UID:
almahu_9949616728902882
Format:
XIV, 551 p. 256 illus., 176 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9789819958818
Series Statement:
Algorithms for Intelligent Systems,
Content:
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.
Note:
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 Convolutional Neural 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 using Deep 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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819958801
Additional Edition:
Printed edition: ISBN 9789819958825
Additional Edition:
Printed edition: ISBN 9789819962976
Language:
English
DOI:
10.1007/978-981-99-5881-8
URL:
https://doi.org/10.1007/978-981-99-5881-8
URL:
Volltext
(URL des Erstveröffentlichers)
