Artificial intelligence and machine learning in business management :, Sandeep Kumar Panda

Автор: Gebrail Bekda, Sinan Melih Nigdeli
Название: Artificial intelligence and machine learning applications in civil, mechanical, and industrial engineering
ISBN: 1799803023 ISBN-13(EAN): 9781799803027
Издательство: Mare Nostrum (Eurospan)
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Цена: 198530.00 T
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Описание: Presents innovative research on the methods and implementation of machine learning and AI in multiple facets of engineering. While highlighting topics including control devices, geotechnology, and artificial neural networks, this book is designed for engineers, academics, researchers, practitioners, and students.

Автор: Dinesh C.S. Bisht, Mangey Ram
Название: Computational Intelligence: Theoretical Advances and Advanced Applications
ISBN: 3110655241 ISBN-13(EAN): 9783110655247
Издательство: Walter de Gruyter
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Цена: 173490.00 T
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Описание: Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Автор: Bhuvaneswari B.
Название: Artificial Intelligence
ISBN: 9390371791 ISBN-13(EAN): 9789390371792
Издательство: Неизвестно
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Цена: 68970.00 T
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Автор: Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel
Название: Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
ISBN: 1799803015 ISBN-13(EAN): 9781799803010
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
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Описание: In today's developing world, industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these recent methods are being applied within the engineering field and what effective solutions they are providing. Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering is a collection of innovative research on the methods and implementation of machine learning and AI in multiple facets of engineering. While highlighting topics including control devices, geotechnology, and artificial neural networks, this book is ideally designed for engineers, academicians, researchers, practitioners, and students seeking current research on solving engineering problems using smart technology.

Автор: Debasis Chanda
Название: Artificial Intelligence and Data Mining for Mergers and Acquisitions
ISBN: 1138354732 ISBN-13(EAN): 9781138354739
Издательство: Taylor&Francis
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Цена: 127600.00 T
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Описание: The book proposal presents a modeling framework for Virtual Enterprise focused on process composition by consolidating individual process models into consolidated process model. This framework uses Artificial Intelligence Knowledge Bases and also proposes a Data Mining model using a fuzzy mathematical approach.

Автор: Jesus Alfonso Perez-Gama
Название: Artificial Intelligence Engineering for Postsecondary Education Digital Transformation
ISBN: 1536163902 ISBN-13(EAN): 9781536163902
Издательство: Nova Science
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Цена: 182680.00 T
Наличие на складе: Невозможна поставка.
Описание: We present conceptual foundations for artificial intelligence, expert systems, and knowledge engineering and management and discuss high quality in education. Following, we discuss the basics of our vision and prospective about higher education (HE): the battle for the future with digital transformation (DT). Next, we present our central Chapter 4 on DT: our dual model of knowledge and data, as befits a HE institution. Below, we present a succinct outline of our architectural model. The pillars of the architecture are funding, research, entrepreneurship and social projection (Chapter 8); recognizing from the start that knowledge has its ethos in the university; these pillars correspond to: a?Productive ecosystem of the DT a?DT that enhances knowledge and innovation in the universities for the habilitation of the digital capabilities a?A new economy that requires the U transformation as social projection. a?New DT human talent required by the new knowledge and intelligence industry. The student hyper-personalization by competences and skills is required. Ten Views of Our DT Model, given its complex process that takes place in long ways, a process required for the successful survival of an organization into the IV Industrial Revolution, with the final purpose of being very competitive, productive and of high quality (HQ). The DT views, namely: 1-The DT Ecosystem. 2-The structural vision or the pillars of the DT mentioned. 3-The DT strategic map, showing scenarios, actors and vision-mission. 4-The architectural components for DT: 8 architectures were developed and implemented, applying some intelligent constructs that we have developed and documented in the last 10 years at FESSANJOSE (U. San JosA©), leading DT in postsecondary education (PSEd). 5-Digital 360° architecture of DT Academy and Administration LOCUS: this architecture is the digital portfolio that implies the organization of the subsystems to obtain better and/or new functionalities based on knowledge to obtain an intelligent behavior. The DT multilayer-architecture approach is a system of systems (SoS) one, which ensures compliance with government policies, norms and standards, in a highly complex social institution with digital assets; this approach describes the subsystems at a higher level, where a system is composed, and with the protocols by which the subsystems communicate. It provides a 360° business vision map and a planning framework for commercial and technological changes. 6-The computational-mathematical perspective of DT, identifying endogenous and exogenous variables and their interrelations. 7-The synthesis, the Matrix of End-Means (EMM) that summarizes in DT: Where the HE is. In addition, where can the HE go? 8-The MIR Matrix, which describes DT Objectives, impacts-indicators and results. 9-The dynamic model of the DT system, based on computational intelligence, representing the system information control of all the components to achieve the completion of the DT. The intelligent management information system (iMIS) for PSEd, shows the dynamics of DT, integrating several multilevel system hybrid architectures, as a space to respond to the solution of the HE problems, tending to the desired competitiveness, specifically pointing out the way that these modern technologies can be included for their adaptation and evolution in PSEd in post-modernity, making governability, and teaching and student productivity compatible with educational high quality, the purpose of DT. The interface Results of the iMIS includes: high quality metrics, digitization rate progress, indicators (an special appendix on KPI were included) and values of management, desertion, answers, and plans. The Input Interface includes data, information and knowledge acquisition, where the attributes, parameters.

Автор: Quang Hung Do
Название: Artificial Neural Network Applications in Business and Engineering
ISBN: 1799832384 ISBN-13(EAN): 9781799832386
Издательство: Mare Nostrum (Eurospan)
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Цена: 260570.00 T
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Описание: In today's modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method.

Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

Автор: Bohr, Adam
Название: Artificial Intelligence In Healthcare
ISBN: 0128184388 ISBN-13(EAN): 9780128184387
Издательство: Elsevier Science
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Цена: 110030.00 T
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Описание:

Artificial Intelligence in Healthcare Data is more than a comprehensive introduction to artificial intelligence and machine learning. The book is split into two sections with an introduction to current healthcare data challenges that is followed by specific applications and case studies. The editors explore how AI is used as a tool in the analysis of healthcare data, specifically focusing on machine learning, deep learning, natural language processing. data privacy, cybersecurity and the ethics. Other sections explore how AI tools can help to interrogate data across a range of healthcare applications, including AI driven wearables and sensors and AI assisted surgery.

Название: Artificial intelligence trends for data analytics using machine learning and deep learning approaches
ISBN: 0367417278 ISBN-13(EAN): 9780367417277
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.

Автор: Neeraj Mohan
Название: Artificial intelligence, machine learning, and data science technologies :
ISBN: 0367720914 ISBN-13(EAN): 9780367720919
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.

Автор: Badiru, Adedeji Bodunde,
Название: Artificial intelligence and digital systems engineering
ISBN: 0367545470 ISBN-13(EAN): 9780367545475
Издательство: Taylor&Francis
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Цена: 53070.00 T
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Описание: The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering.

Автор: Kaushik Kumar, Divya Zindani, J. Paulo Davim
Название: Artificial intelligence in mechanical and industrial engineering /
ISBN: 0367441764 ISBN-13(EAN): 9780367441760
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book will cover the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.