Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2023 / / edited by Rabindra Nath Shaw, Sanjoy Das, Marcin Paprzycki, Ankush Ghosh, Monica Bianchini

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (649 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Telecommunication; Quantitative research; Computational Intelligence; Artificial Intelligence; Communications Engineering, Networks; Data Analysis and Big Data
• Persona (resp. second.): ShawRabindra Nath
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- Development of CNN-Based Feature Extraction and Multi-layer Perceptron for Eye Disease Detection -- 1 Introduction -- 2 Existing Works -- 2.1 Related Works -- 2.2 Research Gaps and Challenges -- 3 Methodology of Multiple Eye Disease Detection Technique -- 3.1 Proposed Detection System for Multiple Eye Disorder -- 3.2 Details of Eye Image Collection -- 4 Feature Extraction and Multi-layer Perceptron Model for Multiple Eye Disease Detection -- 4.1 CNN-Based Feature Extraction -- 4.2 Multi-layer Perceptron for Classification -- 5 Result and Discussions -- 6 Conclusion -- References -- Optimal Relay Node Selection Using Machine Learning to Extend Coverage in Disaster Area Network -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Network Architecture -- 3.2 Optimal Relay Node Selection Using Machine Learning Algorithm -- 3.3 Network Performance of the Proposed Model -- 3.4 Outage Probability Analysis -- 4 Result -- 5 Conclusion -- References -- A Structured Literature Review and Meta-analysis of Forecasting Methods for Energy Consumption in Smart Buildings -- 1 Introduction -- 2 Methodology -- 3 Energy Consumption in Smart Buildings -- 3.1 Need of Energy Consumption Forecasting in Smart Buildings -- 3.2 Energy Forecasting Methods -- 4 Black-Box Methods -- 5 White-Box Methods -- 6 Grey-Box Methods -- 7 Input Parameters -- 8 Prediction Intervals -- 9 Measures of Performance Analysis -- 10 Results and Discussion -- 11 Future Challenges -- 12 Conclusion -- References -- Document Summarization Leveraging Modified LexRank Algorithm -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 2 Methodology -- 3 Case Studies and Results -- 4 Conclusion -- References -- A Blockchain-Based Approach to Improve Data Integrity in Federated Cloud Environment -- 1 Introduction. ; 1.1 Federated Cloud Environments -- 1.2 Benefits of Cloud Federations -- 1.3 Data Integrity Challenges -- 1.4 Blockchain Overview -- 1.5 Blockchain Architecture -- 2 Literature Survey -- 2.1 Related Work -- 2.2 Comparative Study -- 3 Proposed Framework -- 3.1 Layer 1: Utilizing Permissioned Blockchain for Operation Tracking -- 3.2 Layer 2: Ensuring Integrity of Individual Data Items: -- 3.3 Elasticsearch -- 4 Strengths of the Proposed Framework -- 4.1 Enhanced Data Integrity -- 4.2 Efficient Consensus Mechanism -- 4.3 Mitigation of Side-Channel Attacks -- 4.4 Improved Leadership Selection -- 4.5 Robust Log Storage -- 4.6 Enhanced Security -- 4.7 Greater Transparency -- 4.8 Instant Traceability -- 5 Conclusion -- References -- Performance Analysis of Hybrid Cryptographic Algorithms in Serverless Platforms -- 1 Introduction -- 2 Background -- 2.1 Fernet Algorithm -- 2.2 RSA Algorithm -- 2.3 Triple DES Algorithm -- 3 Related Work -- 4 Proposed Hybrid Approach -- 4.1 Two-Tier Model -- 4.2 Three-Tier Model -- 5 Performance Analysis -- 5.1 Comparison with 3DES + RSA Model -- 6 Conclusion -- References -- Intensifying Cross Architecture Cyber-Resilience System with Descriptive Malware Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset -- 3.2 Concept Used -- 3.3 Proposed Method -- 4 Result -- 5 Conclusion -- 6 Future Scope -- References -- Challenges and Solutions in Integrating Narrowband IoT with Edge Computing: Resource Constraints, Security, Latency, and IDS Deployment -- 1 Introduction -- 1.1 Background -- 1.2 Objectives of the Study -- 1.3 Scope and Limitations -- 2 Literature Review -- 2.1 Previous Work on IoT and Edge Computing -- 2.2 Identified Areas Requiring Improvement -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Analysis Resource Constraints -- 4 Steps Used to Study the Dataset -- 5 Data Analysis. ; 5.1 Phase 1: Data Acquisition -- 5.2 Phase 2: Data Preprocessing -- 5.3 Phase 3: Exploratory Data Analysis (EDA) -- 5.4 Phase 4: Data Analysis -- 6 Conclusion -- 7 Areas for Further Research -- References -- An Automatic Brick Grading System Using Convolutional Neural Network: Bangladesh Perspective -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Splitting Data -- 3.4 Training -- 3.5 Evaluate Model -- 4 Experiment -- 4.1 Data Collection -- 4.2 Data Prepossessing -- 4.3 Libraries -- 4.4 Early Stopping -- 4.5 Convolutional Neural Network -- 4.6 Adam Optimizer -- 4.7 Hyperparameters -- 4.8 Training -- 4.9 Testing -- 5 Result and Discussion -- 5.1 Experimental Result -- 5.2 Evaluation Matrix -- 5.3 Training and Validation Loss -- 5.4 Training and Validation Accuracy -- 5.5 Confusion Matrix -- 5.6 Comparison -- 6 Conclusion -- 6.1 Limitations and Future Work -- References -- Optimization, Modelling and Evaluation of Marshall Stability of Asphaltic Concrete with Agricultural and Industrial Wastes Through Response Surface Method -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Evaluation of the Fitted Model Parameters -- 3.2 Interactive Effect of Significant Factors on Marshall Stability -- 4 Conclusion -- References -- A Query-Based Approach to Mitigate the Shortcomings of Widely Used Learning Methods Through E-Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Shortcomings of Existing Methods -- 2.2 E-Learning and the Evolution of Technology -- 2.3 The Art of Questioning in Learning -- 2.4 Questions as a Learning Tool -- 2.5 Query-Based Access to Neurons -- 3 Methodology -- 3.1 E-Learning Using QuBAN Method -- 4 Result and Discussion -- 4.1 Effectiveness Across Courses -- 4.2 Effect on Confidence and Motivation -- 4.3 Impact on Questioning Habits. ; 4.4 Student's Attitude Towards QuBAN -- 5 Conclusion -- References -- Navigating the Waters of Image Watermarking: A Neural Network-Centric Review -- 1 Introduction -- 1.1 Image Watermarking Using Neural Networks -- 1.2 Types of Neural Networks Used in State-of-the-Art Image Watermarking Techniques -- 1.3 Performance Metrics for Different Watermarking Techniques -- 2 Literature Review -- 3 Future Scope -- 4 Conclusion -- References -- Evaluation of Group Chats Using Exploratory Data Analysis -- 1 Introduction -- 2 Literature Work -- 3 Working Methodology -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Data Preparation and Cleaning -- 3.4 Analysis and Interpretation of Results -- 3.5 Data Visualization -- 4 Result and Discussion -- 5 Conclusion -- References -- FinTech Revolution in Bharat -- 1 Introduction -- 2 Evolution of FinTech -- 2.1 Pre-digitization Period -- 2.2 Digitization Period -- 2.3 Post-digitization Period -- 3 The India Stack -- 3.1 Identity Layer -- 3.2 Payments Layer -- 3.3 Data Layer -- 4 Financial Inclusion and Solutions -- 4.1 Development and Financial Inclusion -- 4.2 FinTech Solutions -- 5 FinTech Adoption and Investments -- 5.1 Trends Driving FinTech Adoption -- 5.2 FinTech Investments -- 6 Challenges in FinTech -- 6.1 Lack of Trust and Awareness -- 6.2 Formal Credit -- 6.3 Rigorous Regulatory System -- 6.4 Skill-Based Talent Acquisition -- 6.5 Cybersecurity -- 6.6 Global Economics and Recession -- 7 Conclusion -- References -- A Review of 3D Avatar Reconstruction for Virtual Conferencing -- 1 Introduction -- 2 Problem Background -- 3 3D Reconstruction -- 4 3D Avatar -- 4.1 Classification of 3D Avatars -- 4.2 Application of 3D Avatar in Virtual Conference -- 5 3D Avatar Reconstruction -- 5.1 Traditional Reconstruction Pipeline -- 5.2 Reconstruction Based on Deep Learning -- 6 Conclusion -- References. ; Real-Time Food Simulation Using Real Hand Gesture for Malaysia Cultural Heritage -- 1 Introduction -- 2 Designing Hand Gestures -- 3 Proposed VR Pulut Panggang -- 3.1 Test Application -- 4 Conclusion -- References -- Feature Selection Using Chi-Squared Feature-Class Association Model for Fake Profile Detection in Online Social Networks -- 1 Introduction -- 2 Related Works -- 3 Feature Extraction -- 4 Proposed Chi-Squared Feature-Class Association Model -- 5 Result and Analysis -- 5.1 Dataset and Description -- 5.2 Evaluation Metrics -- 6 Results -- 7 Conclusion -- References -- Classification and Identification of Weeds Using Gradient Boosting Classifiers -- 1 Introduction -- 2 Related Work -- 3 Convolutional Neural Network -- 3.1 Convolutional Layers -- 3.2 Pooling Layers -- 3.3 Global Average Pooling Layer -- 3.4 Fully Connected Layers -- 4 Boosting Algorithms -- 4.1 Gbm -- 4.2 Lgbm -- 4.3 CatBoost -- 4.4 AdaBoost -- 4.5 XGBoost -- 5 Dataset -- 6 Methodology -- 7 Experimental Results -- 7.1 Assessment Metrics -- 8 Results and Discussion -- 8.1 Comparison with Other Studies -- 8.2 Limitations and Complexity of Proposed Model -- 9 Conclusion -- References -- Enhancing Accuracy and Efficiency in Diabetic Retinopathy Detection: A Deep Learning Framework for Fundus Image Analysis -- 1 Introduction -- 2 Methodology of the Proposed System -- 3 Various Machine Learning Algorithm -- 4 Result and Discussion -- 5 Conclusion -- References -- Enhancing Brain MRI Tumor Detection: Exploring Vision Transformers and Fine-Tuned Convolutional Neural Network Architecture for Improved Performance -- 1 Introduction -- 1.1 Convolution Neural Networks -- 1.2 Vision Transformers -- 2 Dataset Analysis -- 3 Methodology -- 3.1 Convolution Neural Networks -- 3.2 Proposed Model (Vision Transformers) -- 4 Experimental Results -- 5 Conclusion -- References. ; Bitcoin Price Prediction Using Sentiment Analysis.
• Sommario/riassunto: This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2023), which is organized by Indira Gandhi National Tribal University, Regional Campus Manipur (IGNTU-RCM), during December 8–9, 2023. It discusses emerging topics pertaining to advanced computing, intelligent technologies and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers an asset for researchers from both academia and industries involved in advanced studies.
• Titolo autorizzato: Advanced computing and intelligent technologies
• ISBN: 981-9719-61-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910865284603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 958