Applied Machine Learning and Data Analytics

7th International Conference, AMLDA 2024, Shamshabad, India, December 20–21, 2024, Revised Selected Papers

AvSanju Tiwari,Tasneem Bano

Häftad, Engelska, 2026

Del 2636 i serien Communications in Computer and Information Science

847 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2026-02-24
Mått:155 x 235 x 10 mm
Vikt:277 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:163
Förlag:Springer Nature Switzerland AG
ISBN:9783032182920

Utforska kategorier

Databaser inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- 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.