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

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Recent Trends in Image Processing and Pattern Recognition: 6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part ISuurem pilt
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This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota.

The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections:

Volume I:

Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications.

Volume II:

Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.
Artificial Intelligence and Applied Machine Learning.- Building a Heroin
Abuse Prediction Model: A Generalized Machine Learning Approach.- Fake News
Detection Using Transfer Learning.- Deep Learning Envisioned Accident
Detection System.- Revolutionizing Drug Discovery: Unleashing AI's Potential
in Pharmaceutical Innovation.- Empathy-Driven Chatbots for the Arabic
Language: A Transformer Based Approach.- Image Classification Using Federated
Learning.- Preserving Accuracy in Federated Learning via Equitable Model and
Efficient Aggregation.- Fake News Investigation Using Ensemble Machine
Learning Techniques.- Deep Learning Based Bug Detection in Solidity Smart
Contracts.- Comparative Analysis of CNN Pre-trained Model for Stock Market
Trend Prediction.- Deep Reinforcement Learning Based Energy-Efficient Design
for STAR-IRS Assisted V2V Users.- Deep Reinforcement Learning Based
Intelligent Resource Allocation Techniques with Applications to Cloud
Computing.- A Review on Machine Learning Techniques in IoT-based Smart Grid
Applications.- Transformation Of Corporate Social Responsibility Practices:
Adapting Artificial Intelligence and Internet of Things.- Various Active
Learning Strategies Analysis in Image Labeling: Maximizing Performance with
Minimum Labeled Data.- Applied Image Processing and Pattern
Recognition.- Potato Leaf Disease Classification Using Federated
Learning.- Sugarcane Bud Detection using YOLOv5.- ELA-Conv: Forgery Detection
in Digital Images Based on ELA and CNN.- Leveraging Wavelets and Deep CNN for
Sleep Pattern Recognition in Road Safety: An EEG Study.- Recognition and
Transcription of Archaic Handwritten Modi Script Document: A
Thought-provoking Crucial Research Area.- An Arabic Chatbot Leveraging
Encoder-Decoder Architecture Enhanced with BERT.- FNMD: An Evaluation of
Machine learning and Deep learning Techniques for Fake
NewsDetection.- Enhancing Robotic Systems for Revolutionizing Healthcare
using Markov Decision Processes.- Optimizing Drone Navigation using Shortest
Path Algorithms.- Trees Detection from Aerial Images using the YOLOv5
Family.- A Study on Automatic Detection, Length and Mass Estimation of Fishes
in Aqua Farming Environment.- Comparative Analysis of Various Transfer
Learning Approaches In Deep CNNs for Image Classification.- Biometrics and
Applications.- Iris Recognition System in the Context of
Authentication.- Deep Learning for Biometric Attack Detection and
Recognition.- A Novel Biometric Authentication based on Blockchain and
Watermarking.- Hybrid Transfer Learning Approach for Emotion Analysis of
Occluded Facial Expressions.
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