Computationally Intensive Statistics for Intelligent IoT / Studies in Autonomic, Data-driven and Industrial Computing (PDF)
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The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.
Dr. Amit Banerjee joined the Advanced Device Research Division, Research Institute of Electronics, Japan as a Scientific Researcher in 2016 and was also part of the Innovative Photonics Evolution Research Center at Hamamatsu, Japan. He later joined the Microelectronic Technologies & Devices, Department of Electrical and Computer Engineering of the prestigious National University of Singapore, as Scientist in 2017. Currently Amit is member of 40+ international advisory boards with global MNCs, deep-tech startups, technical program committees, in various countries, co-authored several scientific papers, presented in several international conferences as plenary and keynote speaker, received 8 international awards, authored & edited nine deep-tech books with prominent international publishers. Amit received Ph.D. degree in Semiconductor Technology from Energy Research Unit, Indian Association for the Cultivation of Science (D.S.T., Govt. of India) and has extensively worked on design and development of high vacuum plasma CVD reactors, which are used in industrial manufacturing of solar cells, coatings and TFTs. His recent work on antenna-coupled microbolometer arrays, are compatible with the state-of-the-art medium-scale semiconductor device fabrication processes, and technologically competitive with commercial viability as on-chip integrable detector arrays for terahertz imaging. He is currently associated with the Physics Department, Bidhan Chandra College, West Bengal, India.
- Autoren: Debabrata Samanta , Amit Banerjee
- 2021, 1st ed. 2021, 218 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811659362
- ISBN-13: 9789811659362
- Erscheinungsdatum: 02.10.2021
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- Dateiformat: PDF
- Größe: 4.85 MB
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