Recent Trends in Image Processing and Pattern Recognition : 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part I

• Autore: Santosh K. C
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (421 pages)
• Altri autori: MakkarAaisha ConwayMyra SinghAshutosh K VacavantAntoine Abou el KalamAnas BougueliaMohamed-Rafik HegadiRavindra
• Nota di contenuto: Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Artificial Intelligence and Applied Machine Learning -- Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Details -- 2.2 Data Preprocessing -- 2.3 Performance Evaluation Metrics -- 2.4 Methods Used -- 2.5 Feature Importance -- 3 Results -- 3.1 Result of Exploratory Data Analysis (EDA) -- 3.2 Result of Machine Learning Analysis -- 4 Discussion -- References -- Fake News Detection Using Transfer Learning -- 1 Introduction -- 2 Problem Statement -- 3 Methodology -- 3.1 ULMFiT (Universal Language Model Fine-tuning) -- 4 Experimental Setup -- 4.1 Fake News Dataset Pre-processing -- 5 Results -- 6 Conclusion -- References -- Deep Learning Envisioned Accident Detection System -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Phase 1 - Vehicle Detection -- 3.2 Phase 2 - Vehicle Tracking -- 3.3 Phase 3 - Accident Classification -- 4 Results -- 4.1 AUC-ROC Analysis -- 5 Conclusion -- References -- Revolutionizing Drug Discovery: Unleashing AI's Potential in Pharmaceutical Innovation -- 1 Introduction -- 2 Overview of Technology -- 3 Enabling Technology -- 3.1 AI in Drug Design (DD) -- 3.2 AI in Poly-Pharmacology (PP) -- 3.3 AI in Drug Repurposing (DR) -- 3.4 AI in Drug Screening (DS) -- 4 Result -- 5 Limitation -- 6 Conclusion and Future Scope -- References -- Empathy-Driven Chatbots for the Arabic Language: A Transformer Based Approach -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Data Collecting and Translating -- 3.2 Data Cleaning and Processing -- 3.3 Word-Vector Dictionary (Embedding Matrix) -- 3.4 Model Evaluation -- 4 Experiments -- 4.1 Hyperparameters -- 4.2 Experimental Environment -- 4.3 Pre-training -- 4.4 Fine-Tuning -- 5 Discussion. ; 6 Conclusion -- References -- Image Classification Using Federated Learning -- 1 Introduction -- 2 Review of Literature -- 3 Proposed Methods -- 3.1 Objective -- 4 Proposed Dataset -- 5 Experimental Set and Result Analysis -- 5.1 Implementation Detail -- 5.2 Result Analysis -- 6 Conclusion -- References -- Preserving Accuracy in Federated Learning via Equitable Model and Efficient Aggregation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data -- 3.2 Creating Decentralized Datasets -- 3.3 Structure of Neural Networks -- 3.4 Aggregation Model -- 3.5 Equitably Updating the Clients -- 3.6 Comparator Algorithm -- 4 Experimental Evaluations -- 4.1 IID Partitioning and Evaluation -- 4.2 Non-IID Partitioning and Evaluation -- 4.3 Applying Equitable Model -- 5 Conclusion -- References -- Fake News Investigation Using Ensemble Machine Learning Techniques -- 1 Introduction -- 1.1 Novelty -- 1.2 Motivation -- 1.3 Background Knowledge -- 2 Proposed Methodology -- 2.1 Problem Statement Modelling and Research Contributions -- 2.2 Methodology -- 2.3 Logistic Regression -- 2.4 Decision Tree Classification -- 2.5 Random Forest Classification -- 2.6 Gradient Boost Classification -- 3 Experimental Setup and Result Analysis -- 3.1 Dataset Discription -- 3.2 Pre-processing -- 3.3 Results -- 3.4 Conclusion -- 3.5 Future Scope -- References -- Deep Learning Based Bug Detection in Solidity Smart Contracts -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Bug Injection Technique -- 3.2 Data Pre-processing Pipeline -- 3.3 Network Architecture -- 4 Results -- 5 Conclusion -- References -- Comparative Analysis of CNN Pre-trained Model for Stock Market Trend Prediction -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Model Architecture -- 3.2 CNN Architecture -- 3.3 Labeling of Stock's Close-Price -- 3.4 Image Generation. ; 4 Results -- 4.1 Dataset and Evaluation Criterion -- 4.2 Experimentation with Different Pretrained Model -- 5 Conclusion -- References -- Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users -- 1 Introduction -- 1.1 Related Work -- 1.2 Motivation and Contribution -- 1.3 Organization -- 2 System Model and Problem Formulation -- 2.1 System Model -- 2.2 Channel Model -- 2.3 Energy Efficiency Evaluation -- 2.4 Problem Formulation -- 3 Proposed Scheme -- 3.1 Markov Decision Process Model -- 3.2 Environment -- 3.3 Agent -- 3.4 State Space -- 3.5 Action Space -- 3.6 Reward -- 4 Performance Evaluation -- 4.1 Simulation Parameters -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Deep Reinforcement Learning Based Intelligent Resource Allocation Techniques with Applications to Cloud Computing -- 1 Introduction -- 2 Related Work -- 3 Conclusion -- References -- A Review on Machine Learning Techniques in IoT-Based Smart Grid Applications -- 1 Introduction -- 2 Applications of Machine Learning in Modern Power Grids -- 3 Cyber Security in Modern Power Grids -- 4 Findings -- 5 Discussion -- 6 Conclusion -- References -- Transformation of Corporate Social Responsibility Practices: Adapting Artificial Intelligence and Internet of Things -- 1 Introduction -- 2 Overview of Adaptation of AI and IoT in CSR -- 3 Enabling Technologies -- 3.1 Artificial Intelligence (AI) -- 3.2 Internet of Things (IoT) -- 3.3 Blockchain -- 4 Array of Challenges Using AI and IoT in Transformation CSR -- 5 Recommendations -- 6 Conclusion -- References -- Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Hypothesis -- 1.3 Objective and Contribution -- 2 Problem Statement -- 3 Literature Review -- 4 Proposed Methodology. ; 4.1 Dataset Description -- 4.2 Processing -- 4.3 Approaches Used -- 5 Results -- 6 Conclusion -- 7 Future Work -- References -- Applied Image Processing and Pattern Recognition -- Potato Leaf Disease Classification Using Federated Learning -- 1 Introduction -- 2 Related Work -- 3 Federated Learning (FL) -- 4 Dataset -- 5 Experiment Results -- 6 Conclusion and Discussion -- References -- Sugarcane Bud Detection Using YOLOv5 -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Methods -- 3.2 YOLOv5 Architecture -- 4 Results -- 5 Conclusion -- 5.1 Future Works -- References -- ELA-Conv: Forgery Detection in Digital Images Based on ELA and CNN -- 1 Introduction -- 1.1 Active Approaches -- 1.2 Passive Approaches -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Image Preprocessing -- 3.2 Error Level Analysis -- 3.3 CNN Architectures -- 3.4 Dataset Description -- 3.5 Proposed System -- 3.6 Model Training -- 4 Results and Discussion -- 4.1 Evaluation Metrics -- 4.2 Results -- 5 Conclusion and Future Scope -- References -- Leveraging Wavelets and Deep CNN for Sleep Pattern Recognition in Road Safety: An EEG Study -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Data Preprocessing -- 2.3 Continuous Wavelet Transform -- 2.4 Dataset Generation -- 2.5 Data Preparation and Transfer Learning -- 2.6 Performance Assessment Metrics -- 3 Results and Discussion -- 4 Conclusions -- References -- Recognition and Transcription of Archaic Handwritten Modi Script Document: A Thought-Provoking Crucial Research Area -- 1 Introduction -- 2 Modi Script Datasets -- 3 Modi Script Document Preprocessing Methodologies -- 3.1 Degradation Detection and Removal -- 3.2 Skew Detection and Correction -- 4 Modi Script Document Segmentation Methodologies -- 4.1 Text Line Segmentation -- 4.2 Character Segmentation. ; 5 Modi Script Alphabet Recognition Methodologies -- 6 Future Directions -- 7 Conclusion -- References -- An Arabic Chatbot Leveraging Encoder-Decoder Architecture Enhanced with BERT -- 1 Introduction -- 2 Related Works -- 2.1 English Chatbots -- 2.2 Arabic Chatbot -- 3 Proposed Model -- 3.1 Data Collection and Preprocessing -- 3.2 Proposed Model -- 4 Experiments Results -- 5 Conclusion -- References -- FNMD: An Evaluation of Machine Learning and Deep Learning Techniques for Fake News Detection -- 1 Introduction -- 2 Literature -- 3 Research Methodology -- 3.1 Data Set -- 3.2 The Implementation Process -- 4 Experimental Results and Discussion -- 4.1 Input Features -- 4.2 Analysis of Results -- 4.3 Discussion -- 5 Implications -- 6 Limitations -- 7 Conclusions and Future Work -- References -- Enhancing Robotic Systems for Revolutionizing Healthcare Using Markov Decision Processes -- 1 Introduction -- 2 Recent Related Work -- 2.1 Reinforcement Learning for Healthcare Robotics -- 2.2 Application of MDPs in Specific Healthcare Domains -- 2.3 Human-Robot Collaboration Using MDPs -- 2.4 Incorporation of Uncertainty Modeling Techniques -- 2.5 Ethical Considerations in Healthcare Robotics and MDPs -- 3 MDPs and Their Variants -- 3.1 Completely Observable MDP (COMDP) -- 3.2 Partially Observable MDP -- 4 COMDP in Robotics -- 5 POMDP in Robotics -- 6 Human-Robot Interaction -- 6.1 Types of Interaction -- 6.2 Understanding Human Intentions Using MDPs -- 7 Ethical and Privacy Considerations in Healthcare Robotics -- 8 Conclusion -- References -- Optimizing Drone Navigation Using Shortest Path Algorithms -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Haversine Method -- 3.2 Dijkstra's Algorithm -- 3.3 Travelling Salesman Problem Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References. ; Trees Detection from Aerial Images Using the YOLOv5 Family.
• Titolo autorizzato: Recent Trends in Image Processing and Pattern Recognition
• ISBN: 3-031-53082-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910831003403321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science Series