Proceedings Of The 19th International Conference On Computing And Information Technology Ic2it 2023

Author : Phayung Meesad
Publisher :
ISBN 13 : 9783031304750
Total Pages : 0 pages
Book Rating : 4.56/5 ( download)

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Download or read book Proceedings of the 19th International Conference on Computing and Information Technology (IC2IT 2023) written by Phayung Meesad and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the high-quality papers presented at the 19th International Conference on Computing and Information Technology (IC2IT2023), held on May 18-19, 2023, in Bangkok, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology. .

Author : Phayung Meesad
Publisher : Springer Nature
ISBN 13 : 3031304748
Total Pages : 221 pages
Book Rating : 4.43/5 ( download)

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Download or read book Proceedings of the 19th International Conference on Computing and Information Technology (IC2IT 2023) written by Phayung Meesad and published by Springer Nature. This book was released on 2023-05-23 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the high-quality papers presented at the 19th International Conference on Computing and Information Technology (IC2IT2023), held on May 18–19, 2023, in Bangkok, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology.

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ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.87/5 ( download)

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Download or read book 2023 3rd International Conference on Computing and Information Technology (ICCIT). written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : IEEE Staff
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.61/5 ( download)

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Download or read book 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE) written by IEEE Staff and published by . This book was released on 2023-02-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Machine Learning, Databases, Big Data

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.79/5 ( download)

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Download or read book 2023 13th International Conference on Advanced Computer Information Technologies (ACIT). written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Phayung Meesad
Publisher :
ISBN 13 : 9783030797584
Total Pages : 0 pages
Book Rating : 4.89/5 ( download)

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Download or read book Recent Advances in Information and Communication Technology 2021 written by Phayung Meesad and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the 17th International Conference on Computing and Information Technology (IC2IT2021) that was held during May 13-14, 2021, in Bangkok, Thailand. The research contributions include machine learning, natural language processing, image processing, intelligent systems and algorithms, as well as network and cloud computing. These lead to the major research directions for emerging information technology and innovation, reflecting digital disruption in the world.

Author : Pongsarun Boonyopakorn
Publisher : Springer
ISBN 13 : 9783030198602
Total Pages : 270 pages
Book Rating : 4.0X/5 ( download)

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Download or read book Recent Advances in Information and Communication Technology 2019 written by Pongsarun Boonyopakorn and published by Springer. This book was released on 2019-05-12 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine learning, natural language processing, speech recognition, image and video processing are just some of the major research and engineering directions that have made autonomous driving, language assistants, automatic translation and answering systems as well as other innovative applications such as more human-oriented interfaces possible. Those developments also reflect economic changes in the world, which are increasingly dominated by the needs of enhanced globalization, international cooperation (including its competitive aspects) and emerging global problems.

Author : Uma N. Dulhare
Publisher : John Wiley & Sons
ISBN 13 : 1119654742
Total Pages : 544 pages
Book Rating : 4.42/5 ( download)

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Download or read book Machine Learning and Big Data written by Uma N. Dulhare and published by John Wiley & Sons. This book was released on 2020-09-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.

Author : Mohammad Shenasa, MD
Publisher : Cardiotext Publishing
ISBN 13 : 1942909217
Total Pages : 218 pages
Book Rating : 4.17/5 ( download)

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Download or read book ECG Masters’ Collection, Volume 2 written by Mohammad Shenasa, MD and published by Cardiotext Publishing. This book was released on 2018-02-15 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 75 exceptional electrocardiogram case studies curated from the libraries of 60 internationally recognized master teachers of ECG interpretation are brought together in this one-of-a-kind resource for student and teacher alike. Organized by disease type, ECG case studies are presented in a clinical context followed by questions and discussion. Medical students, residents, fellows, physicians — anyone who is involved in caring for patients with various cardiovascular diseases and other systemic pathologies — will find this unique collection with a global perspective useful and practical in developing the skills necessary to reading ECGs.

Author : Wei Wang
Publisher : Springer Science & Business Media
ISBN 13 : 0387242473
Total Pages : 174 pages
Book Rating : 4.77/5 ( download)

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Download or read book Mining Sequential Patterns from Large Data Sets written by Wei Wang and published by Springer Science & Business Media. This book was released on 2005-07-26 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.