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Proceedings of World Conference on A...
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World Conference on Artificial Intelligence : Advances and Applications ((2023 :)
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Proceedings of World Conference on Artificial Intelligence = advances and applications : WCAIAA 2023 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Proceedings of World Conference on Artificial Intelligence/ edited by Ashish Kumar Tripathi, Darpan Anand, Atulya K. Nagar.
其他題名:
advances and applications : WCAIAA 2023 /
其他題名:
WCAIAA 2023
其他作者:
Tripathi, Ashish Kumar.
團體作者:
World Conference on Artificial Intelligence : Advances and Applications
出版者:
Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:
xiv, 551 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-981-99-5881-8
ISBN:
9789819958818
Proceedings of World Conference on Artificial Intelligence = advances and applications : WCAIAA 2023 /
Proceedings of World Conference on Artificial Intelligence
advances and applications : WCAIAA 2023 /[electronic resource] :WCAIAA 2023edited by Ashish Kumar Tripathi, Darpan Anand, Atulya K. Nagar. - Singapore :Springer Nature Singapore :2023. - xiv, 551 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..
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.
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.
ISBN: 9789819958818
Standard No.: 10.1007/978-981-99-5881-8doiSubjects--Topical Terms:
606815
Artificial intelligence
--Congresses.
LC Class. No.: Q334
Dewey Class. No.: 006.3
Proceedings of World Conference on Artificial Intelligence = advances and applications : WCAIAA 2023 /
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