Tiwari / Bano / Jabbar Applied Machine Learning and Data Analytics

7th International Conference, AMLDA 2024, Shamshabad, India, December 20–21, 2024, Revised Selected Papers
Erscheinungsjahr 2026
ISBN: 978-3-032-18293-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 163 Seiten

Reihe: Communications in Computer and Information Science

This book constitutes the revised selected papers of the 7th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2024, held in Shamshabad, India, during December 20–21, 2024.

The 10 full papers and 1 short paper included in this volume were carefully reviewed and selected from 44 submissions. They focus on cutting-edge research across all aspects of machine learning, as well as in important application areas such as healthcare and medical imaging informatics, biometrics, forensics, precision agriculture, risk management, robotics, and satellite imaging.

Zielgruppe

Research

Autoren/Hrsg.

Tiwari, Sanju

Bano, Tasneem

Jabbar, M. A.

Ortiz-Rodriguez, Fernando

Jiomekong, Azanzi

Inhaltsverzeichnis

.- Analyzing COVID-19 Discourse on Twitter in  Argentina: Trends, Sentiments, and Key Themes.

.- A Comprehensive Study of Pre-trained Deep  Learning Models in Skin Disease Classification.

.- A Comprehensive Study of Pre-trained Deep  Learning Models in Skin Disease Classification.

.- Employing Capsule Neural Networks for the  Detection of Alzheimer’s Disease.

.- Transforming the Financial Sector with Advanced Machine Learning Algorithms: Applications, Challenges, and Future Prospects.

.- Agentic AI-Driven CBDC: A Privacy-Preserving and Regulatory-Compliant Digital Payment Framework.

.- Assessing the impact of Images and videos in digital  marketing which affect the customer buying behavior.

.- Enhancing Blockchain Scalability for IoT Transactions Using ZK-Rollups: A Secure and Efficient Off-Chain  Solution.

.- Face Anti-spoofing Approach using Randomized Gamma Correction based Data Augmentation Technique.

.- Optimizing Privacy Protection in Online Healthcare Using Markov Decision Processes and Differential Privacy.

.- Enhanced Network Fault Diagnosis using t-SNE with FTA and  Complexity Reduction applying  Rough Set Theory.