10870nam 22004693 450 991088289840332120240825090328.09789819747276(electronic bk.)9789819747269(MiAaPQ)EBC31611825(Au-PeEL)EBL31611825(CKB)34168615400041(EXLCZ)993416861540004120240825d2024 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Computational Intelligence and Informatics Proceedings of ICACII 20231st ed.Singapore :Springer,2024.©2024.1 online resource (430 pages)Lecture Notes in Networks and Systems Series ;v.993Print version: Chillarige, Raghavendra Rao Advances in Computational Intelligence and Informatics Singapore : Springer,c2024 9789819747269 Intro -- ICACII2023 Committee -- Foreword -- Preface -- Contents -- Editors and Contributors -- Optimizing Complex Challenges: Harnessing the Power of Genetic Algorithms and the Nelder-Mead Simplex Algorithm for Effective Problem Solving -- 1 Introduction -- 2 Overview of GA and NMA -- 2.1 Genetic Algorithm -- 2.2 Nelder-Mead Algorithm -- 3 Hybrid Genetic Algorithm with Nelder-Mead Simplex Algorithm (HGANM) -- 4 Benchmark Functions -- 4.1 Experimental Configuration -- 4.2 Result and Analysis -- 5 Real-Life Problems -- 5.1 Experimental Setup -- 5.2 Analysis and Outcome -- 6 Conclusion -- References -- State-of-the-Art Techniques and Evaluation Criteria for Mobile Application Offloading in Heterogeneous Networks: A Comprehensive Survey of Computation, Data, and Energy Offloading Approaches -- 1 Introduction -- 2 Background -- 2.1 Offloading Techniques -- 2.2 Literature Survey -- 2.3 Current Gaps in Research and Opportunities for Future Work -- 3 Conclusion -- References -- IDSSA: An Intrusion Detection System with Self-adaptive Capabilities for Strengthening the IoT Network Security -- 1 Introduction -- 1.1 Objectives of the Research -- 2 Related Works -- 3 Proposed System -- 3.1 NSL-KDD Dataset -- 3.2 Preprocessing -- 3.3 DNS and EAT -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References -- Privacy and Security Aspects of Indian Population While Using Online Social Network: An Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Analysis -- 5 Conclusion -- References -- Digital HR Strategy in the Modern Business Environment of Ukraine in Conditions of Uncertainty -- 1 Introduction -- 2 Literature Review -- 3 Methodological Approach -- 4 Conducting the Research and the Results -- 5 Conclusion and Discussion -- References.A Model for Quality Management in Industrial Products Based on Machine Learning and Image Processing Techniques -- 1 Introduction -- 2 Related Work -- 3 Our Work -- 3.1 Proposed Algorithm -- 3.2 Working Process -- 4 Conclusion -- References -- An Extensive Study on Financial Fraud Detection Using Artificial Intelligence-Based Models -- 1 Introduction -- 1.1 Overview to Big Data -- 1.2 Digital Banking -- 2 Data -- 2.1 Data Collection -- 2.2 Data Organization -- 2.3 Data Modality -- 3 Types of Financial Fraud -- 4 Financial Crime Compliance Risk -- 4.1 Identity Theft -- 4.2 Financial Declaration Fraud and Insurance Fraud -- 4.3 Anti-Money Laundering -- 4.4 Trafficking and Sanctions -- 5 Financial Fraud Finding Challenges and Future Instructions -- 5.1 Futures of Digital Banking -- 6 Conclusion -- References -- Exploring the State of the Art in Mobile Agent Computing: A Comparative Study of Adaptive Fault Tolerance, Security, Transaction, and Multicore Support -- 1 Introduction -- 2 Recent Techniques of Mobile Agent Computing -- 2.1 Lightweight Agent Platforms -- 2.2 Agent Migration Strategies -- 2.3 Context-Awareness -- 2.4 Security and Trust Management -- 2.5 Fault Tolerance and Resilience -- 2.6 Energy Efficiency -- 2.7 Machine Learning Integration -- 3 Comparative Table for Adaptive Fault Tolerant in the State of Art of Mobile Agent Computing: Security, Fault Tolerance, Transaction, and Multicore Support -- 4 Development of Mobile Agent Computing -- 4.1 Early Research -- 4.2 Platform Development -- 4.3 Agent Migration Strategies -- 4.4 Security and Trust Management -- 4.5 Application Development -- 4.6 Standardization Efforts -- 4.7 Performance Optimization -- 4.8 Context-Awareness and Intelligence -- 4.9 Mobile Agent Middleware -- 5 Conclusion -- References.Leveraging Bidirectional Encoder Representations from Transformers (BERT) for Enhanced Sentiment Analysis -- 1 Introduction -- 2 Problem Statement -- 2.1 Exploring BERT-Driven Models Across Various Domains -- 3 BERT Architecture -- 4 Applications of BERT Techniques -- 5 Significance of BERT for Sentiment Analysis -- 6 Methodology for BERT in Sentiment Analysis -- 7 Conclusion -- References -- Securing the Future of Connected Cars: Investigating Vulnerabilities and Preventing Cyberattacks -- 1 Introduction -- 2 Literature Review -- 3 Types of Attacks -- 3.1 Malware Attacks -- 3.2 Wireless Attacks -- 4 Methods of Detecting and Preventing Attacks -- 5 Future Directions in Connected Car Security -- 6 Conclusion -- References -- Smart Surveillance Using OpenCV -- 1 Introduction -- 1.1 Objective -- 2 Related Work -- 2.1 A Hybrid Algorithm for Tracking and Counting Many Persons in Smart Surveillance -- 2.2 Performance Evaluation of the Intelligent Traffic Surveillance System's Object Detection Algorithm -- 2.3 Crowd Counting and Detection of Normal/Abnormal Events Using Multi-Person Tracking in a Smart Surveillance System -- 2.4 Raspberry Pi-Based IoT-Based Smart Surveillance and Security System -- 2.5 Intelligent Video Security Surveillance with Mobile Remote Control -- 3 Proposed Method -- 3.1 Structural Similarity Index Metric (SSIM) -- 3.2 Detecting Faces in the Frames -- 3.3 Look for Background Noise -- 3.4 Local Binary Pattern Histogram (LBPH) -- 4 Experimental Results -- 4.1 Feature 1-Monitor -- 4.2 Feature 2-Action Detection -- 4.3 Feature 3-Rectangle -- 4.4 Feature 4-Record -- 4.5 Feature 5-Identify -- 4.6 Feature 6-In and Out -- 5 Conclusion -- References -- Hyperspectral Band Selection Considering Spectral and Spatial Information -- 1 Introduction -- 2 Problem Statement -- 3 Scope and Objectives -- 4 Literature Survey -- 5 Proposed System.5.1 System Specifications -- 5.2 Block Diagram -- 5.3 Methodology -- 6 Experimental Setup and Results -- 6.1 Results -- 7 Summary and Future Scope -- References -- Water Pumping Requirement Prediction in Irrigation System Using Internet of Things-Assisted Machine Intelligence-Based Approach -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Hybrid Method for Discovering DDOS Attack -- 1 Introduction -- 2 Objectives -- 3 Scope -- 4 Methodology -- 5 System Architecture -- 5.1 Algorithms -- 5.2 Data Set -- 5.3 Data Preprocessing -- 5.4 Results -- 6 Conclusions -- References -- A Novel Chaotic Map-Based Noise-Resistant Image Encryption Scheme for Medical Images -- 1 Introduction -- 2 Proposed Method -- 2.1 Encryption -- 3 Simulation Results -- 3.1 Encryption Efficiency Analysis -- 4 Conclusion -- References -- Survey of Attacks, Detection Techniques, and Evaluation Metrics in Wireless Sensor Networks -- 1 Introduction -- 1.1 Overview of Wireless Sensor Networks -- 2 Key Characteristics and Challenges -- 3 The Importance of Security in WSN -- 4 Different Protocols Used in WSN -- 5 Literature Review of Layerwise Attacks in WSN -- 6 Detection and Evaluation Metrics -- 7 Conclusion -- References -- Big Data's Ethical Frontier: Addressing Concerns in Data Acquisition and Analysis -- 1 Introduction -- 2 Ethical Challenges in Big Data -- 3 Cambridge Analytica Scandal -- 4 Aadhaar Data Leak -- 4.1 Ethical Concerns in Data Analysis and Regulatory Framework -- 5 Conclusion -- References -- Evaluating Security Risks and Protecting Conversational AI: An in-Depth Vulnerability Assessment and Security Testing of the ChatGPT Android Application -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion -- References -- Neural Networks and GPU-Based Weed Detection Under Varying Light Illumination -- 1 Introduction.2 Proposed System -- 2.1 Dataset and Process Flow -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 2.4 Methodology Used -- 2.5 Faster RCNN Algorithm -- 2.6 CNN Implementation Algorithm -- 3 Conclusion -- References -- Intelligent ECG-Based COVID-19 Diagnose Device Using CNN Deep Learning Approaches -- 1 Introduction -- 2 Literature Review -- 3 Techniques -- 3.1 Document Search -- 3.2 Search Methods -- 3.3 Restrictions -- 3.4 Presence in the Review Publication -- 4 Deep Convolution Transfer Learning via Neural Networks -- 4.1 Methodology -- 4.2 Different Abnormalities in ECG Images -- 5 Implementation -- 6 Conclusion -- References -- Analyzing Twitter Data Using Apache Hive-A Big Data Technology Exploration -- 1 Introduction -- 2 Big Data and Twitter Data Analysis -- 3 Experimental Setup -- 4 Conclusion -- References -- Detection of Phishing Websites Using Link Guard Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement -- 4 Objectives -- 5 Existing Work -- 6 Proposed Work -- 6.1 Program Code -- 7 Methodology -- 8 Result -- 9 Conclusion -- References -- Forecasting Financial Commodities Using an Evolutionary Optimized Higher-Order Artificial Neural Network -- 1 Introduction -- 2 Method and Materials -- 2.1 Firefly Algorithm -- 2.2 Nelder-Mead Simplex Algorithm -- 2.3 Improved FFA -- 2.4 Pi-Sigma Neural Network -- 2.5 IFFA-PSNN Forecasting Model Training -- 3 Experimental Setup and Datasets -- 4 Results and Discussion -- 5 Conclusions -- References -- Plant Leaf Disease Classification Using GAN -- 1 Introduction -- 2 Problem Statement -- 3 Scope and Objectives -- 4 Literature Survey -- 4.1 Generative Adversarial Networks -- 4.2 VGG16 -- 4.3 Data Augmentation -- 4.4 Deep Learning -- 4.5 Data Preprocessing -- 5 Proposed System -- 5.1 System Specifications -- 5.2 Methodology -- 6 Functional Modules -- 7 Pseudocode.8 Experimental Setup and Results.Lecture Notes in Networks and Systems SeriesChillarige Raghavendra Rao1766049Distefano Salvatore1766050Rawat Sandeep Singh1766051MiAaPQMiAaPQMiAaPQ9910882898403321Advances in Computational Intelligence and Informatics4209766UNINA