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Advancements in Machine Learning: First International Conference, ICCAML 2024, Pune, India, February 2829, 2024, and Second International Conference, ICCAML 2025, Pune, India, February 25-26, 2025, Proceedings [Pehme köide]

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  • Formaat: Paperback / softback, 241 pages, kõrgus x laius: 235x155 mm, 111 Illustrations, black and white; IX, 241 p. 111 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2538
  • Ilmumisaeg: 20-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031981375
  • ISBN-13: 9783031981371
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Advancements in Machine Learning: First International Conference, ICCAML 2024, Pune, India, February 2829, 2024, and Second International Conference, ICCAML 2025, Pune, India, February 25-26, 2025, ProceedingsSuurem pilt
  • Formaat: Paperback / softback, 241 pages, kõrgus x laius: 235x155 mm, 111 Illustrations, black and white; IX, 241 p. 111 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2538
  • Ilmumisaeg: 20-Aug-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031981375
  • ISBN-13: 9783031981371
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031981371.html
This CCIS 2538 volume constitutes the proceedings of First and Second International Conference on Advancements in Machine Learning, ICCAML 2024, in Pune, India, during February 2829, 2024.



The 19 full papers are carefully reviewed and selected from 173 submissions. They were cartegorized under the topical sections as follows:



i) Modernization in Machine Learning 



ii) Machine Learning for Data Analytics and



iii) Machine Learning for automation 
Learning with Limited Data: A Machine Learning Approach for Heart
Disease Prediction.- Enhanced Agricultural Crop Monitoring Using Autonomous
Navigation Technologies.- Sandbox Based Real Time Cyber Attack Simulation and
Analysis.- Dynamic Gesture Recognition Using LSTM for Real-time Indian Sign
Language Prediction.- SpeechCraft: Modular AI Conversation System Using
Multivariate LLMs.- An Extensive Investigation of Supervised Machine Learning
(SML) Procedures aimed at Learners Performance Forecast with Learning
Analytics.- Leveraging Machine Learning Approaches for Enhanced Efficiency in
Automated Processes.- Enhanced Pedestrian Detection for Autonomous Vehicles
Using Multi-Localized Feature.- Enhancing lead score conversion rate using
logistic regression.- Artificial Intelligence in Gestational Diabetes
Mellitus.- A Comprehensive Risk Assessment Framework for Multiple Natural
Hazards using CLIMADA Model.- A Review Paper on Image Forgery Detection
Techniques.- Understanding Viewer Sentiment on Online Educational Content: An
Analysis Framework for a Video Streaming Platform using Natural Language
Processing.- Enhancing Crop Yield through Convolutional Neural Net-work (CNN)
Powered Plant Disease Detection.- A Systematic Review on Anomaly Detection
Techniques for Fog Computing Devices.- Supermarket Sales Prediction using
Linear Regression: A Case Study Approach.- Employees performance metrics
using Machine learning: A systematic literature review using Prisma Model.-
WebGPU: Comparing Parallelism Over Serial Execution in Web Graphics.- Stock
Market Prediction Technique through LSTM and NLP.