AI Revolution: Research, Ethics and Society
Springer International Publishing (Verlag)
978-3-032-12929-1 (ISBN)
- Noch nicht erschienen - erscheint am 22.01.2026
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This book constitutes the proceedings of the International conference on AI Revolution: Research, Ethics and Society, AIR-RES 2025, held in Las Vegas, Navada, USA, during April 14 16, 2025.
The AIR-RES Conference received 620 submissions, of which 131 papers were accepted, resulting in a paper acceptance rate of 21%.
.- ARTIFICIAL INTELLIGENCE & DATA SCIENCE.
.- Data Cube for Exploring Anomalies in Justice Delivery: An Experiment on Indian Judgements.
.- Intelligent Data Approximation for Reducing Write Energy in Multi-Level Cell PCM.
.- Maximizing ROI in Supply Chain Forecasting: A Data-Driven Deep Learning Approach for Enhanced Accuracy and Efficiency.
.- Assessing the Efficacy of DinoV2-Based Embeddings in Clustering Visual Data from C2C Marketplaces.
.- Industrial Safety Compliance using Custom Open-Source Dataset and YOLOv11.
.- Traceable and Revokable Attributes-Based Verifiable Searchable Authentication Scheme for Blockchain Data Sharing.
.- Application of Deep Learning Model for Enhancing Medical Image Classification using Non-local Means Filtering, Contrast-limited Adaptive Histogram Equalization and Data Augmentation.
.- Development of Learning Data Dictionary for Artificial Intelligence Digital Textbooks.
.- A Family-based Online Database System.
.- AI Leveraging Data Modeling for Efficient Travel Management.
.- ARTIFICIAL INTELLIGENCE: SECURITY METHODOLOGIES AND RELATED ISSUES.
.- New Proposal for Homomorphic AI.
.- Maha: Security Protocols on Fog Network.
.- A Dynamic Hybrid IDS for APT Detection in SCADA using Deep Neural Networks.
| Erscheint lt. Verlag | 22.1.2026 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XV, 514 p. 184 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | AI applications • AI bias • AI ethics • Artificial Intelligence • Deep learning • keyword 1 • keyword 2 • keyword 3 • keyword 4 • keyword 5 • LLMS • machine learning • Neural networks • prediction methods • Software Tools |
| ISBN-10 | 3-032-12929-X / 303212929X |
| ISBN-13 | 978-3-032-12929-1 / 9783032129291 |
| Zustand | Neuware |
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