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Computational Statistical Methodologies and Modeling for Artificial Intelligence, Priyanka Harjule, Azizur Rahman, Basant


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Автор: Priyanka Harjule, Azizur Rahman, Basant   (Приянка Харджуле)
Название:  Computational Statistical Methodologies and Modeling for Artificial Intelligence
Перевод названия: Приянка Харджуле: Вычислительно-статистические методологии и моделирование для искусственного интелл
ISBN: 9781032170800
Издательство: Taylor&Francis
Классификация:









ISBN-10: 1032170808
Обложка/Формат: Hardback
Страницы: 360
Вес: 0.69 кг.
Дата издания: 31.03.2023
Серия: Edge ai in future computing
Иллюстрации: 54 tables, black and white; 40 line drawings, black and white; 125 halftones, black and white; 165 illustrations, black and white
Размер: 240 x 164 x 26
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence.

It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are:Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial IntelligenceExamines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applicationsExamines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionalsProvides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fieldsIntegrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence




Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Автор: Maosong Sun, Xiaojie Wang, Baobao Chang
Название: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
ISBN: 3319690043 ISBN-13(EAN): 9783319690049
Издательство: Springer
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Цена: 5300.00 р.
Наличие на складе: Есть (3 шт.)
Описание: This book constitutes the proceedings of the 16th China National Conference on Computational Linguistics, CCL 2017, and the 5th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2017, held in Nanjing, China, in October 2017. Minority language information processing.

Virtual and Augmented Reality in Education, Art, and Museums, Igi global. ISBN 9781799817963

Автор: Giuliana Guazzaroni, Anitha S. Pillai
Название: Virtual and Augmented Reality in Education, Art, and Museums, Igi global. ISBN 9781799817963
ISBN: 1799817962 ISBN-13(EAN): 9781799817963
Издательство: Mare Nostrum (Eurospan)
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Цена: 28215.00 р.
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Описание: Explores the strategic role and use of virtual and augmented reality in shaping visitor experiences at art galleries and museums and their ability to enhance education. The book highlights a range of topics such as online learning, digital heritage, and gaming.

Artificial Intelligence Systems Based on Hybrid Neural Networks

Автор: M Z Zhurovskyi; Victor Sineglazov; Elena Chum
Название: Artificial Intelligence Systems Based on Hybrid Neural Networks
ISBN: 3030484521 ISBN-13(EAN): 9783030484521
Издательство: Springer
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Цена: 22359.00 р.
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Описание: It is will also appeal to a wide range of readers interested in expanding the functionality of artificial intelligence systems. One of the pressing problems of modern artificial intelligence systems is the development of integrated hybrid systems based on deep learning.

Artificial intelligence, machine learning, and data science technologies :

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: 22202.00 р.
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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.

Simulation and Modeling Methodologies, Technologies and Applications

Автор: Mohammad S. Obaidat; Slawomir Koziel; Janusz Kacpr
Название: Simulation and Modeling Methodologies, Technologies and Applications
ISBN: 3319114565 ISBN-13(EAN): 9783319114569
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Context-Aware Decision Support in Dynamic Environments: Theoretical & Technological Foundations.- Creating Hybrid Simulation Systems using a Flexible Meta Data Approach.- Simulation of Real-time Multiprocessor Scheduling using DES.- Epidemics and their Implications in Urban Environments: A Case Study on a National Scope.- Hybrid Multilinear Modeling and Applications.- Modeling Interdependent Socio-technical Networks: The Smart Grid - An Agent-based Modeling Approach.- A Heuristic Bidding Price Decision Algorithm based on Cost Estimation Accuracy under Limited Engineering Man-hours in EPC Projects.- Intelligent Agents for Human Behavior Modeling as Support to Operations.- Alternative to Multifractal Analysis of Scalable Intermittent Variables Applied to Measured and Estimated Soil Properties at an Arizona Field Site.- Adaptive Neuro Fuzzy Inference System used to Build Models with Uncertain Data: Study Case for Rainfed Maize in the State of Puebla (Mexico).- Separation of Carbon Dioxide from Synthesis Gas Containing Steam by Pressure Swing Adsorption at Mid-high Temperature.- Fuzzy Climate Scenarios for Temperature Indicate that Things could be Worse than Previously Thought.- Efficient Design of Inline E-Plane Waveguide Extracted Pole Filters through Enhanced Equivalent Circuits and Space Mapping.- Decomposition and Space Mapping for Reduced-cost Modeling of Waveguide Filters.- Quasi-Monte Carlo and RBF Metamodeling for Quantile Estimation in River Bed Morphodynamics.- Multi-objective Optimization by using Modified PSO Algorithm for Axial Flow Pump Impeller.- Emergency Department.

Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells

Автор: Greg Conradi Smith
Название: Cellular Biophysics and Modeling: A Primer on the Computational Biology of Excitable Cells
ISBN: 1107005361 ISBN-13(EAN): 9781107005365
Издательство: Cambridge Academ
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Цена: 15046.00 р.
Наличие на складе: Поставка под заказ.

Описание: What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Emotion Modeling

Автор: Tibor Bosse; Joost Broekens; Jo?o Dias; Janneke va
Название: Emotion Modeling
ISBN: 3319129724 ISBN-13(EAN): 9783319129723
Издательство: Springer
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Цена: 5590.00 р.
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Описание: From Habits to Standards: Towards Systematic Design of Emotion Models and Affective Architectures.- Creating a World for Socio-Cultural Agents.- FAtiMA Modular: Towards an Agent Architecture with a Generic Appraisal Framework.- Programming Agents with Emotions.- Utilizing Emotions in Autonomous Robots: An Enactive Approach.- The Effect of Dominance Manipulation on the Perception and Believability of an Emotional Expression.- Modelling Two Emotion Regulation Strategies as Key Features of Therapeutic Empathy.- Social Support Strategies for Embodied Conversational Agents.- Affective Processes as Network Hubs.

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)
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Цена: 29779.00 р.
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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.

We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Artificial intelligence for computational modeling of the heart

Автор: Mansi, Tommaso Passerini, Tiziano
Название: Artificial intelligence for computational modeling of the heart
ISBN: 012817594X ISBN-13(EAN): 9780128175941
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

Artificial Intelligence for Computational Modeling of the Heart presents recent research developments towards streamlined and automatic estimation of the digital twin of a patient's heart by combining computational modeling of heart physiology and artificial intelligence. The book first introduces the major aspects of multi-scale modeling of the heart, along with the compromises needed to achieve subject-specific simulations. Reader will then learn how AI technologies can unlock robust estimations of cardiac anatomy, obtain meta-models for real-time biophysical computations, and estimate model parameters from routine clinical data. Concepts are all illustrated through concrete clinical applications.

  • Presents recent advances in computational modeling of heart function and artificial intelligence technologies for subject-specific applications
  • Discusses AI-based technologies for robust anatomical modeling from medical images, data-driven reduction of multi-scale cardiac models, and estimations of physiological parameters from clinical data
  • Illustrates the technology through concrete clinical applications and discusses potential impacts and next steps needed for clinical translation
Novel Design and Applications of Robotics Technologies

Автор: Dan Zhang, Bin Wei
Название: Novel Design and Applications of Robotics Technologies
ISBN: 1522552766 ISBN-13(EAN): 9781522552765
Издательство: Mare Nostrum (Eurospan)
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Цена: 29938.00 р.
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Описание: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medical, social services, and agriculture. Providing successful techniques in robotic design allows for increased autonomous mobility, which leads to a greater productivity level.Novel Design and Applications of Robotics Technologies provides innovative insights into the state-of-the-art technologies in the design and development of robotic technologies and their real-world applications. The content within this publication represents the work of interactive learning, microrobot swarms, and service robots. It is a vital reference source for computer engineers, robotic developers, IT professionals, academicians, and researchers seeking coverage on topics centered on the application of robotics to perform tasks in various disciplines.

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: 20446.00 р.
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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.


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