Applications Of Artificial Intelligence And Machine Learning

Applications Of Artificial Intelligence And Machine Learning Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Applications Of Artificial Intelligence And Machine Learning book. This book definitely worth reading, it is an incredibly well-written.

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Publisher : Elsevier
Page : 542 pages
File Size : 42,5 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9780128217436

Get Book

Applications of Artificial Intelligence in Process Systems Engineering by Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong Pdf

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Applications of Artificial Intelligence and Machine Learning

Author : Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar
Publisher : Springer Nature
Page : 738 pages
File Size : 46,9 Mb
Release : 2021-07-27
Category : Computers
ISBN : 9789811630675

Get Book

Applications of Artificial Intelligence and Machine Learning by Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar Pdf

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.

The Application of Artificial Intelligence

Author : Zoltán Somogyi
Publisher : Springer Nature
Page : 448 pages
File Size : 47,7 Mb
Release : 2021-03-11
Category : Computers
ISBN : 9783030600327

Get Book

The Application of Artificial Intelligence by Zoltán Somogyi Pdf

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Author : Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
Publisher : Gulf Professional Publishing
Page : 324 pages
File Size : 43,8 Mb
Release : 2020-08-26
Category : Science
ISBN : 9780128223857

Get Book

Applications of Artificial Intelligence Techniques in the Petroleum Industry by Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie Pdf

Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input

Artificial Intelligence in Healthcare

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 42,6 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

Get Book

Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Application of Artificial Intelligence to Assessment

Author : Hong Jiao,Robert W. Lissitz
Publisher : IAP
Page : 223 pages
File Size : 43,9 Mb
Release : 2020-03-01
Category : Computers
ISBN : 9781641139533

Get Book

Application of Artificial Intelligence to Assessment by Hong Jiao,Robert W. Lissitz Pdf

The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.

Artificial Intelligence Applications in Information and Communication Technologies

Author : Yacine Laalaoui,Nizar Bouguila
Publisher : Springer
Page : 213 pages
File Size : 44,5 Mb
Release : 2015-07-04
Category : Technology & Engineering
ISBN : 9783319198330

Get Book

Artificial Intelligence Applications in Information and Communication Technologies by Yacine Laalaoui,Nizar Bouguila Pdf

This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems. The main aim of this book is to help Information and Communication Technologies (ICT) practitioners in managing efficiently their platforms using AI tools and methods and to provide them with sufficient Artificial Intelligence background to deal with real-life problems.

Empowering Artificial Intelligence Through Machine Learning

Author : Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn
Publisher : CRC Press
Page : 264 pages
File Size : 44,9 Mb
Release : 2022-06-16
Category : Computers
ISBN : 9781000089424

Get Book

Empowering Artificial Intelligence Through Machine Learning by Nedunchezhian Raju,M. Rajalakshmi,Dinesh Goyal,S. Balamurugan,Ahmed A. Elngar,Bright Kesawn Pdf

This new volume, Empowering Artificial intelligence Through Machine Learning: New Advances and Applications, discusses various new applications of machine learning, a subset of the field of artificial intelligence. Artificial intelligence is considered to be the next-big-game changer in research and technology, The volume looks at how computing has enabled machines to learn, making machine and tools become smarter in many sectors, including science and engineering, healthcare, finance, education, gaming, security, and even agriculture, plus many more areas. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine learning for credit card fraud detection, using artificial intelligence in education using gaming and automatization with courses and outcomes mapping, and much more. The book will be valuable to professionals, faculty, and students in electronics and communication engineering, telecommunication engineering, network engineering, computer science and information technology.

Applications of Artificial Intelligence in Additive Manufacturing

Author : Salunkhe, Sachin,Hussein, Hussein Mohammed Abdel Moneam,Davim, J. Paulo
Publisher : IGI Global
Page : 240 pages
File Size : 40,8 Mb
Release : 2021-12-31
Category : Technology & Engineering
ISBN : 9781799885184

Get Book

Applications of Artificial Intelligence in Additive Manufacturing by Salunkhe, Sachin,Hussein, Hussein Mohammed Abdel Moneam,Davim, J. Paulo Pdf

After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.

Risk Modeling

Author : Terisa Roberts,Stephen J. Tonna
Publisher : John Wiley & Sons
Page : 214 pages
File Size : 55,6 Mb
Release : 2022-09-20
Category : Business & Economics
ISBN : 9781119824947

Get Book

Risk Modeling by Terisa Roberts,Stephen J. Tonna Pdf

A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process. Authors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization's risk management model governance framework. This authoritative volume: Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques Covers the basic principles and nuances of feature engineering and common machine learning algorithms Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.

Machine Learning and Artificial Intelligence with Industrial Applications

Author : Diego Carou,Antonio Sartal,J. Paulo Davim
Publisher : Springer Nature
Page : 216 pages
File Size : 55,5 Mb
Release : 2022-03-11
Category : Technology & Engineering
ISBN : 9783030910068

Get Book

Machine Learning and Artificial Intelligence with Industrial Applications by Diego Carou,Antonio Sartal,J. Paulo Davim Pdf

This book presents the tools used in machine learning (ML) and the benefits of using such tools in facilities. It focus on real life business applications, explaining the most popular algorithms easily and clearly without the use of calculus or matrix/vector algebra. Replete with case studies, this book provides a working knowledge of ML current and future capabilities and the impact it will have on every business. It demonstrates that it is also possible to carry out successful ML and AI projects in any manufacturing plant, even without fully fulfilling the five V (Volume, Velocity, Variety, Veracity and Value) usually associated with big data. This book takes a closer look at how AI and ML are also able to work for industrial area, as well as how you could adapt some of the standard tips and techniques (usually for big data) for your own needs in your SME. Organizations which first understand these tools and know how to use them will benefit at the expense of their rivals.

Artificial Intelligence and Machine Learning Fundamentals

Author : Zsolt Nagy
Publisher : Packt Publishing Ltd
Page : 330 pages
File Size : 40,9 Mb
Release : 2018-12-12
Category : Computers
ISBN : 9781789809206

Get Book

Artificial Intelligence and Machine Learning Fundamentals by Zsolt Nagy Pdf

Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).

Emerging Artificial Intelligence Applications in Computer Engineering

Author : Ilias G. Maglogiannis
Publisher : IOS Press
Page : 420 pages
File Size : 52,5 Mb
Release : 2007
Category : Computers
ISBN : 9781586037802

Get Book

Emerging Artificial Intelligence Applications in Computer Engineering by Ilias G. Maglogiannis Pdf

Provides insights on how computer engineers can implement artificial intelligence (AI) in real world applications. This book presents practical applications of AI.

Systems Engineering and Artificial Intelligence

Author : William F. Lawless,Ranjeev Mittu,Donald A. Sofge,Thomas Shortell,Thomas A. McDermott
Publisher : Springer Nature
Page : 566 pages
File Size : 40,9 Mb
Release : 2021-11-02
Category : Computers
ISBN : 9783030772833

Get Book

Systems Engineering and Artificial Intelligence by William F. Lawless,Ranjeev Mittu,Donald A. Sofge,Thomas Shortell,Thomas A. McDermott Pdf

This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

Applications of Machine Learning and Artificial Intelligence in Education

Author : Seda Khadimally
Publisher : Information Science Reference
Page : 300 pages
File Size : 40,5 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 1799877760

Get Book

Applications of Machine Learning and Artificial Intelligence in Education by Seda Khadimally Pdf

Focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Topics covered include data coding and social networking technology.