Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks: CHSN-2020: Advanced Technologies and Societal Change
Editat de Ch Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalanenien Limba Engleză Paperback – 11 noi 2023
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 963.27 lei 6-8 săpt. | |
| Springer Nature Singapore – 11 noi 2023 | 963.27 lei 6-8 săpt. | |
| Hardback (1) | 1415.51 lei 6-8 săpt. | |
| Springer Nature Singapore – 10 noi 2022 | 1415.51 lei 6-8 săpt. |
Din seria Advanced Technologies and Societal Change
- 20%
Preț: 573.74 lei - 20%
Preț: 566.10 lei - 20%
Preț: 320.71 lei - 20%
Preț: 415.51 lei - 20%
Preț: 404.86 lei - 20%
Preț: 415.51 lei - 20%
Preț: 439.70 lei - 20%
Preț: 1131.53 lei - 5%
Preț: 705.19 lei - 5%
Preț: 702.52 lei - 5%
Preț: 700.01 lei - 5%
Preț: 704.13 lei - 20%
Preț: 375.65 lei - 20%
Preț: 626.41 lei - 20%
Preț: 1406.64 lei - 20%
Preț: 740.40 lei - 20%
Preț: 626.41 lei - 15%
Preț: 513.16 lei - 20%
Preț: 574.85 lei -
Preț: 436.74 lei - 20%
Preț: 1151.64 lei
Preț: 963.27 lei
Preț vechi: 1204.09 lei
-20% Nou
Puncte Express: 1445
Preț estimativ în valută:
184.33€ • 193.92$ • 152.62£
184.33€ • 193.92$ • 152.62£
Carte tipărită la comandă
Livrare economică 14-28 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9789811940460
ISBN-10: 9811940460
Pagini: 207
Ilustrații: XII, 207 p. 97 illus., 74 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Advanced Technologies and Societal Change
Locul publicării:Singapore, Singapore
ISBN-10: 9811940460
Pagini: 207
Ilustrații: XII, 207 p. 97 illus., 74 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.31 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Advanced Technologies and Societal Change
Locul publicării:Singapore, Singapore
Cuprins
Character Recognition System using CNN For Sanskrit Text.- Resampling Imbalanced Data and Impact of Attribute Selection Methods in High Dimensional Data.- Wireless sEMG Acquisition and Monitoring- A Survey.- Black Hole Algorithm for Bigdata Anonymization.- Sleep Quality Analysis using Motion Signals and Heart Rate.- Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods.- Adaptive Sparse K-Means and Optimization Enabled Neural Network from Gene-Expression Data for Cancer Classification.- Deep Learning for Object Detection: A Survey Routing Protocols: A Survey.- Performance Evaluation of Segmentation Algorithms in Non Contrast and Contrast MRI Images for Region of Interest.
Notă biografică
Dr. Ch. Satyanarayana is currently working as Professor in the Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh, India. He received his Ph.D. in 2007 from JNTU. He has 20+ years of teaching, research experience, and 10 years of administrative experience in various capacities like Controller of Examinations, Head of the Department, and Director Academic and Planning. He has supervised 25 Ph.D. students and 200+ master’s students. He is Senior Member of IEEE. His research interests include image processing, speech recognition, pattern recognition, network security and big data analytics, and computational intelligence.
Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. In January 2004, he was appointed as Docent (Adjunct Professor) at the same university. He is now working as Professor of data science at the University of Eastern Finland, Finland. He is also Guest Professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. He has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 32. His research interests are nature-inspired computing methods (e.g., neural networks, fuzzy logic, evolutionary computing, swarm intelligence, and artificial immune systems) with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
Dr. Choo-Yee Ting is currently working as Professor at the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. He is also Deputy Dean of the Institute for Postgraduate Studies, Multimedia University. In year 2002, he was awardedFellow of Microsoft Research by Microsoft Research Asia, Beijing, China. He has been active in research projects related to predictive analytics and big data. Most of the projects were funded by MOE, MOSTI, Telekom Malaysia, MDeC, and industries. In year 2014, he and his team members won two national-level big data analytics competitions. He has been Trainer for MDeC and INTAN for courses related to big data and data science. He is also Consultant, Mentor, and Assessor for projects under MDeC funding. Currently, he is working on Trouble Ticket Resolution prediction for Telekom Malaysia, AirAsia seat capacity optimization, and Dengue outbreak prediction for the government of Philippines. He is certified in Microsoft Technology Associate (Database), IBM DB2 CDA, and the Coursera Data Science Specialization (John Hopkins University).
Dr. Naresh Babu Muppalaneni is currently working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Silchar. He received his M.Tech. from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, chapters, and conference proceedings and edited research volumes. He has published 5 volumes in Springer Briefs in Forensic and Medical Bioinformatics. He is Fellow of IETE, Life Member of CSI, Member of ISCA, and Senior Member of IEEE. He is Recipient of Best Teacher Award from JNTU Kakinada. He has completed research projects worth of 2 crore rupees from DST, DRDO. He has organized 6 international conferences and 4 workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics, and cryptography
Dr. Xiao-Zhi Gao received his B.Sc. and M.Sc. degrees from the Harbin Institute of Technology, China, in 1993 and 1996, respectively. He obtained his D.Sc. (Tech.) degree from the Helsinki University of Technology (now Aalto University), Finland, in 1999. In January 2004, he was appointed as Docent (Adjunct Professor) at the same university. He is now working as Professor of data science at the University of Eastern Finland, Finland. He is also Guest Professor at the Harbin Institute of Technology, Beijing Normal University, and Shanghai Maritime University, China. He has published more than 400 technical papers on refereed journals and international conferences, and his current Google Scholar H-index is 32. His research interests are nature-inspired computing methods (e.g., neural networks, fuzzy logic, evolutionary computing, swarm intelligence, and artificial immune systems) with their applications in optimization, data mining, machine learning, control, signal processing, and industrial electronics.
Dr. Choo-Yee Ting is currently working as Professor at the Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. He is also Deputy Dean of the Institute for Postgraduate Studies, Multimedia University. In year 2002, he was awardedFellow of Microsoft Research by Microsoft Research Asia, Beijing, China. He has been active in research projects related to predictive analytics and big data. Most of the projects were funded by MOE, MOSTI, Telekom Malaysia, MDeC, and industries. In year 2014, he and his team members won two national-level big data analytics competitions. He has been Trainer for MDeC and INTAN for courses related to big data and data science. He is also Consultant, Mentor, and Assessor for projects under MDeC funding. Currently, he is working on Trouble Ticket Resolution prediction for Telekom Malaysia, AirAsia seat capacity optimization, and Dengue outbreak prediction for the government of Philippines. He is certified in Microsoft Technology Associate (Database), IBM DB2 CDA, and the Coursera Data Science Specialization (John Hopkins University).
Dr. Naresh Babu Muppalaneni is currently working as Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Silchar. He received his M.Tech. from Andhra University and Ph.D. from Acharya Nagarjuna University. He has published more than 30 papers in different International journals, chapters, and conference proceedings and edited research volumes. He has published 5 volumes in Springer Briefs in Forensic and Medical Bioinformatics. He is Fellow of IETE, Life Member of CSI, Member of ISCA, and Senior Member of IEEE. He is Recipient of Best Teacher Award from JNTU Kakinada. He has completed research projects worth of 2 crore rupees from DST, DRDO. He has organized 6 international conferences and 4 workshops. His research interests are artificial intelligence in biomedical engineering, human and machine interaction and applications of intelligent system techniques, social network analysis computational systems biology, bioinformatics, and cryptography
Textul de pe ultima copertă
This book consists of selected peer-reviewed articles from the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2020), held at JNTU, Kakinada, India. The theme and areas of the conference include vast scope for latest concepts and trends in communication engineering, information theory and networks, signal, image and speech processing, wireless and mobile communication, Internet of Things, and cybersecurity for societal causes and humanitarian applications.
Caracteristici
Presents articles from the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks Contributions from leading experts in industry and academia Highlights the use of engineering advances for societal causes and humanitarian needs/applications