 Download Project List |
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Projects List
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IEEE
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Base Paper
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Abstract
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Machine Learning (Python) Projects
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| 1. |
Pymoo: Multi-objective Optimization in Python |
2020 |
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| 2. |
Performance Evaluation of Machine Learning in Wireless Connected Robotics Swarms |
2020 |
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| 3. |
Synthetic NET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond |
2020 |
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| 4. |
Automatic Detection of Genetic Diseases in Pediatric Age Using Pupillometry |
2020 |
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| 5. |
A Trustworthy Privacy Preserving Framework for Machine Learning in Industrial IoT Systems |
2020 |
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| 6. |
Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning |
2020 |
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| 7. |
Research on Risk Prediction of Dyslipidemia in Steel Workers Based on Recurrent Neural Network and LSTM Neural Network |
2020 |
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| 8. |
An Open-Ended Continual Learning for Food Recognition Using Class Incremental Extreme Learning Machines |
2020 |
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| 9. |
Flexible Machine Learning Based Cyber attack Detection Using Spatiotemporal Patterns for Distribution Systems |
2020 |
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| 10. |
Prediction for Manufacturing Factors in a Steel Plate Rolling Smart Factory Using Data Clustering-Based Machine Learning |
2020 |
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| 11. |
Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets |
2020 |
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| 12. |
COVID-19 Future Forecasting Using Supervised Machine Learning Models |
2020 |
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| 13. |
A Novel Software Engineering Approach Toward Using Machine Learning for Improving the Efficiency of Health Systems |
2020 |
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| 14. |
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine |
2019 |
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| 15. |
A Nonlinear Regression Application via Machine Learning Techniques for Geomagnetic Data Reconstruction Processing |
2019 |
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| 16. |
A Method for Sensor Reduction in a Supervised Machine Learning Classification System |
2019 |
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| 17. |
Dynamic Auto-selection and Auto-tuning of Machine Learning Models for Cloud Network Analytics |
2019 |
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| 18. |
Automatically Evaluating Balance: A Machine Learning Approach |
2019 |
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| 19. |
Fast and Communication-Efficient Algorithm for Distributed Support Vector Machine Training |
2019 |
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| 20. |
Adversarial Deep Learning Models with Multiple Adversaries |
2019 |
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| 21. |
Universal Approximation Capability of Broad Learning System and Its Structural Variations |
2019 |
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| 22. |
Multimodal Machine Learning: A Survey and Taxonomy |
2019 |
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| 23. |
Computer Vision and Machine Learning for Viticulture Technology |
2018 |
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| 24. |
A novel method for implementing Artificial Intelligence, Cloud and Internet of Things in Robots |
2018 |
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| 25. |
Data Classification with Deep Learning using Tensorflow |
2017 |
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