Advances In Artificial Intelligence Computation And Data Science

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Advances in Artificial Intelligence, Computation, and Data Science

Author : Tuan D. Pham
Publisher : Springer Nature
ISBN 13 : 303069951X
Total Pages : 373 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Advances in Artificial Intelligence, Computation, and Data Science by : Tuan D. Pham

Download or read book Advances in Artificial Intelligence, Computation, and Data Science written by Tuan D. Pham and published by Springer Nature. This book was released on 2021-07-12 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Artificial Intelligence and Data Engineering

Author : Niranjan N. Chiplunkar
Publisher : Springer Nature
ISBN 13 : 9811535140
Total Pages : 1456 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Artificial Intelligence and Data Engineering by : Niranjan N. Chiplunkar

Download or read book Advances in Artificial Intelligence and Data Engineering written by Niranjan N. Chiplunkar and published by Springer Nature. This book was released on 2020-08-13 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Machine Learning and Data Science

Author : Damodar Reddy Edla
Publisher : Springer
ISBN 13 : 9811085692
Total Pages : 380 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Advances in Machine Learning and Data Science by : Damodar Reddy Edla

Download or read book Advances in Machine Learning and Data Science written by Damodar Reddy Edla and published by Springer. This book was released on 2018-05-16 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we find many computer programs that exhibit various useful learning methods and commercial applications. Goal of machine learning is to develop computer programs that can learn from experience. Machine learning involves knowledge from various disciplines like, statistics, information theory, artificial intelligence, computational complexity, cognitive science and biology. For problems like handwriting recognition, algorithms that are based on machine learning out perform all other approaches. Both machine learning and data science are interrelated. Data science is an umbrella term to be used for techniques that clean data and extract useful information from data. In field of data science, machine learning algorithms are used frequently to identify valuable knowledge from commercial databases containing records of different industries, financial transactions, medical records, etc. The main objective of this book is to provide an overview on latest advancements in the field of machine learning and data science, with solutions to problems in field of image, video, data and graph processing, pattern recognition, data structuring, data clustering, pattern mining, association rule based approaches, feature extraction techniques, neural networks, bio inspired learning and various machine learning algorithms.

Recent Advances in Artificial Intelligence and Data Engineering

Author : Pushparaj Shetty D.
Publisher : Springer Nature
ISBN 13 : 9811633428
Total Pages : 454 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Recent Advances in Artificial Intelligence and Data Engineering by : Pushparaj Shetty D.

Download or read book Recent Advances in Artificial Intelligence and Data Engineering written by Pushparaj Shetty D. and published by Springer Nature. This book was released on 2021-10-31 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modern Artificial Intelligence and Data Science

Author : Abdellah Idrissi
Publisher : Springer Nature
ISBN 13 : 3031333098
Total Pages : 321 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Modern Artificial Intelligence and Data Science by : Abdellah Idrissi

Download or read book Modern Artificial Intelligence and Data Science written by Abdellah Idrissi and published by Springer Nature. This book was released on 2023-08-25 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Sciences and Artificial Intelligence in Industry

Author : Tero Tuovinen
Publisher : Springer Nature
ISBN 13 : 3030707873
Total Pages : 278 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Computational Sciences and Artificial Intelligence in Industry by : Tero Tuovinen

Download or read book Computational Sciences and Artificial Intelligence in Industry written by Tero Tuovinen and published by Springer Nature. This book was released on 2021-08-19 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

Applications of Computational Science in Artificial Intelligence

Author : Nayyar, Anand
Publisher : IGI Global
ISBN 13 : 1799890147
Total Pages : 284 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Computational Science in Artificial Intelligence by : Nayyar, Anand

Download or read book Applications of Computational Science in Artificial Intelligence written by Nayyar, Anand and published by IGI Global. This book was released on 2022-04-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.

Recent Developments in Data Science and Intelligent Analysis of Information

Author : Oleg Chertov
Publisher : Springer
ISBN 13 : 3319978853
Total Pages : 384 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Recent Developments in Data Science and Intelligent Analysis of Information by : Oleg Chertov

Download or read book Recent Developments in Data Science and Intelligent Analysis of Information written by Oleg Chertov and published by Springer. This book was released on 2018-08-04 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to reflect the broadening of its scope and the composition of its organizers and participants. ICDSIAI'2018 brought together a large number of participants from numerous countries in Europe, Asia and the USA. The papers presented addressed novel theoretical developments in methods, algorithms and implementations for the broadly perceived areas of big data mining and intelligent analysis of data and information, representation and processing of uncertainty and fuzziness, including contributions on a range of applications in the fields of decision-making and decision support, economics, education, ecology, law, and various areas of technology. The book is dedicated to the memory of the conference founder, the late Professor Tetiana Taran, an outstanding scientist in the field of artificial intelligence whose research record, vision and personality have greatly contributed to the development of Ukrainian artificial intelligence and computer science.

Machine Learning Paradigms

Author : Maria Virvou
Publisher : Springer
ISBN 13 : 3030137430
Total Pages : 223 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Machine Learning Paradigms by : Maria Virvou

Download or read book Machine Learning Paradigms written by Maria Virvou and published by Springer. This book was released on 2019-03-16 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including: • Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation; • Using learning analytics to predict student performance; • Using learning analytics to create learning materials and educational courses; and • Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning. The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.

Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020)

Download Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) PDF Online Free

Author : Zhong Li
Publisher : World Scientific
ISBN 13 : 9811223343
Total Pages : 1588 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) by : Zhong Li

Download or read book Developments Of Artificial Intelligence Technologies In Computation And Robotics - Proceedings Of The 14th International Flins Conference (Flins 2020) written by Zhong Li and published by World Scientific. This book was released on 2020-08-04 with total page 1588 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Advances in Data Science: Methodologies and Applications

Author : Gloria Phillips-Wren
Publisher : Springer Nature
ISBN 13 : 3030518701
Total Pages : 333 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Advances in Data Science: Methodologies and Applications by : Gloria Phillips-Wren

Download or read book Advances in Data Science: Methodologies and Applications written by Gloria Phillips-Wren and published by Springer Nature. This book was released on 2020-08-26 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Data Science and Information Engineering

Author : Robert Stahlbock
Publisher : Springer Nature
ISBN 13 : 3030717046
Total Pages : 965 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Data Science and Information Engineering by : Robert Stahlbock

Download or read book Advances in Data Science and Information Engineering written by Robert Stahlbock and published by Springer Nature. This book was released on 2021-10-29 with total page 965 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.

Smarter Data Science

Author : Neal Fishman
Publisher : John Wiley & Sons
ISBN 13 : 111969342X
Total Pages : 374 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Smarter Data Science by : Neal Fishman

Download or read book Smarter Data Science written by Neal Fishman and published by John Wiley & Sons. This book was released on 2020-04-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

Machine Learning and Data Science

Author : Prateek Agrawal
Publisher : John Wiley & Sons
ISBN 13 : 1119775612
Total Pages : 276 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Machine Learning and Data Science by : Prateek Agrawal

Download or read book Machine Learning and Data Science written by Prateek Agrawal and published by John Wiley & Sons. This book was released on 2022-08-09 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances on Intelligent Computing and Data Science

Author : Faisal Saeed
Publisher : Springer Nature
ISBN 13 : 3031362586
Total Pages : 705 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advances on Intelligent Computing and Data Science by : Faisal Saeed

Download or read book Advances on Intelligent Computing and Data Science written by Faisal Saeed and published by Springer Nature. This book was released on 2023-08-16 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the papers included in the proceedings of the 3rd International Conference of Advanced Computing and Informatics (ICACin’22) that was held in Casablanca, Morocco, on October 15–16, 2022. A total of 98 papers were submitted to the conference, but only 60 papers were accepted and published in this book with an acceptance rate of 61%. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT) and smart cities, information security, cloud computing and networking, and computational informatics.

Enabling AI Applications in Data Science

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030520676
Total Pages : 644 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Enabling AI Applications in Data Science by : Aboul-Ella Hassanien

Download or read book Enabling AI Applications in Data Science written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2020-09-23 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main nucleus of data science. This book aims to provide the latest research findings in the field of artificial intelligence with data science.

Advanced Artificial Intelligence (Second Edition)

Author : Shi Zhongzhi
Publisher : World Scientific
ISBN 13 : 9811200890
Total Pages : 596 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Advanced Artificial Intelligence (Second Edition) by : Shi Zhongzhi

Download or read book Advanced Artificial Intelligence (Second Edition) written by Shi Zhongzhi and published by World Scientific. This book was released on 2019-08-05 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.