Proceedings Of International Conference On Machine Intelligence And Data Science Applications
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Author |
: Manish Prateek |
Publisher |
: Springer Nature |
Total Pages |
: 813 |
Release |
: 2021 |
ISBN-10 |
: 9789813340879 |
ISBN-13 |
: 9813340878 |
Rating |
: 4/5 (79 Downloads) |
Synopsis Proceedings of International Conference on Machine Intelligence and Data Science Applications by : Manish Prateek
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Author |
: Poonam Bansal |
Publisher |
: Springer Nature |
Total Pages |
: 604 |
Release |
: 2020-07-01 |
ISBN-10 |
: 9789811549922 |
ISBN-13 |
: 9811549923 |
Rating |
: 4/5 (22 Downloads) |
Synopsis Proceedings of International Conference on Artificial Intelligence and Applications by : Poonam Bansal
This book gathers high-quality papers presented at the International Conference on Artificial Intelligence and Applications (ICAIA 2020), held at Maharaja Surajmal Institute of Technology, New Delhi, India, on 6–7 February 2020. The book covers areas such as artificial neural networks, fuzzy systems, computational optimization technologies and machine learning.
Author |
: Rajiv Misra |
Publisher |
: Springer Nature |
Total Pages |
: 362 |
Release |
: 2021-09-29 |
ISBN-10 |
: 9783030824693 |
ISBN-13 |
: 3030824691 |
Rating |
: 4/5 (93 Downloads) |
Synopsis Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) by : Rajiv Misra
This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.
Author |
: Vinit Kumar Gunjan |
Publisher |
: Springer Nature |
Total Pages |
: 998 |
Release |
: 2020-10-17 |
ISBN-10 |
: 9789811572340 |
ISBN-13 |
: 9811572348 |
Rating |
: 4/5 (40 Downloads) |
Synopsis Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications by : Vinit Kumar Gunjan
This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.
Author |
: Ripon Patgiri |
Publisher |
: Springer Nature |
Total Pages |
: 103 |
Release |
: 2020-11-27 |
ISBN-10 |
: 9783030626259 |
ISBN-13 |
: 3030626253 |
Rating |
: 4/5 (59 Downloads) |
Synopsis Big Data, Machine Learning, and Applications by : Ripon Patgiri
This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 2019, held in Silchar, India, in December. The 6 full papers and 3 short papers were carefully reviewed and selected from 152 submissions. The papers present research on such topics as computing methodology; machine learning; artificial intelligence; information systems; security and privacy.
Author |
: Aboul-Ella Hassanien |
Publisher |
: Springer Nature |
Total Pages |
: 880 |
Release |
: 2020-03-23 |
ISBN-10 |
: 9783030442897 |
ISBN-13 |
: 3030442896 |
Rating |
: 4/5 (97 Downloads) |
Synopsis Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) by : Aboul-Ella Hassanien
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
Author |
: Kanad Ray |
Publisher |
: Springer Nature |
Total Pages |
: 314 |
Release |
: 2020-10-29 |
ISBN-10 |
: 9789811575617 |
ISBN-13 |
: 9811575614 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Proceedings of International Conference on Data Science and Applications by : Kanad Ray
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2019), held at Kautilya Institute of Technology and Engineering, Jaipur, Rajasthan, India, from 2 to 3 December 2019. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, creative computing, etc.
Author |
: Amit Kumar |
Publisher |
: Springer Nature |
Total Pages |
: 1600 |
Release |
: 2021-11-08 |
ISBN-10 |
: 9789811636905 |
ISBN-13 |
: 9811636907 |
Rating |
: 4/5 (05 Downloads) |
Synopsis ICDSMLA 2020 by : Amit Kumar
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 |
: Garima Mathur |
Publisher |
: Springer Nature |
Total Pages |
: 393 |
Release |
: 2020-02-28 |
ISBN-10 |
: 9789811510595 |
ISBN-13 |
: 9811510598 |
Rating |
: 4/5 (95 Downloads) |
Synopsis International Conference on Artificial Intelligence: Advances and Applications 2019 by : Garima Mathur
This book introduces research presented at the “International Conference on Artificial Intelligence: Advances and Applications-2019 (ICAIAA 2019),” a two-day conference and workshop bringing together leading academicians, researchers as well as students to share their experiences and findings on all aspects of engineering applications of artificial intelligence. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business and security. It also includes research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN and NFV. As such it is a valuable resource for students, academics and practitioners in industry working on AI applications.
Author |
: Vaclav Skala |
Publisher |
: Springer Nature |
Total Pages |
: 909 |
Release |
: 2022-08-01 |
ISBN-10 |
: 9789811923470 |
ISBN-13 |
: 9811923477 |
Rating |
: 4/5 (70 Downloads) |
Synopsis Machine Intelligence and Data Science Applications by : Vaclav Skala
This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 – 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.