Machine Learning for Social Transformation : Proceedings of EAIT 2024 / edited by Jyotsna Kumar Mandal, Debashis De.

Format:

Book

Author/Creator:

Mandal, Jyotsna Kumar.

Contributor:

De, Debashis.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1131

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Machine learning.

Technology--Sociological aspects.

Technology.

Information technology.

Computational Intelligence.

Artificial Intelligence.

Machine Learning.

Information and Communication Technologies (ICT).

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Machine Learning.

Information and Communication Technologies (ICT).

Physical Description:

1 online resource (566 pages)

Edition:

1st ed. 2024.

Place of Publication:

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

Summary:

The book includes original unpublished contributions presented at the Eighth International Conference on Emerging Applications of Information Technology (EAIT 2024), organized by Computer Society of India, Kolkata Chapter during 12 – 13 January 2024. The Theme of the conference is “Machine Learning for Social Transformation”. The book covers the topics such as computational intelligence for social transformation, machine learning for healthcare informatics, and machine learning for agriculture and environmental sustainability.

Contents:

Credibility Detection Utilizing Fuzzy Weight Strategy

Image Caption Generation using Neural Networks

The development of unsupervised Seq2Seq based LSTM Network algorithm for forecasting infectious disease

Isolated Word Recognition and Feature Extraction Using Machine Learning

Bladder Segmentation in MRI for High Dose Rate Brachytherapy Using Deep Network

Central Bank Digital Currency: Policy Implications through Polarity and Sentiment Analysis

Advanced Aerial Object Detection using Enhanced YOLOv3 with Leaky ReLU and Dilated Convolutions

From Field to Cloud: IoT and Machine Learning Innovations in High-Throughput Phenotyping

Catching Lies in the Act : Early Misinformation Detection using Linguistic Cues and Contextual Information

DNA Sequencing-induced Cancer Detection: A Representation Learning-inspired Sustainable Transformation in Internet of Healthcare

Prediction And Analysis of Rare Symptoms Using Association Rule Mining in Health Care Data Without Tree Generation

Unraveling the Molecular Landscape of Myasthenia Gravis(MG): A Principal Component Analysis (PCA) of Gene Expression Dataset

Unlocking the Potential of Machine Learning and Deep Learning for Screening of Geriatric Depression

IoMT-based Point-of-Care Testing for PCOS Diagnosis using Dempster Shafer Theory of Evidence

Analysis of Breast cancer classification using deep CNN with adaptive learning rate

Detecting Schizophrenia Patients Using Deep Learning Models

Application of Neural Network for Reducing Emission and Optimizing performance of Hydrogen with Biofuel CI Engine

Water Distribution Network Using IoT Sensors for Residential Areas from Household Rainwater

A Sustainable, Paperless Environment Using Machine Learning in Hospitals and Medical Sectors

Deep Feature Learning for Detecting Water Pollution from Industrial Waste

Multi-Linear Regression Model for Water Prediction and Monitoring in North Twenty-Four Parganas, India

Machine Learning Based Water Need Estimation for Smart Irrigation System

Best Defense Practices Against Web Server Attacks By Using and Evaluating NSM Tools.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9789819775323

9819775329

OCLC:

1485004895