Buch, Englisch, 405 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 645 g
6th International Conference, RTIP2R 2023, Derby, UK, December 7-8, 2023, Revised Selected Papers, Part I
Buch, Englisch, 405 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 645 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-53081-4
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.
