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I will present innovative techniques that leverage machine and deep learning for the purposes of passive radar, image reconstruction, radar resource management, waveform estimation and …
Discover how machine learning enhances radar detection accuracy & performance. Explore the latest techniques in this insightful article.
Jun 7, 2024 · As the demand for advanced radar systems continues to grow, the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies has become increasingly …
Feb 5, 2025 · As radar signals are more complex and observations are denser, new Machine Learning (ML) approaches appear in the literature to enhance traditional Radar Signal …
With the rapid development of machine learning (ML), especially deep learning, radar re-searchers have started integrating these new methods when solving RSP-related problems.
This paper provides a comprehensive survey of the current state-of-the-art Generative AI technologies applied to radar systems, highlighting critical methodologies, such as deep …
Presenter Information Uttam K. Majumder is an AI and Radar Researcher. He received his Ph.D. in electrical engineering from Purdue University, USA. He is a senior member of IEEE. Email: …
Learn about the products used with deep learning for radar applications. Synthesize radar signals to train machine and deep learning models for target and signal classification and apply deep …
The implementation and development of machine learning presents several challenges, including achieving autonomous decision making, and creating complex systems capable of adapting to …
Oct 30, 2024 · However, machine learning for radar faces challenges due to limited application-specific datasets, often requiring advanced simulations to supplement real-world data. This …
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