2020 6th Conference On Data Science And Machine Learning Applications PDF Download
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Author | : |
Publisher | : |
Total Pages | : |
Release | : 2020 |
Genre | : Big data |
ISBN | : |
Download 2020 6th Conference on Data Science and Machine Learning Applications Book in PDF, ePub and Kindle
Author | : Giuseppe Nicosia |
Publisher | : Springer Nature |
Total Pages | : 740 |
Release | : 2021-01-07 |
Genre | : Computers |
ISBN | : 3030645835 |
Download Machine Learning, Optimization, and Data Science Book in PDF, ePub and Kindle
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Author | : Giuseppe Nicosia |
Publisher | : Springer Nature |
Total Pages | : 701 |
Release | : 2021-01-06 |
Genre | : Computers |
ISBN | : 3030645800 |
Download Machine Learning, Optimization, and Data Science Book in PDF, ePub and Kindle
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Author | : Aboul Ella Hassanien |
Publisher | : Springer Nature |
Total Pages | : 404 |
Release | : 2021-05-27 |
Genre | : Technology & Engineering |
ISBN | : 9813361298 |
Download Enabling Machine Learning Applications in Data Science Book in PDF, ePub and Kindle
This book gathers selected high-quality research papers presented at Arab Conference for Emerging Technologies 2020 organized virtually in Cairo during 21–23 June 2020. This book emphasizes the role and recent developments in the field of emerging technologies and artificial intelligence, and related technologies with a special focus on sustainable development in the Arab world. The book targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science.
Author | : Giuseppe Nicosia |
Publisher | : |
Total Pages | : 0 |
Release | : 2020 |
Genre | : Application software |
ISBN | : 9783030645847 |
Download Machine Learning, Optimization, and Data Science Book in PDF, ePub and Kindle
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Author | : Amit Kumar |
Publisher | : Springer Nature |
Total Pages | : 1600 |
Release | : 2021-11-08 |
Genre | : Technology & Engineering |
ISBN | : 9811636907 |
Download ICDSMLA 2020 Book in PDF, ePub and Kindle
This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Author | : Laith Abualigah |
Publisher | : Springer Nature |
Total Pages | : 287 |
Release | : 2022-11-16 |
Genre | : Technology & Engineering |
ISBN | : 303117576X |
Download Classification Applications with Deep Learning and Machine Learning Technologies Book in PDF, ePub and Kindle
This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them study, formulate, and design their research goal by aligning the latest technologies studies’ image and data classifications. The early start-up can use it to work with product or prototype design requirement analysis and its design and development.
Author | : M. A. Jabbar |
Publisher | : Springer Nature |
Total Pages | : 287 |
Release | : |
Genre | : |
ISBN | : 3031554868 |
Download Applied Machine Learning and Data Analytics Book in PDF, ePub and Kindle
Author | : Ibrahim Aljarah |
Publisher | : Springer Nature |
Total Pages | : 248 |
Release | : 2021-02-20 |
Genre | : Technology & Engineering |
ISBN | : 9813341912 |
Download Evolutionary Data Clustering: Algorithms and Applications Book in PDF, ePub and Kindle
This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
Author | : Mohamed Abd Elaziz |
Publisher | : Springer Nature |
Total Pages | : 148 |
Release | : 2023-05-02 |
Genre | : Technology & Engineering |
ISBN | : 3031281063 |
Download International Conference on Artificial Intelligence Science and Applications (CAISA) Book in PDF, ePub and Kindle
This book collects different artificial intelligence methodologies that applied to solve real-world problems. This book has exciting chapters that employ artificial intelligence and applied to different applications based on integration with meta-heuristic and other techniques. The area of applications is including medical diagnosis, text analysis, cloud computing, and others which will enrich the reader. In this sense, the book provides practical and theory content with novel artificial intelligence techniques. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics and is applied in courses on artificial intelligence, optimization techniques, advanced machine learning, among others.