Mr. Paluszek is President of Princeton Satellite Systems (PSS), which he founded in 1992. He holds an Engineer’s degree in Aeronautics and Astronautics (1979), an SM in Aeronautics and Astronautics (1979), and an SB in Electrical Engineering (1976), all from MIT. He is the PI on the ARPA-E OPEN grant to develop a compact nuclear fusion reactor based on the Princeton Field Reversed Configuration concept. He is also PI on the ARPA-E GAMOW project to develop power electronics for the fusion industry. He is PI on a project to design a closed-loop Brayton Cycle heat engine for space applications. Prior to founding PSS, he worked at GE Astro Space in East Windsor, NJ. At GE, he designed or led the design of several attitude control systems including GPS IIR, Inmarsat 3, and GGS Polar platform. He also was an ACS analyst on over a dozen satellite launches, including the GSTAR III recovery. Before joining GE, he worked at the Draper Laboratory and at MIT, where he still teaches Attitude Control Systems (course 16.S685/16.S890). He has 14 patents registered to his name.
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This new and updated third edition provides examples of technologies critical to machine learning. Each example solves a real-world problem, and all code provided is executable. You can...
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Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes...
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Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. With this book you will review contemporary MATLAB coding including the latest MATLAB language features and use MATLAB as a software development...
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Télécharger le livre :  Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep...
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes:  A...
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This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and automatic control and how the field of machine learning grew from these. It provides descriptions of all major...
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