398 results on '"Spanias, Andreas"'
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2. Neural Networks and Deep Learning
3. Unsupervised Learning
4. Solving the PU Learning Problem
5. Summary
6. Conclusion and Future Directions
7. Machine and Deep Learning Algorithms and Applications
8. Evaluating the Positive Unlabeled Learning Problem
9. Applications
10. Introduction to Machine Learning
11. Supervised Learning
12. Introduction
13. Distributed Consensus-Based COVID-19 Hotspot Density Estimation
14. Semi-Supervised Learning
15. Machine and Deep Learning Applications
16. Positive Unlabeled Learning
17. Problem Definition
18. Introducing Quantum Computing in a Sophomore Signals and Systems Course
19. A Cyber-Physical Photovoltaic Array Monitoring and Control System
20. A Cyber-Physical Photovoltaic Array Monitoring and Control System
21. Topology Reconfiguration Using Neural Networks
22. Shading Prediction for Power Optimization
23. Fault Classification Using Machine Learning
24. Introduction
25. Summary
26. Machine Learning for Solar Array Monitoring, Optimization, and Control
27. Solar Array Research Testbed
28. Investigating a Quantum Cloud Paradigm with Quantum Neural Networks
29. Computer Vision and Image Processing for Surveillance Applications
30. Compressed Sensing Fundamentals
31. Toward Compressive Vision
32. Reconstruction-Free Compressive Vision for Surveillance Applications
33. Conclusion
34. Introduction
35. Signal Analysis-Synthesis Using the Quantum Fourier Transform
36. Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks
37. Introduction
38. Distributed Node Counting in WSNs
39. Review of Consensus and Network Structure Estimation
40. Conclusions
41. Distributed Network Structure Estimation Using Consensus Methods
42. Network Center and Coverage Region Estimation
43. Noncentralized Estimation of Degree Distribution
44. Software-Defined Imaging: A Survey
45. Energy-Efficient Object Tracking using Adaptive ROI Subsampling and Deep Reinforcement Learning
46. Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks
47. Undergraduate Research and Education in Quantum Machine Learning
48. Introduction
49. Concluding Remarks and Summary
50. Review of Localization Algorithms
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