Advanced Intelligence Methods For Data Science And Optimization
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Advanced Intelligence Methods For Data Science And Optimization
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Author : Amir Hossein Gandomi
language : en
Publisher: Morgan Kaufmann
Release Date : 2025-08-01
Advanced Intelligence Methods For Data Science And Optimization written by Amir Hossein Gandomi and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
In an era dominated by vast amounts of data and complex decision-making processes, this book equips both aspiring and experienced data scientists with the knowledge and tools to leverage advanced intelligence methods for maximum impact. "Advanced Intelligence Methods for Data Science and Optimization" covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains. It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon. Advanced Intelligence Methods for Data Science and Optimization is a resource for AI researchers, data scientists, engineers, and developers covering key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.•Provides comprehensive coverage of advanced intelligence methods. •Includes real-world examples and case studies illustrating the application of these methods across a wide range of fields. •Begins with an introduction to Deep Learning concepts and quickly moves to the most leading- edge topics in computational intelligence, all with an application to data science techniques.
Artificial Intelligence Methods For Optimization Of The Software Testing Process
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Author : Sahar Tahvili
language : en
Publisher: Elsevier
Release Date : 2022-07-26
Artificial Intelligence Methods For Optimization Of The Software Testing Process written by Sahar Tahvili and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-26 with Computers categories.
Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier's Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https://www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence Presents one of the first empirical studies in the field, contrasting theoretical assumptions on innovations in a real industrial environment with a large set of use cases from developed and developing testing processes at various large industries Explores specific comparative methodologies, focusing on developed and developing AI-based solutions Serves as a guideline for conducting industrial research in the artificial intelligence and software testing domain Explains all proposed solutions through real industrial case studies
Advanced Intelligence Methods For Data Science And Optimization
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Author : Amir Hossein Gandomi
language : en
Publisher: Morgan Kaufmann
Release Date : 2025-08-01
Advanced Intelligence Methods For Data Science And Optimization written by Amir Hossein Gandomi and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-01 with Computers categories.
In an era dominated by vast amounts of data and complex decision-making processes, this book equips both aspiring and experienced data scientists with the knowledge and tools to leverage advanced intelligence methods for maximum impact. Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains. It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon. Advanced Intelligence Methods for Data Science and Optimization is a resource for AI researchers, data scientists, engineers, and developers covering key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.
Advanced Analytics And Artificial Intelligence Applications
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Author : Ali Soofastaei
language : en
Publisher: BoD – Books on Demand
Release Date : 2019-11-13
Advanced Analytics And Artificial Intelligence Applications written by Ali Soofastaei and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Computers categories.
Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models.
Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities
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Author : Panos M. Pardalos
language : en
Publisher: Springer Nature
Release Date : 2022-01-09
Artificial Intelligence Machine Learning And Optimization Tools For Smart Cities written by Panos M. Pardalos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-09 with Mathematics categories.
This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which contribute to the optimization of urban features towards forming smart, sustainable, and livable future cities. Special features include: New research on the design of city elements and smart systems with respect to new technologies and scientific thinking Discussions on the theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial intelligence and machine learning in optimized urban environments The book engages students and researchers in the subjects of artificial intelligence, machine learning, and optimization tools in smart sustainable cities as eminent international experts contribute their research results and thinking in its chapters. Overall, its audience can benefit from a variety of disciplines including, architecture, engineering, physics, mathematics, computer science, and related fields.
Advanced Intelligent Systems For Sustainable Development Ai2sd 2020
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Author : Janusz Kacprzyk
language : en
Publisher: Springer Nature
Release Date : 2022-02-10
Advanced Intelligent Systems For Sustainable Development Ai2sd 2020 written by Janusz Kacprzyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-10 with Technology & Engineering categories.
This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.
International Conference On Advanced Intelligent Systems For Sustainable Development
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Author : Janusz Kacprzyk
language : en
Publisher: Springer Nature
Release Date : 2023-06-09
International Conference On Advanced Intelligent Systems For Sustainable Development written by Janusz Kacprzyk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-09 with Technology & Engineering categories.
This book describes the potential contributions of emerging technologies in different fields as well as the opportunities and challenges related to the integration of these technologies in the socio-economic sector. In this book, many latest technologies are addressed, particularly in the fields of computer science and engineering. The expected scientific papers covered state-of-the-art technologies, theoretical concepts, standards, product implementation, ongoing research projects, and innovative applications of Sustainable Development. This new technology highlights, the guiding principle of innovation for harnessing frontier technologies and taking full profit from the current technological revolution to reduce gaps that hold back truly inclusive and sustainable development. The fundamental and specific topics are Big Data Analytics, Wireless sensors, IoT, Geospatial technology, Engineering and Mechanization, Modeling Tools, Risk analytics, and preventive systems.
Proceedings Of The 11th International Conference On Advanced Intelligent Systems And Informatics Aisi 2025
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2025-02-20
Proceedings Of The 11th International Conference On Advanced Intelligent Systems And Informatics Aisi 2025 written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
This book includes recent research on intelligent systems and informatics. It constitutes the proceedings of the 11th International Conference on Advanced Intelligent Systems and Informatics. It presents scientific research on all aspects of informatics and intelligent systems including current research in informatics, machine and deep learning, real-time system, and business intelligence.
Advanced Intelligent Computing In Bioinformatics
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Author : De-Shuang Huang
language : en
Publisher: Springer Nature
Release Date : 2024-07-30
Advanced Intelligent Computing In Bioinformatics written by De-Shuang Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
This two-volume set LNBI 14881-14882 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 6-volume set LNAI 14875-14880 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them. The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.
Advanced Intelligent Computing Theories And Applications With Aspects Of Artificial Intelligence
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Author : De-Shuang Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-28
Advanced Intelligent Computing Theories And Applications With Aspects Of Artificial Intelligence written by De-Shuang Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-28 with Computers categories.
The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.