performance -- 6.1 Comparison Using Confusion Matrix -- 6.2 Summary of the Performance of Three Models -- 6.3 Performance of the Convolutional Neural Networks -- 6.4 Summary of Supervise Learning Models -- 7 Conclusion -- 8 Future Works and Recommendations -- References -- Novel Authentication Scheme to Increase Security of Vehicular Ad Hoc Networks -- 1 Introduction -- 1.1 Security Architecture -- 1.2 Technologies for Security Improvement -- 2 Literature Review -- 3 Research Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- A Study on the Working of Swarm-Based Metaheuristic Algorithms Using Theoretical Framework -- 1 Introduction -- 2 Swarm Intelligence -- 3 Proposed Theoretical Framework -- 4 Swarm-Based Metaheuristic Algorithms -- 4.1 Spotted Hyena Optimization (SHO) [7] -- 4.2 Harris Hawk Optimization (HHO) [12] -- 4.3 Seagull Optimization Algorithm (SeOA) [8] -- 4.4 Sailfish Optimizer (SO) [29] -- 4.5 Sooty Tern Optimization Algorithm (STOA) [6] -- 4.6 Sandpiper Optimization Algorithm (SOA) [16] -- 4.7 Golden Eagle Optimizer (GEO) [22] -- 4.8 Northern Goshawk Optimization (NGO) [5] -- 4.9 Red Fox Optimization (RFO) [25] -- 4.10 Chameleon Swarm Algorithm (CSO) [2] -- 4.11 Gannet Optimization Algorithm (GOA) [24] -- 5 Limitations of the Proposed Framework -- 6 Challenges -- 6.1 Swarm Size -- 6.2 Exploration-Exploitation Trade-Off -- 6.3 Parameter Tuning Using Sensitivity Analysis -- 6.4 Applicability Toward Large-Scale Real-World Problems -- 6.5 Lack of Theoretical Understanding -- 7 Conclusion and Future Directions -- References. Financial Fortunes: A Stock Price Prediction Using LSTM -- 1 Introduction -- 2 Background -- 2.1 FINVIZ -- 2.2 Reddit API -- 3 Literature Review -- 4 System Design and Solution -- 4.1 Methods and Methodology -- 4.2 Algorithm -- 5 Implementation -- 6 Results and Discussion -- 7 Conclusions and Future Scope -- References -- Utilization of Data Mining in Spatial Analysis of Displacement Crisis in Iraq -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 4.1 Spatial Analysis of the Displacement Crisis in Iraq Between 2014 and 2017 -- 5 Conclusion and Future Scope -- References -- Integrating Multimodal Data for Parkinson's Disease Prediction: An Ensemble Approach -- 1 Introduction -- 2 Related Works -- 2.1 Application of CNNs for Advanced Drawing Analysis -- 2.2 The Synergy of AI and the Spiral Test for PD Diagnosis -- 2.3 AI-Driven Drawing Evaluation for Disease Detection -- 3 System Design -- 3.1 Parkinson's Disease Speech Dataset Analysis -- 3.2 Parkinson's Disease Drawings Dataset Analysis -- 3.3 Multimodal Ensemble Approach -- 4 Ensemble Method of Averaging -- 4.1 Drawing Dataset -- 4.2 Multimodal Ensemble Approach -- 5 Conclusion -- References -- Mental Health Assessment Using EEG Sensor and Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Utilization of Machine Learning for Heart Failure Prediction and Diagnosis -- 4 Datasets and Evaluation Metrics -- 5 Results and Discussion -- 6 Conclusion -- References -- Enhancing Patterns Accessibility for Visually Impaired Programmers -- 1 Introduction -- 2 Related Work -- 3 Development Process of Pattern Reader -- 3.1 Problem Identification -- 3.2 Design -- 4 Experiment Design -- 4.1 Procedure -- 4.2 Analysis -- 4.3 Result -- 4.4 Participant Experience -- 5 Future Work -- 6 Conclusion -- References. Lung and Colon Cancer Detection: Advancing Automated Diagnosis Through Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 LC25000: De-identified Lung and Colon Tissue Images for Cancer Research -- 4 Research Proposal -- 5 Scope and Objective of Research -- 6 Conclusion -- References -- Detection of Micro and Macro Nutrient Deficiency in Okra (Abelmoschus Esculentus L) Plant Leaves Using Machine Learning Approach -- 1 Introduction -- 2 Background -- 3 Work Plan -- 4 Results and Discussion -- 5 Future Scope -- 6 Conclusion -- References -- Empowering Aspiring Artists: A Machine Learning-Powered Carnatic Music Tutor -- 1 Introduction -- 2 Related Work -- 2.1 Raga Classification Methods -- 2.2 Other Audio Analysis Techniques -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Note Identification -- 3.3 Raga Identification -- 3.4 Lyric Extraction -- 3.5 Video Generation -- 3.6 Evaluation -- 4 Experimental Results and Discussion -- 4.1 Note Identification -- 4.2 Raga Identification -- 4.3 Lyrics Extraction -- 5 Conclusion -- References -- Image Denoising Using Autoencoder: Utilizing Deep Learning and Autoencoder Techniques to Enhance Natural Images by Eliminating Noisy Pixels and Grains -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset -- 3.2 Image Denoising Using CNN -- 3.3 Network Architecture -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- An IoT-Based Animal Health Monitoring System -- 1 Introduction -- 2 Background -- 3 Proposed Methodology -- 3.1 Block Diagram -- 3.2 Hardware Requirements -- 3.3 Software Requirements -- 4 Results -- 5 Conclusion -- References -- Experimental Analysis of Four Gamma Correction Variants on Brain Tumor Images -- 1 Introduction -- 2 Variants of Gamma Correction -- 2.1 Adaptive Gamma Correction Image Enhancement (AGCIE). 2.2 Adaptive Gamma Correction and Color Preserving Framework (AGCCPF).
Record Nr.	UNINA-9910878991603321