Computational intelligence in machine learning select proceedings of ICCIML 2021 /
The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disci...
| Corporate Authors: | International Conference on Computational Intelligence in Machine Learning Online). |
|---|---|
| Other Authors: | International Conference on Computational Intelligence in Machine Learning, Kumar, Amit, Dr., Zurada, Jacek M.,, Gunjan, Vinit Kumar,, Balasubramanian, Raman,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2022]
|
| Physical Description: |
1 online resource : illustrations (chiefly color). |
| Series: |
Lecture notes in electrical engineering ;
v. 834. |
| Subjects: |
Table of Contents:
- Machine Learning-based Project Resource Allocation Fitment Analysis System (ML-PRAFS)
- Electric Theft Detection using Un-supervised Machine Learning Based Matrix Profile and K Means Clustering Technique
- Placement Analysis A New Approach to Ease the Recruitment Process
- Continuous Assessment Analyzer using Django
- Fuzzy Logic in Battery Energy Storage System (Bess)
- Fault Classification of Cooling Fans using a CNN-based Approach
- Violence Recognition using Convolutional Neural Networks
- Automated Grading of Citrus Suhuiensis Fruit using Deep Learning Method
- The Future of Car Automation Field with Smart Driverless Technologies
- Diagnosis and Medicine Prediction for Covid-19 using Machine Learning Approach
- Automated Guided Vehicle Robot Localization with Sensor Fusion
- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Set-up
- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration
- Defect Severity Classification of Complex Composites using CWT and CNN
- Detection of Mobile Phone Usage While Driving using Computer Vision and Deep Learning
- Industry Revolution 4.0 Knowledge Assessment in Malaysia.