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Full Description
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 28-29, 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
Contents
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.
