Cantitate/Preț
Produs
Total produse
Vezi coșul
Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India de Amit Kumar

Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India: Lecture Notes in Electrical Engineering, cartea 1038

Editat de Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore
en Limba Engleză Hardback – 16 aug 2023
This book includes peer reviewed articles from the 4th International Conference on Data Science,  Machine Learning and Applications, 2022,  held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
Citește tot Restrânge

Din seria Lecture Notes in Electrical Engineering

Preț: 143449 lei

Preț vechi: 179312 lei
-20% Nou

Puncte Express: 2152
Preț estimativ în valută:
27456€ • 28616$ • 22856£

Carte tipărită la comandă

Livrare economică 31 decembrie 24 - 06 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789819920570
ISBN-10: 9819920574
Pagini: 441
Ilustrații: VIII, 441 p. 254 illus., 189 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2023
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

Chapter 1: Mr. Bot – A Survey on Arduino Based Autonomous Robotic Vehicle.- Chapter 2: Opinion Mining based Fake Review Detection using Deep Learning Technique.- Chapter 3: Analysis of the Seer dataset for lung cancer diagnosis for  Stage classification and survival Analysis.- Chapter 4: Data Analytics for Athlete Safety in Training.- Chapter 5: Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns.- Chapter 6: Analysis of Various Techniques of Fetal Growth Detection.

Notă biografică

Dr. Amit Kumar is a DNA Forensics Professional, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded the first Private DNA Testing Company Bio Axis DNA Research Centre (P) Ltd in Hyderabad, India with an US Collaborator. He has vast experience of training 1000+ Crime investigation officers and helped 750+ Criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. Amit was member of IEEE Strategy Development and Environmental Assessment committee (SDEA) of IEEE MGA. He is senior member of IEEE and has been a very active IEEE Volunteer at Section, Council, Region, Technical Societies of Computational Intelligence and Engineering in Medicine and Biology and at IEEE MGA levels in several capacities. He has driven a number of IEEEConferences, Conference leadership programs, Entrepreneurship development workshops, Innovation and Internship related events.  


Dr. Vinit Kumar Gunjan is an Associate Professor in the Department of Computer Science & Engineering and Dean of Academic affairs at CMR Institute of Technology Hyderabad (Affiliated to Jawaharlal Nehru Technological University, Hyderabad). He is a Senior Member of IEEE, An active Volunteer of IEEE Hyderabad section; 2021 additional secretary; 2021 Vice Chairman - IEEE Computational Intelligence Society; volunteered in the capacity of Treasurer, Secretary & Chairman of IEEE Young Professionals Affinity Group & IEEE Computer Society. He was awarded with the outstanding IEEE Young Professional award in 2017 by IEEE Hyderabad Section. 

Prof. Yu-Chen Hu received his Ph.D. in computer science and information engineering from the Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan. He is currently a Professor with the Department of Computer Science and Information Management, Providence University, Sha-Lu, Taiwan. His research interests include image and signal processing, data compression, information hiding, and data engineering. He is a member of ACM.


Prof. Sabrina Senatore received her M.S. and Ph.D. degrees in computer science from the University of Salerno, Fisciano, Italy. Since 2005, she has been a Faculty Member with the University of Salerno, where she is currently a Full Professor of Computer Science. Her current research interests include the development and application of intelligent systems based on the combination of techniques from soft computing, computational intelligence, text mining, information retrieval, semantic Web, and intelligent agents. She is the Chair of IEEE CIS Task Force on Intelligent Agents and a member of the IEEE CIS Intelligence Society Task Force: Fuzzy Systems for Web Intelligence.

Textul de pe ultima copertă

This book includes peer reviewed articles from the 4th International Conference on Data Science,  Machine Learning and Applications, 2022,  held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Caracteristici

Includes peer reviewed articles from the 4th International Conference on Data Science and Machine Learning 2022 Discusses the applications of new emerging technologies for professionals and researchers alike Highlights recent advances in artificial intelligence, machine learning, soft computing