Air Dominance Through Machine Learning

Air Dominance Through Machine Learning
Author: Li Ang Zhang
Publisher:
Total Pages: 70
Release: 2020-08-15
Genre: Computers
ISBN: 9781977405159
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U.S. air superiority is being challenged by global competitors. In this report, the authors prototype a new artificial intelligence system to help develop and evaluate concepts of operations for the air domain.


Air Dominance Through Machine Learning
Language: en
Pages: 70

Air Dominance Through Machine Learning

Authors: Li Ang Zhang
Categories: Computers
Type: BOOK - Published: 2020-08-15 - Publisher:

GET EBOOK

U.S. air superiority is being challenged by global competitors. In this report, the authors prototype a new artificial intelligence system to help develop and e
Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023
Language: en
Pages: 403

Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023

Authors: Dilmurat Azimov
Categories: Technology & Engineering
Type: BOOK - Published: 2024-01-05 - Publisher: Springer Nature

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This book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These
Multi-Agent-Based Simulation XXII
Language: en
Pages: 203

Multi-Agent-Based Simulation XXII

Authors: Koen H. Van Dam
Categories: Computers
Type: BOOK - Published: 2022-01-15 - Publisher: Springer Nature

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This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Multi-Agent-Based Simulation, MABS 2021, held in
The Air Campaign
Language: en
Pages: 223

The Air Campaign

Authors: John A. Warden, III
Categories:
Type: BOOK - Published: 1994-05 - Publisher: DIANE Publishing

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One of the first analyses of the pure art of planning the aerial dimensions of war. Explores the complicated connection between air superiority and victory in w
Improved Control of Compressed Air Networks Using Machine Learning
Language: en
Pages: 163

Improved Control of Compressed Air Networks Using Machine Learning

Authors:
Categories: Electronic dissertations
Type: BOOK - Published: 2021 - Publisher:

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Mining -- Energy saving -- Compressed air -- Real-time solution -- Simulation software -- Machine learning -- Artificial intelligence (AI) -- Artificial neural