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Artificial Intelligence In Research Methodology


Artificial Intelligence In Research Methodology
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Handbook Of Research On Artificial Intelligence Techniques And Algorithms


Handbook Of Research On Artificial Intelligence Techniques And Algorithms
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Author : Vasant, Pandian
language : en
Publisher: IGI Global
Release Date : 2014-11-30

Handbook Of Research On Artificial Intelligence Techniques And Algorithms written by Vasant, Pandian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Computers categories.


For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.



Artificial Intelligence In Research Methodology


Artificial Intelligence In Research Methodology
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Author : Ajay Prakash Pasupulla
language : en
Publisher: Sonzal publishers
Release Date :

Artificial Intelligence In Research Methodology written by Ajay Prakash Pasupulla and has been published by Sonzal publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Artificial Intelligence (AI) integration has become a revolutionary force in the constantly changing field of research technique, transforming inquiry and analytic paradigms. Artificial intelligence (AI) has a significant influence on research procedures in a wide range of disciplines, including the social sciences and natural sciences. This is because AI breaks through conventional limits and adds new dimensions to the investigative process. This introduction aims to guide the reader through the rapidly developing field of artificial intelligence (AI) and research, explaining the many ways that AI technologies have developed into vital resources for modern academics and researchers. The origins of artificial intelligence (AI) in research methods may be found in the extraordinary rise in data collection and accumulation, which was fueled by information digitalization and technical breakthroughs. Artificial Intelligence (AI), which offers unmatched skills in data processing, pattern recognition, and predictive modelling, emerged as a potent ally when conventional research tools and approaches failed to handle the sheer amount and complexity of data. The mutually beneficial association between artificial intelligence (AI) and research methodology stems from machine learning algorithms' capacity to identify significant patterns in large datasets, which empowers researchers to derive useful insights and arrive at well-informed conclusions. Furthermore, AI has an impact on every step of the research process, not just data analysis.Artificial Intelligence (AI) has become a crucial tool for researchers, helping with anything from creating research questions and planning experiments to automating literature reviews and producing hypotheses. Since the development of natural language processing (NLP), information can now be extracted from a wide range of textual sources, allowing academics to synthesise knowledge on a never-before-seen scale. This paradigm change not only speeds up the research process but also creates opportunities to investigate interdisciplinary relationships and promote a more comprehensive comprehension of complicated phenomena.



The Sage Encyclopedia Of Social Science Research Methods


The Sage Encyclopedia Of Social Science Research Methods
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Author : Michael Lewis-Beck
language : en
Publisher: SAGE
Release Date : 2004

The Sage Encyclopedia Of Social Science Research Methods written by Michael Lewis-Beck and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Reference categories.


"This defining work will be valuable to readers and researchers in social sciences and humanities at all academic levels. As a teaching resource it will be useful to instructors and students alike and will become a standard reference source. Essential for general and academic collections."--CHOICE"Appreciative users of this volume will be students, faculty, and researchers in academic, special, and large public libraries, for whom it is recommended."--LIBRARY JOURNALSAGE Reference is proud to announce The SAGE Encyclopedia of Social Science Research Methods, a three-volume resource that is a first of its kind, developed by the leading publisher of social science research methods books and journals. This unique multi-volume reference set offers readers an all-encompassing education in the ways of social science researchers. Written to be accessible to general readers, entries do not require any advanced knowledge or experience to understand the purposes and basic principles of any of the methods. The Encyclopedia features two major types of entries: definitions, consisting of a paragraph or two, provide a quick explanation of a methodological term; and topical treatments or essays discussing the nature, history, application/example and implication of using a certain method. Also included are suggested readings and references for future study. To help provide a more complete explanation than is often achieved within the scope of a single article, key terms and concepts appear in SMALL CAPITAL LETTERSto refer readers to related terms explained elsewhere. In addition to epistemological issues that influence the nature of research questions and assumptions, The SAGE Encyclopedia of Social Science Research Methods tackles topics not normally viewed as part of social science research methodology, from philosophical issues such as poststructuralismto advanced statistical techniques. In covering the full range of qualitative and quantitative data analyses, this key reference offers an integrated approach that allows the reader to choose the most appropriate and robust techniques to apply to each situation. Many entries treat traditional topics in a novel way, stimulating both interest and new perspectives. One example is the entry Econometrics, by Professor DamodarGujarati. Following a process which many educators preach but seldom practice, Gujarati walks the reader twice through the research process from economic theory to data and models to analysis, once in principle and a second time with an example. In using the ordinary process of economic research to achieve an extraordinary impact, he leaves the reader thinking not only about methods and models but also the fundamental purpose of econometrics. Topics Covered Analysis of Variance Association and Correlation Basic Qualitative Research Basic Statistics Causal Modeling (Structural Equations) Discourse/Conversation Analysis Econometrics Epistemology Ethnography Evaluation Event History Analysis Experimental Design Factor Analysis & Related Techniques Feminist Methodology Generalized Linear Models Historical/Comparative Interviewing in Qualitative Research Latent Variable Model Life History/Biography LoglinearModels (Categorical Dependent Variables) Longitudinal Analysis Mathematics and Formal Models Measurement Level Measurement Testing & Classification Multiple Regression Multilevel Analysis Qualitative Data Analysis Sampling in Surveys Sampling in Qualitative Research Scaling Significance Testing Simple Regression Survey Design Time Series Key Features Over 900 entries arranged A to Z Each entry is written by a leading authority in the field, covering both quantitative and qualitative methods Covers all disciplines within the social sciences Contains both concise definitions and in-depth essays Three volumes and more than 1500 pages



Artificial Intelligence In Society


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.



Handbook Of Research On Mixed Methods Research In Information Science


Handbook Of Research On Mixed Methods Research In Information Science
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Author : Patrick Ngulube
language : en
Publisher:
Release Date : 2022

Handbook Of Research On Mixed Methods Research In Information Science written by Patrick Ngulube and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Information science categories.


"Through the use of contributed chapters, this book text provides a deeper understanding of the use of mixed method research (MMR) when conducting research and contributes to the debate and assists researchers such as those from social science and information science to have a common understanding of MMR"--



Artificial Intelligence Concepts Methodologies Tools And Applications


Artificial Intelligence Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-12-12

Artificial Intelligence Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.


Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.



Artificial Intelligence Methods For Software Engineering


Artificial Intelligence Methods For Software Engineering
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Author : Meir Kalech
language : en
Publisher: World Scientific
Release Date : 2021-06-15

Artificial Intelligence Methods For Software Engineering written by Meir Kalech and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-15 with Computers categories.


Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)



Handbook Of Research On Advanced Research Methodologies For A Digital Society


Handbook Of Research On Advanced Research Methodologies For A Digital Society
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Author : Gabriella Punziano
language : en
Publisher: Information Science Reference
Release Date : 2021-12-31

Handbook Of Research On Advanced Research Methodologies For A Digital Society written by Gabriella Punziano and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with categories.


Doing research is an ever-changing challenge for social scientists. This challenge is harder than ever today as current societies are changing quickly and in many, sometimes conflicting, directions. Social phenomena, personal interactions, and formal and informal relationships are becoming more borderless and disconnected from the anchors of the offline "reality." These dynamics are heavily marking our time and are suggesting evolutionary challenges in the ways we know, interpret, and analyze the world. Internet and computer-mediated communication (CMC) is being incorporated into every aspect of daily life, and social life has been deeply penetrated by the internet. This is due to recent technological developments that increase the scope and range of online social spaces and the forms and time of participation such as Web 2.0, which widened the opportunities for user-generated content, the emergence of an "internet of things," and of ubiquitous mobile devices that make it possible to always be connected. This implies an adjustment to epistemological and methodological stances for conducting social research and an adaption of traditional social research methods to the specificities of online interactions in the digital society. The Handbook of Research on Advanced Research Methodologies for a Digital Society covers the different strands of methods most affected by the change in a digital society and develops a broader theoretical reflection on the future of social research in its challenge to always be fitting, suitable, adaptable, and pertinent to the society to be studied. The chapters are geared towards unlocking the future frontiers and potential for social research in the digital society. They include theoretical, epistemological, and ontological reflections about the digital research methods as well as innovative methods and tools to collect, analyze, and interpret data. This book is ideal for social scientists, practitioners, librarians, researchers, academicians, and students interested in social research methodology and its developments in the digital scenario.



Deterministic Artificial Intelligence


Deterministic Artificial Intelligence
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Author : Timothy Sands
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-05-27

Deterministic Artificial Intelligence written by Timothy Sands 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 2020-05-27 with Computers categories.


Kirchhoff’s laws give a mathematical description of electromechanics. Similarly, translational motion mechanics obey Newton’s laws, while rotational motion mechanics comply with Euler’s moment equations, a set of three nonlinear, coupled differential equations. Nonlinearities complicate the mathematical treatment of the seemingly simple action of rotating, and these complications lead to a robust lineage of research culminating here with a text on the ability to make rigid bodies in rotation become self-aware, and even learn. This book is meant for basic scientifically inclined readers commencing with a first chapter on the basics of stochastic artificial intelligence to bridge readers to very advanced topics of deterministic artificial intelligence, espoused in the book with applications to both electromechanics (e.g. the forced van der Pol equation) and also motion mechanics (i.e. Euler’s moment equations). The reader will learn how to bestow self-awareness and express optimal learning methods for the self-aware object (e.g. robot) that require no tuning and no interaction with humans for autonomous operation. The topics learned from reading this text will prepare students and faculty to investigate interesting problems of mechanics. It is the fondest hope of the editor and authors that readers enjoy the book.



The Economics Of Artificial Intelligence


The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-14

The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Business & Economics categories.


A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.