Computing and Machine Learning : Proceedings of CML 2024, Volume 3 / edited by Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi.

Format:

Book

Author/Creator:

Bansal, Jagdish Chand.

Contributor:

Borah, Samarjeet.

Hussain, Shahid.

Salhi, Said.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 856

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Image processing--Digital techniques.

Image processing.

Computer vision.

Natural language processing (Computer science).

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Natural Language Processing (NLP).

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Natural Language Processing (NLP).

Physical Description:

1 online resource (485 pages)

Edition:

1st ed. 2024.

Place of Publication:

New York : Springer Dec. 2024

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India during April 29–30, 2024. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, internet of things, human-robot interaction, ethical and social implications of AI, applications in healthcare, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing and mobile computing.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Bansal, Jagdish Chand Computing and Machine Learning

ISBN:

9789819775712

OCLC:

1482237135