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Methodologies and Applications of Computational Statistics for Machine Intelligence, Samanta Debabrata, Rao Althar Raghavendra, Pramanik Sabyasachi


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Автор: Samanta Debabrata, Rao Althar Raghavendra, Pramanik Sabyasachi
Название:  Methodologies and Applications of Computational Statistics for Machine Intelligence
ISBN: 9781799877028
Издательство: Mare Nostrum (Eurospan)
Классификация:


ISBN-10: 1799877027
Обложка/Формат: Paperback
Страницы: 305
Вес: 0.72 кг.
Дата издания: 30.07.2021
Серия: Computing & IT
Язык: English
Размер: 27.94 x 21.59 x 2.87 cm
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence,Machine learning,Probability & statistics, COMPUTERS / Intelligence (AI) & Semantics,MATHEMATICS / Probability & Statistics / General
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Поставляется из: Англии
Описание: With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past.

Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians.


Methodologies and Applications of Computational Statistics for Machine Intelligence

Автор: Samanta Debabrata, Rao Althar Raghavendra, Pramanik Sabyasachi
Название: Methodologies and Applications of Computational Statistics for Machine Intelligence
ISBN: 1799877019 ISBN-13(EAN): 9781799877011
Издательство: Mare Nostrum (Eurospan)
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Цена: 260570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With the field of computational statistics growing rapidly, there is a need for capturing the advances and assessing their impact. Advances in simulation and graphical analysis also add to the pace of the statistical analytics field. Computational statistics play a key role in financial applications, particularly risk management and derivative pricing, biological applications including bioinformatics and computational biology, and computer network security applications that touch the lives of people. With high impacting areas such as these, it becomes important to dig deeper into the subject and explore the key areas and their progress in the recent past.

Methodologies and Applications of Computational Statistics for Machine Intelligence serves as a guide to the applications of new advances in computational statistics. This text holds an accumulation of the thoughts of multiple experts together, keeping the focus on core computational statistics that apply to all domains. Covering topics including artificial intelligence, deep learning, and trend analysis, this book is an ideal resource for statisticians, computer scientists, mathematicians, lecturers, tutors, researchers, academic and corporate libraries, practitioners, professionals, students, and academicians.

Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science

Автор: Hong Huixiao
Название: Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science
ISBN: 3030164454 ISBN-13(EAN): 9783030164454
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.

Computational Intelligence: Theory and Applications

Автор: Bernd Reusch
Название: Computational Intelligence: Theory and Applications
ISBN: 354066050X ISBN-13(EAN): 9783540660507
Издательство: Springer
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Цена: 111790.00 T
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Описание: These revised full papers are devoted to foundational and practical issues in fuzzy systems, neural networks and genetic algorithms.

Matrix Differential Calculus with Applications in Statistics and Econometrics

Автор: Jan R. Magnus, Heinz Neudecker
Название: Matrix Differential Calculus with Applications in Statistics and Econometrics
ISBN: 1119541204 ISBN-13(EAN): 9781119541202
Издательство: Wiley
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Цена: 93930.00 T
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Описание:

A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics

This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.

Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.

  • Fulfills the need for an updated and unified treatment of matrix differential calculus
  • Contains many new examples and exercises based on questions asked of the author over the years
  • Covers new developments in field and features new applications
  • Written by a leading expert and pioneer of the theory
  • Part of the Wiley Series in Probability and Statistics

Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.


Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications

Автор: Asim Abdel Rahman El Sheikh, Mouhib Alnoukari
Название: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications
ISBN: 1613500505 ISBN-13(EAN): 9781613500507
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management.

Applications of Artificial Intelligence in Electrical Engineering

Автор: Saifullah Khalid
Название: Applications of Artificial Intelligence in Electrical Engineering
ISBN: 1799827186 ISBN-13(EAN): 9781799827184
Издательство: Mare Nostrum (Eurospan)
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Цена: 283010.00 T
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Описание: Artificial intelligence is increasingly finding its way into industrial and manufacturing contexts. The prevalence of AI in industry from stock market trading to manufacturing makes it easy to forget how complex artificial intelligence has become. Engineering provides various current and prospective applications of these new and complex artificial intelligence technologies.

Applications of Artificial Intelligence in Electrical Engineering is a critical research book that examines the advancing developments in artificial intelligence with a focus on theory and research and their implications. Highlighting a wide range of topics such as evolutionary computing, image processing, and swarm intelligence, this book is essential for engineers, manufacturers, technology developers, IT specialists, managers, academicians, researchers, computer scientists, and students.

Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0

Автор: Dac–Nhuong Le, Chung Van Le, Jolanda G. Tromp, Gia
Название: Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0
ISBN: 1119509815 ISBN-13(EAN): 9781119509813
Издательство: Wiley
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Цена: 193190.00 T
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Описание:

Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.

With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.

This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.

The groundbreaking book presents state-of-the-art chapters on many subjects including:

  • A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
  • A review of current augmenting dental care
  • An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
  • A review of telemedicine technologies
  • Building empathy in young children using augmented reality
  • AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
  • Mobile doctor brain AI App
  • An artificial intelligence mobile cloud computing tool
  • Development of a robotic teaching aid for disabled children
  • Training system design of lower limb rehabilitation robot based on virtual reality

Computational Methodologies for Electrical and Electronics Engineers

Автор: Ajay Kumar Dwivedi, Ashutosh Kumar Singh, Rajiv Singh
Название: Computational Methodologies for Electrical and Electronics Engineers
ISBN: 1799833275 ISBN-13(EAN): 9781799833277
Издательство: Mare Nostrum (Eurospan)
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Цена: 239310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists working in this sector need an exhaustive source of current knowledge to effectively cater to the energy needs of citizens of developing countries.

Computational Methodologies for Electrical and Electronics Engineers is a collection of innovative research that provides a complete insight and overview of the application of intelligent computational techniques in power and energy. Featuring research on a wide range of topics such as artificial neural networks, smart grids, and soft computing, this book is ideally designed for programmers, engineers, technicians, ecologists, entrepreneurs, researchers, academicians, and students.

Innovations in Data Methodologies and Computational Algorithms for Medical Applications

Автор: Aryya Gangopadhyay
Название: Innovations in Data Methodologies and Computational Algorithms for Medical Applications
ISBN: 1466602821 ISBN-13(EAN): 9781466602823
Издательство: Mare Nostrum (Eurospan)
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Цена: 238390.00 T
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Описание: <em>Innovations in Data Methodologies and Computational Algorithms for Medical Applications</em> offers the most cutting edge research in the field, offering insights into case studies and methodologies from around the world. The text details the latest developments and will serve as a vital resource to practitioners and academics alike in the burgeoning field of medical applications of technologies. As security and privacy improve, Electronic Health Records and informatics in the medical field are becoming ubiquitous, and staying abreast of the latest information can be difficult. This volume serves as a reference handbook and theoretical framework for the future of the field.

Computational Methodologies for Electrical and Electronics Engineers

Автор: Ashutosh Kumar Singh, Rajiv Singh
Название: Computational Methodologies for Electrical and Electronics Engineers
ISBN: 1799833283 ISBN-13(EAN): 9781799833284
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 198530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists working in this sector need an exhaustive source of current knowledge to effectively cater to the energy needs of citizens of developing countries.

Computational Methodologies for Electrical and Electronics Engineers is a collection of innovative research that provides a complete insight and overview of the application of intelligent computational techniques in power and energy. Featuring research on a wide range of topics such as artificial neural networks, smart grids, and soft computing, this book is ideally designed for programmers, engineers, technicians, ecologists, entrepreneurs, researchers, academicians, and students.

Challenges and Applications for Implementing Machine Learning in Computer Vision

Автор: Ramgopal Kashyap, A.V. Senthil Kumar
Название: Challenges and Applications for Implementing Machine Learning in Computer Vision
ISBN: 1799801837 ISBN-13(EAN): 9781799801832
Издательство: Mare Nostrum (Eurospan)
Цена: 173190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing. There is a need for research that seeks to understand the development and efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a collection of innovative research that combines theory and practice on adopting the latest deep learning advancements for machines capable of visual processing. Highlighting a wide range of topics such as video segmentation, object recognition, and 3D modelling, this publication is ideally designed for computer scientists, medical professionals, computer engineers, information technology practitioners, industry experts, scholars, researchers, and students seeking current research on the utilization of evolving computer vision techniques.


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