Proceedings of World Conference on Artificial Intelligence: Advances and Applications
WCAIAA 2023
Series: Algorithms for Intelligent Systems;
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Product details:
- Edition number 1st ed. 2023
- Publisher Springer Nature Singapore
- Date of Publication 2 November 2023
- Number of Volumes 1 pieces, Book
- ISBN 9789819958801
- Binding Hardback
- No. of pages551 pages
- Size 235x155 mm
- Weight 1113 g
- Language English
- Illustrations XIV, 551 p. 256 illus., 176 illus. in color. Illustrations, black & white 508
Categories
Long description:
This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2023), organized by Sir Padampat Singhania University, India and is technically sponsored by Soft Computing Research Society during March 18–19, 2023. The topics covered are agent-based systems, evolutionary algorithms, approximate reasoning, bioinformatics and computational biology, artificial intelligence in modeling and simulation, natural language processing, brain-machine interfaces, collective intelligence, computer vision and speech understanding, data mining, swarm intelligence, machine learning, human-computer interaction, intelligent sensor, devices and applications, and intelligent database systems.
MoreTable of Contents:
A pragmatic study of machine learning models used during data retrieval: An empirical perspective.- Patient-Centric Electronic Health Records Management System Using Blockchain Based on Liquid Proof of Stake.- Prediction of Children Age Range Based on Book Synopsis.- Exploring Jaccard Similarity and Cosine Similarity for Developing an Assamese Question Answering System.- Artificial Neural Network modelling for simulating catchment runoff: a case study of East Melbourne.- Effective Decision Making through Skyline Visuals.- A Review Paper on The Integration of Blockchain Technology With IoT.- Survey and analysis of Epidemic Diseases Using Regression Algorithms.- Cauliflower Plant Disease Prediction Using Deep Learning Techniques.- Disease Detection and Prediction in plants through Leaves using Convolutional Neural Networks.- Classification of Breast Cancer Using Machine Learning: An In-Depth Analysis.- Prediction of Age, Gender and Ethinicity Using Haar Cascade Algorithm In ConvolutionalNeural Networks.- A Lightweight Solution to Intrusion Detection and Non-Intrusive Data Encryption.- Efficiency of cellular automata filters for noise reduction in digital images.- Scheming of silver nickel magnopsor for Magneto-Plasmonic (MP) activity.- Heart Stroke Prediction Using Different Machine Learning Algorithms.- Credit Card Fraud Detection using Hybrid Machine Learning Algorithm.- Smart Air Pollution Monitoring System for Hospital Environment using Wireless Sensor and LabVIEW.- Mining optimal patterns from transactional data using Jaya Algorithm.- Accurate Diagnosis of Leaf Disease based on Unsupervised Learning Algorithms.- Modified teaching-learning based algorithm for long short-term memory optimization: an application for univarate individual household energy consumption forecasting.- Chaotic Quasi-Oppositional Chemical Reaction Optimization for Optimal Tuning of Single Input Power System Stabilizer.- Network Intrusion Detection System for Cloud Computing security usingDeep Neural Network framework.- Detection of Alzheimer’s Disease using Deep Learning Technique.- Performance Evaluation of Multiple ML Classifiers for Malware detection.- An analysis of feature engineering approaches for unlabeled dark web data classification.- Anomaly Detection to prevent Sensitive Data Exposure usiang GMM Clustering Model.- Real-time Driver Drowsiness detection system using Machine Learning.- Nature-Inspired Information Retrieval Systems: A Systematic Review of Literature and Techniques.- Deep Learning based Smart Attendance System.- Optical Character Recognition and Text Line Recognition of Handwritten Documents: A Survey.- Advanced Pointer-Generator Networks Based Text Generation.
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