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4 books on AI for Space applications [PDF]
Updated: May 10, 2024 | 0 |
Books on AI for space applications serve as invaluable resources for startups delving into the realm of artificial intelligence and its potential in the vast expanse of space. These books provide comprehensive insights into the intricate fusion of artificial intelligence and space technology, offering a deep understanding of algorithms, machine learning techniques, and data analysis methods tailored for space applications.
1. Intelligent Thoughts of the Cosmos: Artificial Intelligence and Evolutionary Intelligence in Space
2023 by BܪRA ARSLAN HAKTANIYAN
In the vast expanses of the cosmos, humanity embarks on an extraordinary journey beyond Earth, delving into the mysteries of the universe with an insatiable thirst for knowledge and an unwavering determination. "Intelligent Thoughts of the Cosmos: Artificial Intelligence and Evolutionary Intelligence in Space" invites you on a cosmic odyssey, transcending the limits of our home planet. This journey, guided by the synergy of human intellect, artificial intelligence, and evolutionary processes, explores the majestic galaxies, brilliant stars, and enigmatic black holes that grace the heavens. From the inception of the universe to the emergence of life on distant worlds, the book celebrates the indomitable spirit of discovery, highlighting the collaboration between human ingenuity and the technological marvels of artificial intelligence. Delving into the philosophical and scientific dimensions of cosmic intelligence, it explores the intricate dance of galaxies, questions of existence, and the search for extraterrestrial life. Illuminated by the guiding light of intelligence, this narrative bridges the realms of science and philosophy, offering profound insights into the enigmatic universe. As you embark on this cosmic odyssey, may you be inspired by the beauty of the cosmos and the endless possibilities that the universe holds. Let the journey begin.
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2. The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics
2023 by Cosimo Ieracitano, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, Francesco Carlo Morabito
This book serves as a valuable and practical guide, exploring the transformative influence of Artificial Intelligence (AI) on space sciences and applications. "The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics" offers a hands-on approach to delve into the subject and acquire practical skills. While AI has not yet gained universal acceptance in space applications due to mission-critical nature and cost concerns, its potential impact is undeniably profound. The book navigates through real or experimental implementations, covering compelling topics such as space exploration, autonomous navigation and landing, rover control on challenging terrains, automated image analysis for planet or star classification, and space debris avoidance without human intervention. This approach paves the way for further exploration of similar subjects, aligning with the evolving trend of incorporating AI in future space endeavors. Targeted at researchers in academia, space industries, and practitioners in related start-ups, this resource aims to facilitate a deeper understanding of AI's role in shaping the future of space exploration.
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3. Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
2021 by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein
Discover the profound intersection of deep learning and the Earth sciences through "Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences," presented by four influential voices in the field. In the realm of modern Artificial Intelligence, deep learning has become a cornerstone, extending its application across diverse scientific disciplines, including earth science. Despite its significance, the integration of deep learning into earth sciences has only recently found a place in academic curricula. This book offers a distinctive perspective, equipping readers with the essential concepts, skills, and practices needed to adeptly apply deep learning techniques to the Earth sciences. It not only prepares readers to implement these technologies and principles in their own research but also provides valuable resources, ideas, and recommendations for advanced research education and PhD thesis orientations. Covering classification, image segmentation, anomaly detection, domain adaptation, representations, unsupervised learning, regression, parameter retrieval, forecasting, interpolation, and physics-aware deep learning models, this comprehensive resource caters to PhD students and researchers in geosciences, image processing, remote sensing, electrical engineering, computer science, and machine learning. It will also find a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
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4. Patterns Identification and Data Mining in Weather and Climate
2021 by Abdelwaheb Hannachi
"Patterns Identification and Data Mining in Weather and Climate" delves into the realm of extensive weather and climate data generated by advances in computer power and observation systems, inviting exploration and analysis. This comprehensive book provides a multifaceted exploration of the various approaches, both novel and conventional, used in climate science to analyze multivariate time series data. From identifying patterns of variability and teleconnections to dimensionality reduction, the text covers diverse methods for discerning spatiotemporal fields. Emphasizing machine learning, the book discusses main methods applied in climate science and offers applications to atmospheric and oceanographic data throughout its chapters. To facilitate understanding for students and beginners in weather and climate data analysis, basic Matlab skeleton codes are provided in some chapters, complemented by a list of software links. Technical appendices enhance the didactic value of the text. With contributions from Abdel Hannachi, who has not only demonstrated deep insight but has also made significant contributions to new developments in the field over the last 15 years, the book is praised by experts for its coverage of classical and modern techniques in pattern identification. It serves as a valuable tutorial for graduate and postgraduate students and a reference text for researchers and practitioners in the field of weather and climate science.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Intelligent Thoughts of the Cosmos: Artificial Intelligence and Evolutionary Intelligence in Space
2023 by BܪRA ARSLAN HAKTANIYAN
In the vast expanses of the cosmos, humanity embarks on an extraordinary journey beyond Earth, delving into the mysteries of the universe with an insatiable thirst for knowledge and an unwavering determination. "Intelligent Thoughts of the Cosmos: Artificial Intelligence and Evolutionary Intelligence in Space" invites you on a cosmic odyssey, transcending the limits of our home planet. This journey, guided by the synergy of human intellect, artificial intelligence, and evolutionary processes, explores the majestic galaxies, brilliant stars, and enigmatic black holes that grace the heavens. From the inception of the universe to the emergence of life on distant worlds, the book celebrates the indomitable spirit of discovery, highlighting the collaboration between human ingenuity and the technological marvels of artificial intelligence. Delving into the philosophical and scientific dimensions of cosmic intelligence, it explores the intricate dance of galaxies, questions of existence, and the search for extraterrestrial life. Illuminated by the guiding light of intelligence, this narrative bridges the realms of science and philosophy, offering profound insights into the enigmatic universe. As you embark on this cosmic odyssey, may you be inspired by the beauty of the cosmos and the endless possibilities that the universe holds. Let the journey begin.
Download PDF
2. The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics
2023 by Cosimo Ieracitano, Nadia Mammone, Marco Di Clemente, Mufti Mahmud, Roberto Furfaro, Francesco Carlo Morabito
This book serves as a valuable and practical guide, exploring the transformative influence of Artificial Intelligence (AI) on space sciences and applications. "The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics" offers a hands-on approach to delve into the subject and acquire practical skills. While AI has not yet gained universal acceptance in space applications due to mission-critical nature and cost concerns, its potential impact is undeniably profound. The book navigates through real or experimental implementations, covering compelling topics such as space exploration, autonomous navigation and landing, rover control on challenging terrains, automated image analysis for planet or star classification, and space debris avoidance without human intervention. This approach paves the way for further exploration of similar subjects, aligning with the evolving trend of incorporating AI in future space endeavors. Targeted at researchers in academia, space industries, and practitioners in related start-ups, this resource aims to facilitate a deeper understanding of AI's role in shaping the future of space exploration.
Download PDF
3. Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
2021 by Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein
Discover the profound intersection of deep learning and the Earth sciences through "Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences," presented by four influential voices in the field. In the realm of modern Artificial Intelligence, deep learning has become a cornerstone, extending its application across diverse scientific disciplines, including earth science. Despite its significance, the integration of deep learning into earth sciences has only recently found a place in academic curricula. This book offers a distinctive perspective, equipping readers with the essential concepts, skills, and practices needed to adeptly apply deep learning techniques to the Earth sciences. It not only prepares readers to implement these technologies and principles in their own research but also provides valuable resources, ideas, and recommendations for advanced research education and PhD thesis orientations. Covering classification, image segmentation, anomaly detection, domain adaptation, representations, unsupervised learning, regression, parameter retrieval, forecasting, interpolation, and physics-aware deep learning models, this comprehensive resource caters to PhD students and researchers in geosciences, image processing, remote sensing, electrical engineering, computer science, and machine learning. It will also find a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Download PDF
4. Patterns Identification and Data Mining in Weather and Climate
2021 by Abdelwaheb Hannachi
"Patterns Identification and Data Mining in Weather and Climate" delves into the realm of extensive weather and climate data generated by advances in computer power and observation systems, inviting exploration and analysis. This comprehensive book provides a multifaceted exploration of the various approaches, both novel and conventional, used in climate science to analyze multivariate time series data. From identifying patterns of variability and teleconnections to dimensionality reduction, the text covers diverse methods for discerning spatiotemporal fields. Emphasizing machine learning, the book discusses main methods applied in climate science and offers applications to atmospheric and oceanographic data throughout its chapters. To facilitate understanding for students and beginners in weather and climate data analysis, basic Matlab skeleton codes are provided in some chapters, complemented by a list of software links. Technical appendices enhance the didactic value of the text. With contributions from Abdel Hannachi, who has not only demonstrated deep insight but has also made significant contributions to new developments in the field over the last 15 years, the book is praised by experts for its coverage of classical and modern techniques in pattern identification. It serves as a valuable tutorial for graduate and postgraduate students and a reference text for researchers and practitioners in the field of weather and climate science.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
