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E-raamat: Applied Machine Learning and Data Analytics: 7th International Conference, AMLDA 2024, Shamshabad, India, December 20-21, 2024, Revised Selected Papers

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Applied Machine Learning and Data Analytics: 7th International Conference, AMLDA 2024, Shamshabad, India, December 20-21, 2024, Revised Selected PapersSuurem pilt
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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 2021, 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.
.- 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 Alzheimers
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.
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