Web Artificial Intelligence And Network Applications

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Web, Artificial Intelligence and Network Applications

Leonard Barolli,Makoto Takizawa,Fatos Xhafa,Tomoya Enokido
Web Artificial Intelligence and Network Applications Book PDF

Author : Leonard Barolli,Makoto Takizawa,Fatos Xhafa,Tomoya Enokido
Publisher : Springer
Page : 1172 pages
File Size : 46,9 Mb
Release : 2019-03-14
Category : Technology & Engineering
ISBN : 9783030150358

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Web, Artificial Intelligence and Network Applications by Leonard Barolli,Makoto Takizawa,Fatos Xhafa,Tomoya Enokido Pdf

The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.

Web, Artificial Intelligence and Network Applications

Leonard Barolli,Makoto Takizawa,Fatos Xhafa,Tomoya Enokido
Web Artificial Intelligence and Network Applications Book PDF

Author : Leonard Barolli,Makoto Takizawa,Fatos Xhafa,Tomoya Enokido
Publisher : Unknown
Page : 1172 pages
File Size : 50,7 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 3030150364

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Web, Artificial Intelligence and Network Applications by Leonard Barolli,Makoto Takizawa,Fatos Xhafa,Tomoya Enokido Pdf

The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today's prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.

Web, Artificial Intelligence and Network Applications

Leonard Barolli,Flora Amato,Francesco Moscato,Tomoya Enokido,Makoto Takizawa
Web Artificial Intelligence and Network Applications Book PDF

Author : Leonard Barolli,Flora Amato,Francesco Moscato,Tomoya Enokido,Makoto Takizawa
Publisher : Springer Nature
Page : 1487 pages
File Size : 50,5 Mb
Release : 2020-03-30
Category : Technology & Engineering
ISBN : 9783030440381

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Web, Artificial Intelligence and Network Applications by Leonard Barolli,Flora Amato,Francesco Moscato,Tomoya Enokido,Makoto Takizawa Pdf

This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work and react like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter "An Event-Driven Multi Agent System for Scalable Traffic Optimization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Intelligent Technologies for Web Applications

Priti Srinivas Sajja,Rajendra Akerkar
Intelligent Technologies for Web Applications Book PDF

Author : Priti Srinivas Sajja,Rajendra Akerkar
Publisher : CRC Press
Page : 371 pages
File Size : 41,7 Mb
Release : 2012-05-21
Category : Computers
ISBN : 9781439871621

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Intelligent Technologies for Web Applications by Priti Srinivas Sajja,Rajendra Akerkar Pdf

The Internet has become an integral part of human life, yet the web still utilizes mundane interfaces to the physical world, which makes Internet operations somewhat mechanical, tedious, and less human-oriented. Filling a large void in the literature, Intelligent Technologies for Web Applications is one of the first books to focus on providing vital fundamental and advanced guidance in the area of Web intelligence for beginners and researchers. The book covers techniques from diverse areas of research, including: Natural language processing Information extraction, retrieval, and filtering Knowledge representation and management Machine learning Databases Data, web, and text mining Human–computer interaction Semantic web technologies To develop effective and intelligent web applications and services, it is critical to discover useful knowledge through analyzing large amounts of content, hidden content structures, or usage patterns of web data resources. Intended to improve and reinforce problem-solving methods in this area, this book delves into the hybridization of artificial intelligence (AI) and web technologies to help simplify complex Web operations. It introduces readers to the state-of-the art development of web intelligence techniques and teaches how to apply these techniques to develop the next generation of intelligent Web applications. The book lays out presented projects, case studies, and innovative ideas, which readers can explore independently as standalone research projects. This material facilitates experimentation with the book’s content by including fundamental tools, research directions, practice questions, and additional reading.

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 : 47,5 Mb
Release : 2007
Category : Computers
ISBN : 9781586037802

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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 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 : 43,9 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374292

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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.

Deep Neural Network Applications

Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok
Deep Neural Network Applications Book PDF

Author : Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok
Publisher : CRC Press
Page : 158 pages
File Size : 47,6 Mb
Release : 2022-04-28
Category : Computers
ISBN : 9780429556203

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Deep Neural Network Applications by Hasmik Osipyan,Bosede Iyiade Edwards,Adrian David Cheok Pdf

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine that led to the widespread commercial use of driving machineries in the industries during the first industrial revolution; the internal combustion engine that gave rise to cars, trucks, and airplanes; electricity that caused the second industrial revolution through the discovery of direct and alternating current; and the Internet, which led to the emergence of the information age, AI is a transformational technology. It will cause a paradigm shift in the way’s problems are solved in every aspect of our lives, and, from it, innovative technologies will emerge. AI is the theory and development of machines that can imitate human intelligence in tasks such as visual perception, speech recognition, decision-making, and human language translation. This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence. Research overview includes reasoning approaches, problem solving, knowledge representation, planning, learning, natural language processing, perception, motion and manipulation, social intelligence and creativity. It will allow the reader to gain a deep and broad knowledge of the latest engineering technologies of AI and Deep Learning and is an excellent resource for academic research and industry applications.

Deploying Machine Learning

Robbie Allen
Deploying Machine Learning Book PDF

Author : Robbie Allen
Publisher : Addison-Wesley Professional
Page : 99998 pages
File Size : 55,6 Mb
Release : 2019-05
Category : Computers
ISBN : 0135226201

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Deploying Machine Learning by Robbie Allen Pdf

Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Roger Lee
Software Engineering Artificial Intelligence Networking and Parallel Distributed Computing Book PDF

Author : Roger Lee
Publisher : Springer
Page : 177 pages
File Size : 53,8 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9783319983677

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by Roger Lee Pdf

This edited book presents the scientific outcomes of the 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2018), which was held in Busan, Korea on June 27–29, 2018. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The book includes research findings on all aspects (theory, applications and tools) of computer and information science and discusses the practical challenges encountered along the way and the solutions adopted to respond to them. The book includes 13 of the conference’s most promising papers.

Computational Web Intelligence

Yan-Qing Zhang
Computational Web Intelligence Book PDF

Author : Yan-Qing Zhang
Publisher : World Scientific
Page : 584 pages
File Size : 50,7 Mb
Release : 2004
Category : Computers
ISBN : 9789812388278

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Computational Web Intelligence by Yan-Qing Zhang Pdf

- The book completely introduces the intelligent Web techniques based on soft computing, granular computing, computational intelligence, and Web technology for different intelligent Web applications - The first book to introduce the novel intelligent Web theory (computational Web intelligence) with many potential intelligent Web applications - The book introduces CWI techniques for currently hot and important applications such as Web security, Internet security, bioinformatics, Web search engines, Web mining, e-commerce, intelligent Web agents, etc.

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 : 51,6 Mb
Release : 2020-07-18
Category : Technology & Engineering
ISBN : 9783030539702

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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.

Edge Intelligence in the Making

Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
Edge Intelligence in the Making Book PDF

Author : Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
Publisher : Springer Nature
Page : 17 pages
File Size : 47,5 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031023804

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Edge Intelligence in the Making by Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang Pdf

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of edge computing and AI has resulted in innovative solutions, namely edge intelligence or edge AI. Nevertheless, research and practice on this emerging inter-disciplinary field is still in its infancy stage. To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. This emerging interdisciplinary field offers many open problems and yet also tremendous opportunities, and this book only touches the tip of iceberg. Hopefully, this book will elicit escalating attention, stimulate fruitful discussions, and open new directions on edge intelligence.

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 : 49,7 Mb
Release : 2021-06-05
Category : Technology & Engineering
ISBN : 9780128217436

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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

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Segall, Richard S.,Niu, Gao
Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning Book PDF

Author : Segall, Richard S.,Niu, Gao
Publisher : IGI Global
Page : 394 pages
File Size : 48,6 Mb
Release : 2022-01-07
Category : Computers
ISBN : 9781799884576

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Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning by Segall, Richard S.,Niu, Gao Pdf

During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.

AI and IoT for Smart City Applications

Vincenzo Piuri,Rabindra Nath Shaw,Ankush Ghosh,Rabiul Islam
AI and IoT for Smart City Applications Book PDF

Author : Vincenzo Piuri,Rabindra Nath Shaw,Ankush Ghosh,Rabiul Islam
Publisher : Springer Nature
Page : 241 pages
File Size : 42,7 Mb
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9789811674983

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AI and IoT for Smart City Applications by Vincenzo Piuri,Rabindra Nath Shaw,Ankush Ghosh,Rabiul Islam Pdf

This book provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.