Computing and Machine Learning

Computing and Machine Learning

Proceedings of CML 2024, Volume 3

Hussain, Shahid; Borah, Samarjeet; Salhi, Said; Bansal, Jagdish Chand

Springer Verlag, Singapore

01/2025

484

Mole

9789819775484

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Scaling Insights: Unleashing the Power of Scalable Clustering Indices for Big Data Exploration.- Prediction of Chronic Respiratory Diseases using Machine Learning Algorithms.- Experimental Evaluation of Scalable Database Architectures for High-Performance Applications.- Multi-class Semantic Segmentation: a Deep Supervised Approach For Brain Tumor Detection Using 3D U-Net++ Architecture.- DeepSeg: A Decision Support System for Enhanced Segmentation of Human Tissue Image.- Transcription-Based on Pitches an Ontology for the System Knowledge Representation.- A Deep Learning Framework for Paddy and Maize leaf Disease Detection.- An Accurate People Counting System Based on Object Detection and Tracking.- Structural and Functional Features of The Synthetic Benchmark.- Lacunarity-Based Characterization of Hyperspectral Spatial Patterns U-Net Segmentation and Lacunarity for Enhanced Analysis of Hyperspectral Imagery.- Detection of Buried Ieds Using Convolutional Neural Networks on Ground Images from Thermal Cameras Embarked on UAVs.- Smart Decision-Making in The Green Economy: A Fuzzy Logic Approach.- An Integrated Scalable Healthcare Management System Using IOT.
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Deep Learning;Big Data Analytics;Natural Language Processing;Cognitive Computing;Artificial Intelligence;Intelligent Systems and Soft Computing;Proceedings of CML 2024