Proceedings of World Conference on Artificial Intelligence: Advances and Applications [E-Book] : WCAIAA 2023 / edited by Ashish Kumar Tripathi, Darpan Anand, Atulya K. Nagar.
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, 20...
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Full text |
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| Personal Name(s): | Anand, Darpan, editor |
| Nagar, Atulya K., editor / Tripathi, Ashish Kumar, editor | |
| Edition: |
1st edition 2023. |
| Imprint: |
Singapore :
Springer,
2023
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| Physical Description: |
XIV, 551 pages 256 illustrations, 176 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9789819958818 |
| DOI: |
10.1007/978-981-99-5881-8 |
| Series Title: |
Algorithms for Intelligent Systems
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| Subject (LOC): |
- 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.