Artificial Intelligence And Online Engineering

Artificial Intelligence And Online Engineering 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 Artificial Intelligence And Online Engineering book. This book definitely worth reading, it is an incredibly well-written.

Artificial Intelligence and Online Engineering

Michael E. Auer,Samir A. El-Seoud,Omar H. Karam
Artificial Intelligence and Online Engineering Book PDF

Author : Michael E. Auer,Samir A. El-Seoud,Omar H. Karam
Publisher : Springer Nature
Page : 691 pages
File Size : 47,6 Mb
Release : 2022-10-14
Category : Technology & Engineering
ISBN : 9783031170911

Get Book

Artificial Intelligence and Online Engineering by Michael E. Auer,Samir A. El-Seoud,Omar H. Karam Pdf

Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with Internet of Things & Industrial Internet of Things (Industry 4.0), Online & Biomedical Engineering, Data Science, Machine Learning, and Artificial Intelligence, Cross & Mixed Reality, and Remote Working Environments. to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. Consequently, the motto of this year’s REV2022 was “Artificial Intelligence and Online Engineering”. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.

Emerging Artificial Intelligence Applications in Computer Engineering

Ilias G. Maglogiannis
Emerging Artificial Intelligence Applications in Computer Engineering Book PDF

Author : Ilias G. Maglogiannis
Publisher : IOS Press
Page : 420 pages
File Size : 49,7 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.

Artificial Intelligence and Industrial Applications

Tawfik Masrour,Ibtissam El Hassani,Anass Cherrafi
Artificial Intelligence and Industrial Applications Book PDF

Author : Tawfik Masrour,Ibtissam El Hassani,Anass Cherrafi
Publisher : Springer Nature
Page : 341 pages
File Size : 43,5 Mb
Release : 2020-07-18
Category : Technology & Engineering
ISBN : 9783030539702

Get Book

Artificial Intelligence and Industrial Applications by Tawfik Masrour,Ibtissam El Hassani,Anass Cherrafi Pdf

This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

Artificial Intelligence and Software Engineering

Derek Partridge
Artificial Intelligence and Software Engineering Book PDF

Author : Derek Partridge
Publisher : Routledge
Page : 296 pages
File Size : 47,8 Mb
Release : 2013-04-11
Category : Business & Economics
ISBN : 9781136594533

Get Book

Artificial Intelligence and Software Engineering by Derek Partridge Pdf

Managers, business owners, computer literate individuals, software developers, students, and researchers--all are looking for an understanding of artificial intelligence (AI) and what might be in the future. In this literate yet easy-to-read discussion, Derek Partridge explains what artificial intelligence can and cannot do, and what it holds for applications such as banking, financial services, and expert systems of all kinds. Topics include: the strengths and weaknesses of software development and engineering; machine learning and its promises and problems; expert systems and success stories; and practical software through artificial intelligence.

Computer Science and Artificial Intelligence

Panel on Computer Science and Artificial Intelligence,Commission on Physical Sciences, Mathematics, and Applications,Division on Engineering and Physical Sciences,National Research Council
Computer Science and Artificial Intelligence Book PDF

Author : Panel on Computer Science and Artificial Intelligence,Commission on Physical Sciences, Mathematics, and Applications,Division on Engineering and Physical Sciences,National Research Council
Publisher : National Academies Press
Page : 29 pages
File Size : 42,9 Mb
Release : 1997-06-24
Category : Computers
ISBN : 9780309590853

Get Book

Computer Science and Artificial Intelligence by Panel on Computer Science and Artificial Intelligence,Commission on Physical Sciences, Mathematics, and Applications,Division on Engineering and Physical Sciences,National Research Council Pdf

The focus of this report is on artificial intelligence (AI) and human-computer interface (HCI) technology. Observations, conclusions, and recommendations regarding AI and HCI are presented in terms of six grand challenge areas which serve to identify key scientific and engineering issues and opportunities. Chapter 1 presents the panel's definitions of these and related terms. Chapter 2 presents the panel's general observations and recommendations regarding AI and HCI. Finally, Chapter 3 discusses computer science, AI, and HCI in terms of the six selected "grand challenge" areas and three time horizons, that is, short term (within the next 2 years), midterm (2 to 6 years), and long term (more than 6 years from now) and presents additional recommendations in these areas.

Artificial Intelligence and Digital Systems Engineering

ADEDEJI. BADIRU
Artificial Intelligence and Digital Systems Engineering Book PDF

Author : ADEDEJI. BADIRU
Publisher : CRC Press
Page : 128 pages
File Size : 40,7 Mb
Release : 2021-08-06
Category : Electronic
ISBN : 0367545470

Get Book

Artificial Intelligence and Digital Systems Engineering by ADEDEJI. BADIRU Pdf

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. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Artificial Intelligence

David L. Poole,Alan K. Mackworth
Artificial Intelligence Book PDF

Author : David L. Poole,Alan K. Mackworth
Publisher : Cambridge University Press
Page : 821 pages
File Size : 53,5 Mb
Release : 2017-09-25
Category : Computers
ISBN : 9781107195394

Get Book

Artificial Intelligence by David L. Poole,Alan K. Mackworth Pdf

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Foundations of Data Science for Engineering Problem Solving

Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh
Foundations of Data Science for Engineering Problem Solving Book PDF

Author : Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh
Publisher : Springer Nature
Page : 125 pages
File Size : 41,7 Mb
Release : 2021-08-21
Category : Technology & Engineering
ISBN : 9789811651601

Get Book

Foundations of Data Science for Engineering Problem Solving by Parikshit Narendra Mahalle,Gitanjali Rahul Shinde,Priya Dudhale Pise,Jyoti Yogesh Deshmukh Pdf

This book is one-stop shop which offers essential information one must know and can implement in real-time business expansions to solve engineering problems in various disciplines. It will also help us to make future predictions and decisions using AI algorithms for engineering problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal with data science problems in multidisciplinary perspective. In the real world, data comes from various use cases, and there is a need of source specific data science models. Information is drawn from various platforms, channels, and sectors including web-based media, online business locales, medical services studies, and Internet. To understand the trends in the market, data science can take us through various scenarios. It takes help of artificial intelligence and machine learning techniques to design and optimize the algorithms. Big data modelling and visualization techniques of collected data play a vital role in the field of data science. This book targets the researchers from areas of artificial intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial intelligence in recent businesses.

Artificial Intelligence for the Internet of Health Things

K. Shankar,Eswaran Perumal,Deepak Gupta
Artificial Intelligence for the Internet of Health Things Book PDF

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 216 pages
File Size : 53,9 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374292

Get Book

Artificial Intelligence for the Internet of Health Things by K. Shankar,Eswaran Perumal,Deepak Gupta Pdf

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Software Engineering: Artificial Intelligence, Compliance, and Security

Brian D'Andrade
Software Engineering Artificial Intelligence Compliance and Security Book PDF

Author : Brian D'Andrade
Publisher : Unknown
Page : 128 pages
File Size : 53,9 Mb
Release : 2021-02-16
Category : Electronic
ISBN : 1536189898

Get Book

Software Engineering: Artificial Intelligence, Compliance, and Security by Brian D'Andrade Pdf

Information security is important in every aspect of daily life. This book examines four areas where risks are present: artificial intelligence (AI), the internet of things (IoT), government and malware. The authors channel their experience and research into an accessible body of knowledge for consideration by professionals.AI is introduced as a tool for healthcare, security and innovation. The advantages of using AI in new industries are highlighted in the context of recent developments in mechanical engineering, and a survey of AI software risks is presented focusing on well-publicized failures and US FDA regulatory guidelines.The risks associated with the billions of devices that form the IoT grow with the availability of such devices in consumer products, healthcare, energy infrastructure and transportation. The risks, software engineering risk mitigation methods and standards promoting a level of care for the manufacture of IoT devices are examined because of their importance for software developers.Strategic insights for software developers looking to do business with the US federal government are presented, considering threats to both public and private sectors as well as governmental priorities from recent executive and legislative branch actions.Finally, an analysis of malicious software that infects numerous computer systems each day and causes millions of dollars in damages every year is presented. Malicious software, or "malware," is software designed with hostile intent, but the damage may be mitigated with static and dynamic analyses, which are processes for studying how malware operates and analyzing potential impacts.

The Artificial Intelligence Infrastructure Workshop

Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S.
The Artificial Intelligence Infrastructure Workshop Book PDF

Author : Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S.
Publisher : Packt Publishing Ltd
Page : 731 pages
File Size : 44,8 Mb
Release : 2020-08-17
Category : Computers
ISBN : 9781800206991

Get Book

The Artificial Intelligence Infrastructure Workshop by Chinmay Arankalle,Gareth Dwyer,Bas Geerdink,Kunal Gera,Kevin Liao,Anand N.S. Pdf

Explore how a data storage system works – from data ingestion to representation Key FeaturesUnderstand how artificial intelligence, machine learning, and deep learning are different from one anotherDiscover the data storage requirements of different AI apps using case studiesExplore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3)Book Description Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods. What you will learnGet to grips with the fundamentals of artificial intelligenceUnderstand the importance of data storage and architecture in AI applicationsBuild data storage and workflow management systems with open source toolsContainerize your AI applications with tools such as DockerDiscover commonly used data storage solutions and best practices for AI on Amazon Web Services (AWS)Use the AWS CLI and AWS SDK to perform common data tasksWho this book is for If you are looking to develop the data storage skills needed for machine learning and AI and want to learn AI best practices in data engineering, this workshop is for you. Experienced programmers can use this book to advance their career in AI. Familiarity with programming, along with knowledge of exploratory data analysis and reading and writing files using Python will help you to understand the key concepts covered.

Applications of Artificial Intelligence in Process Systems Engineering

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

Author : Jingzheng Ren,Weifeng Shen,Yi Man,Lichun Dong
Publisher : Elsevier
Page : 542 pages
File Size : 48,8 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

Online Engineering and Society 4.0

Michael E. Auer,Kalyan Ram Bhimavaram,Xiao-Guang Yue
Online Engineering and Society 4 0 Book PDF

Author : Michael E. Auer,Kalyan Ram Bhimavaram,Xiao-Guang Yue
Publisher : Springer Nature
Page : 584 pages
File Size : 42,8 Mb
Release : 2021-09-19
Category : Technology & Engineering
ISBN : 9783030825294

Get Book

Online Engineering and Society 4.0 by Michael E. Auer,Kalyan Ram Bhimavaram,Xiao-Guang Yue Pdf

This book presents the general objective of the REV2021 conference which is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation, and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects. Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparably connected, for example, with Internet of Things, Industry 4.0 & Industrial Internet of Things, Cloud Technologies, Data Science, Cross & Mixed Reality, Remote Working Environments, Online & Biomedical Engineering, to name only a few. Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it. In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources. REV2021 on "Online Engineering and Society 4.0" was the 17th in a series of annual events concerning the area of Remote Engineering and Virtual Instrumentation. It has been organized in cooperation with the International Engineering and Technology Institute (IETI) as an online event from February 24 to 26, 2021.

Artificial Intelligence in Mechanical and Industrial Engineering

Kaushik Kumar,Divya Zindani,J. Paulo Davim
Artificial Intelligence in Mechanical and Industrial Engineering Book PDF

Author : Kaushik Kumar,Divya Zindani,J. Paulo Davim
Publisher : CRC Press
Page : 157 pages
File Size : 53,9 Mb
Release : 2021-06-20
Category : Computers
ISBN : 9781000396935

Get Book

Artificial Intelligence in Mechanical and Industrial Engineering by Kaushik Kumar,Divya Zindani,J. Paulo Davim Pdf

Artificial Intelligence in Mechanical and Industrial Engineering 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 covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

Artificial Intelligence with Python

Prateek Joshi
Artificial Intelligence with Python Book PDF

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
Page : 437 pages
File Size : 43,9 Mb
Release : 2017-01-27
Category : Computers
ISBN : 9781786469670

Get Book

Artificial Intelligence with Python by Prateek Joshi Pdf

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.