Recent Trends in Image Processing and Pattern Recognition
Springer International Publishing (Verlag)
978-3-031-53081-4 (ISBN)
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.
| Erscheinungsdatum | 31.01.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XX, 405 p. 154 illus., 119 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 652 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | Artificial Intelligence • Classification methods • Computer Security • computer vision • Correlation Analysis • cryptography • Databases • Deep learning • document management and text processing • Image Analysis • Image Processing • image reconstruction • Information Retrieval • Knowledge Representation and Reasoning • machine learning • Natural Language Processing (NLP) • Neural networks • pattern recognition |
| ISBN-10 | 3-031-53081-0 / 3031530810 |
| ISBN-13 | 978-3-031-53081-4 / 9783031530814 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
