Applications Of Statistics Artificial Intelligence In Emerging Scenarios 2023
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Applications Of Statistics Artificial Intelligence In Emerging Scenarios 2023
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Author : Prof. Monalisha Pattnaik
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Applications Of Statistics Artificial Intelligence In Emerging Scenarios 2023 written by Prof. Monalisha Pattnaik and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Application Of Artificial Intelligence In New Materials Discovery
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Author : Inamuddin
language : en
Publisher: Materials Research Forum LLC
Release Date : 2023-07-05
Application Of Artificial Intelligence In New Materials Discovery written by Inamuddin and has been published by Materials Research Forum LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Technology & Engineering categories.
The book is concerned with the use of Artificial Intelligence in the discovery, production and application of new engineering materials. Topics covered include nano-robots. data mining, solar energy systems, materials genomics, polymer manufacturing, and energy conversion issues. Keywords: Artificial Intelligence, Mathematical Models, Machine Learning, Artificial Neural Networks, Bayesian Analysis, Vector Machines, Heuristics, Crystal Structure, Component Prediction, Process Optimization, Density Functional Theory, Monitoring, Classification, Nano-Robots, Data Mining, Solar Photovoltaics, Renewable Energy Systems, Alternative Energy Sources, Material Genomics, Polymer Manufacturing, Energy Conversion.
Data Analytics And Artificial Intelligence For Predictive Maintenance In Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: CRC Press
Release Date : 2024-10-23
Data Analytics And Artificial Intelligence For Predictive Maintenance In Smart Manufacturing written by Amit Kumar Tyagi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.
Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.
Proceedings Of The 2024 2nd International Conference On Management Innovation And Economy Development Mied 2024
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Author : Barbara Siuta-Tokarska
language : en
Publisher: Springer Nature
Release Date : 2024-10-10
Proceedings Of The 2024 2nd International Conference On Management Innovation And Economy Development Mied 2024 written by Barbara Siuta-Tokarska and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Business & Economics categories.
This book is open access. Economic development is one of the necessary conditions for social development, and management innovation is an inherent attribute of societies, countries, governments, and enterprises. With the advent of globalization in the 21st century, enterprises, governments, countries and other organizational units have put forward higher requirements for management innovation, and economic development is seeing major challenges. The 2nd International Conference on Management Innovation and Economic Development ( MIED 2024 ) will be held in Guilin, China on June 28-30, 2024. The conference aims to provide a platform for experts, scholars, engineering technicians, and technical R&D personnel engaged in the research of economics and management to share scientific research achievements and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and exploration, and promote cooperation in the industrialization of academic achievements. The conference cordially invites experts, scholars, business professionals, and other relevant personnel from domestic and foreign universities, research institutions, and other relevant personnel to participate and exchange ideas! We cordially invite you to submit papers and look forward to meeting you in MIED 2024!
Human Interaction Emerging Technologies Ihiet 2023 Artificial Intelligence Future Applications
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Author : Tareq Ahram and Redha Taiar
language : en
Publisher: AHFE International
Release Date : 2023-08-22
Human Interaction Emerging Technologies Ihiet 2023 Artificial Intelligence Future Applications written by Tareq Ahram and Redha Taiar and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-22 with Technology & Engineering categories.
Proceedings of the 10th International Conference on Human Interaction and Emerging Technologies, IHIET 2023, August 22-24, 2023, Université Côte d'Azur, Nice, France.
Human Interaction And Emerging Technologies Ihiet Ai 2025 Artificial Intelligence And Future Applications
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Author : Tareq Z. Ahram
language : en
Publisher: AHFE Conference
Release Date : 2025-04-28
Human Interaction And Emerging Technologies Ihiet Ai 2025 Artificial Intelligence And Future Applications written by Tareq Z. Ahram and has been published by AHFE Conference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Education categories.
Human Interaction and Emerging Technologies (IHIET-AI 2025): Artificial Intelligence and Future Applications Proceedings of the 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications, Costa Del Sol, Universidad de Málaga, Malaga, Spain, April 22-24,
Artificial Intelligence For A Better Future
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Author : Bernd Carsten Stahl
language : en
Publisher: Springer Nature
Release Date : 2021-03-17
Artificial Intelligence For A Better Future written by Bernd Carsten Stahl and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-17 with Computers categories.
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Statistical Relational Artificial Intelligence In Photovoltaic Power Uncertainty Analysis
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Author : Xueqian Fu
language : en
Publisher: Elsevier
Release Date : 2025-04-16
Statistical Relational Artificial Intelligence In Photovoltaic Power Uncertainty Analysis written by Xueqian Fu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Science categories.
Statistical Relational Artificial Intelligence in Photovoltaic Power Uncertainty Analysis addresses uncertainty issues in photovoltaic power generation while also supporting the collaborative enhancement of understanding and applying theory and methods through the integration of models, cases, and code. The book employs StaRAI to address uncertainty analysis and modeling issues at different time scales in photovoltaic power generation, including photovoltaic power prediction, probabilistic power flow, stochastic planning, and more. Chapters cover uncertainty of PV power generation from short to long time scales, including day-ahead scheduling (24 hours in advance), intraday scheduling (minute to hour rolling), and grid planning (15 years).Other sections study the impact of photovoltaic uncertainty on the power grid, offering the most classic cases of probabilistic load flow and PV stochastic planning.The theoretical content of this book is not only systematic but supplemented with concrete examples and MATLAB/Python codes. Its contents will be of interest to all those working on photovoltaic planning, power generation, power plants, and applications of AI, including researchers, advanced students, faculty engineers, R&D, and designers. - Explores how Statistical Relational Artificial Intelligence (StaRAI) can be applied to photovoltaic power prediction, maintenance, and planning - Provides a theoretical framework supported by schematic diagrams, real examples, and code - Discusses the potential for groundbreaking AI applications in PV, future opportunities, and ethical and societal impacts