Recent Advances In Artificial Intelligence And Data Engineering

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Advances in Artificial Intelligence and Data Engineering

Anonim
Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 40,8 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 9811535159

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Advances in Artificial Intelligence and Data Engineering by Anonim Pdf

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Recent Advances in Artificial Intelligence and Data Engineering

Pushparaj Shetty D.,Surendra Shetty
Recent Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Pushparaj Shetty D.,Surendra Shetty
Publisher : Springer Nature
Page : 454 pages
File Size : 55,5 Mb
Release : 2021-10-31
Category : Computers
ISBN : 9789811633423

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Recent Advances in Artificial Intelligence and Data Engineering by Pushparaj Shetty D.,Surendra Shetty Pdf

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

Advances in Artificial Intelligence and Data Engineering

Niranjan N. Chiplunkar,Takanori Fukao
Advances in Artificial Intelligence and Data Engineering Book PDF

Author : Niranjan N. Chiplunkar,Takanori Fukao
Publisher : Springer Nature
Page : 1456 pages
File Size : 43,5 Mb
Release : 2020-08-13
Category : Technology & Engineering
ISBN : 9789811535147

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Advances in Artificial Intelligence and Data Engineering by Niranjan N. Chiplunkar,Takanori Fukao Pdf

This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Artificial Intelligence and Multimedia Data Engineering

Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran
Artificial Intelligence and Multimedia Data Engineering Book PDF

Author : Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran
Publisher : Bentham Science Publishers
Page : 134 pages
File Size : 43,9 Mb
Release : 2023-12-15
Category : Computers
ISBN : 9789815196450

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Artificial Intelligence and Multimedia Data Engineering by Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran Pdf

This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications

Recent Advances in Artificial Intelligence Research and Development

Jordi Vitrià,Petia Radeva,Isabel Aguiló
Recent Advances in Artificial Intelligence Research and Development Book PDF

Author : Jordi Vitrià,Petia Radeva,Isabel Aguiló
Publisher : IOS Press
Page : 468 pages
File Size : 52,8 Mb
Release : 2004
Category : Computers
ISBN : 1586034669

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Recent Advances in Artificial Intelligence Research and Development by Jordi Vitrià,Petia Radeva,Isabel Aguiló Pdf

Artificial Intelligence (AI) is a scientific field of longstanding tradition, with origins in the early years of computer science. Today AI has reached a level of maturity that allows us to build highly sophisticated systems which perform very different tasks. Nevertheless, its evolution has opened up a number of new problems, ranging from specific algorithms to system integration, which remain elusive and assure a long life for this research field. Research progress in this area is today an international challenge that must be supported by world-class meetings and organizations, but in spite of this fact, there is also an objective need for meetings and organizations that support and disseminate research at other levels. This book focuses on new and original research on Artificial Intelligence.

Modern Artificial Intelligence and Data Science

Abdellah Idrissi
Modern Artificial Intelligence and Data Science Book PDF

Author : Abdellah Idrissi
Publisher : Springer Nature
Page : 321 pages
File Size : 55,5 Mb
Release : 2023-08-25
Category : Computers
ISBN : 9783031333095

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Modern Artificial Intelligence and Data Science by Abdellah Idrissi Pdf

This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Recent Trends and Advances in Artificial Intelligence and Internet of Things Book PDF

Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publisher : Springer Nature
Page : 618 pages
File Size : 40,6 Mb
Release : 2019-11-19
Category : Technology & Engineering
ISBN : 9783030326449

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Recent Trends and Advances in Artificial Intelligence and Internet of Things by Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava Pdf

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering

Goncalo Marques,Joshua O. Ighalo
Current Trends and Advances in Computer Aided Intelligent Environmental Data Engineering Book PDF

Author : Goncalo Marques,Joshua O. Ighalo
Publisher : Academic Press
Page : 475 pages
File Size : 54,9 Mb
Release : 2022-03-20
Category : Computers
ISBN : 9780323855983

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Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering by Goncalo Marques,Joshua O. Ighalo Pdf

Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in actual environmental scenarios Offers a compilation of essential and critical reviews on the application of data science and artificial intelligence to the entire spectrum of environmental engineering

Advances in Artificial Intelligence, Computation, and Data Science

Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg
Advances in Artificial Intelligence Computation and Data Science Book PDF

Author : Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg
Publisher : Springer Nature
Page : 373 pages
File Size : 41,9 Mb
Release : 2021-07-12
Category : Science
ISBN : 9783030699512

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Advances in Artificial Intelligence, Computation, and Data Science by Tuan D. Pham,Hong Yan,Muhammad W. Ashraf,Folke Sjöberg Pdf

Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity—in both time and memory requirements—for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.

Advances in Data Science: Methodologies and Applications

Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
Advances in Data Science Methodologies and Applications Book PDF

Author : Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain
Publisher : Springer Nature
Page : 333 pages
File Size : 41,7 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9783030518707

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Advances in Data Science: Methodologies and Applications by Gloria Phillips-Wren,Anna Esposito,Lakhmi C. Jain Pdf

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.

Machine Learning and Data Science

Prateek Agrawal,Charu Gupta,Anand Sharma,Vishu Madaan,Nisheeth Joshi
Machine Learning and Data Science Book PDF

Author : Prateek Agrawal,Charu Gupta,Anand Sharma,Vishu Madaan,Nisheeth Joshi
Publisher : John Wiley & Sons
Page : 276 pages
File Size : 46,9 Mb
Release : 2022-08-09
Category : Computers
ISBN : 9781119775614

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Machine Learning and Data Science by Prateek Agrawal,Charu Gupta,Anand Sharma,Vishu Madaan,Nisheeth Joshi Pdf

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

Intelligent Data Engineering and Automated Learning – IDEAL 2020

Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
Intelligent Data Engineering and Automated Learning IDEAL 2020 Book PDF

Author : Cesar Analide,Paulo Novais,David Camacho,Hujun Yin
Publisher : Springer Nature
Page : 633 pages
File Size : 45,8 Mb
Release : 2020-10-29
Category : Computers
ISBN : 9783030623654

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Intelligent Data Engineering and Automated Learning – IDEAL 2020 by Cesar Analide,Paulo Novais,David Camacho,Hujun Yin Pdf

This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Recent Advances in Artificial Intelligence Research and Development

I. Aguiló,R. Alquézar,C. Angulo
Recent Advances in Artificial Intelligence Research and Development Book PDF

Author : I. Aguiló,R. Alquézar,C. Angulo
Publisher : IOS Press
Page : 312 pages
File Size : 53,9 Mb
Release : 2017-10-25
Category : Computers
ISBN : 9781614998068

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Recent Advances in Artificial Intelligence Research and Development by I. Aguiló,R. Alquézar,C. Angulo Pdf

Artificial intelligence in all its forms is increasingly interwoven into all our lives, and remains one of the most lively areas of discussion and interest in technology today. This book presents the proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence (CCIA’2017): ‘Recent Advances in Artificial Intelligence Research and Development’, held in Deltebre, Terres de l'Ebre, Spain, in October 2017. Despite its title, this annual conference is not only for researchers from the Catalan Countries, but is an international event which attracts participants from countries all around the world. In total, 41 original contributions were submitted to CCIA’2017. Of these, 21 were accepted as long papers for oral presentation and 13 were accepted as short papers to be presented as posters. These 34 submissions appear in this book organized around a number of different topics including: agents and multi-agent systems; artificial vision and image processing; machine learning; artificial neural networks; cognitive modeling; fuzzy logic and reasoning; robotics; and AI applications. The book also includes abstracts of the 3 presentations by invited speakers. The book offers a representative sample of the current state of the art in the artificial intelligence community, and will be of interest to all those working with AI worldwide.

Advances in Artificial Systems for Medicine and Education V

Zhengbing Hu,Sergey Petoukhov,Matthew He
Advances in Artificial Systems for Medicine and Education V Book PDF

Author : Zhengbing Hu,Sergey Petoukhov,Matthew He
Publisher : Springer Nature
Page : 566 pages
File Size : 44,7 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030925376

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Advances in Artificial Systems for Medicine and Education V by Zhengbing Hu,Sergey Petoukhov,Matthew He Pdf

This book broadly covers a scope of the latest advances for the development of artificial intelligence systems and their applications in various fields from medicine and technology to education. The proceedings comprise refereed papers presented at the Fifth International Conference of Artificial Intelligence, Medical Engineering, and Education (AIMEE2021), which took place at the Mechanical Engineering Institute of the Russian Academy of Sciences, Moscow, Russia, on 1–3 October 2021. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in medical engineering to increase the effectiveness of medical diagnosing and treatment. In digital artificial intelligence systems, scientists endeavour to reproduce the innate intellectual abilities of humans and other organisms, and the in-depth study of genetic systems and inherited biological processes can provide new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and biomathematics; medical approaches; technological and educational approaches. The book is a compilation of cutting-edge research papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students who are interested in artificial intelligence, bioinformatics systems, also their expanding applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Recent Advances in Data and Algorithms for e-Government

Christophe Gaie,Mayuri Mehta
Recent Advances in Data and Algorithms for e Government Book PDF

Author : Christophe Gaie,Mayuri Mehta
Publisher : Springer Nature
Page : 244 pages
File Size : 50,6 Mb
Release : 2023-03-01
Category : Computers
ISBN : 9783031224089

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Recent Advances in Data and Algorithms for e-Government by Christophe Gaie,Mayuri Mehta Pdf

This book presents new trends to optimize e-Government in various contexts. It aims to highlight new methods and approaches that unveil the potential of data for public services. The book also illustrates how public services can be mathematically modeled with many case studies. Then, algorithms are proposed to optimize their functioning and to better contribute to the general interest, such as education, health care, safety, security, or culture. The book also focuses on protecting citizens' personal data and obtaining their explicit consent. The book is suitable for students and academics aiming to build up their background on the usage of data and algorithms through various techniques, including artificial intelligence. The book is used as a reference book for teaching a graduate course on e-Government, Process Modeling, or Artificial Intelligence. Besides its use in academia, this book is used by civil servants of every domain and citizens who aim to understand the ongoing modernization of public services.