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5 records from EconBiz based on author Name
1. Expert Habitat: A Colonization Conjecture for Exoplanetary Habitability via penalized multi-objective optimization and Swarm Clustering based candidate validation
Khaidem, Luckyson; Saha, Snehanshu; Kar, Saibal; Mathur, Archana; Saha, Sriparna;2020
Availability: Link
2. Predicting the direction of stock market prices using tree-based classifiers
Basak, Suryoday; Kar, Saibal; Saha, Snehanshu; Khaidem, Luckyson; Dey, Sudeepa Roy;2019
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link
Citations: 147 (based on OpenCitations)
3. ALVEC, auto-scaling by lotka volterra elastic cloud: a qos aware non linear dynamical allocation model
Goswami, Bidisha; Sarkar, Jyotirmoy; Saha, Snehanshu; Kar, Saibal; Sarkar, Poulami;2018
Availability: Link
4. Handbook of research on applied cybernetics and systems science
abstract"[This book] includes the latest scholarly information on complex concepts of more adaptive and self-regulating systems. Featuring exhaustive coverage on a variety of topics such as infectious disease modeling, clinical imaging, and computational modeling, this publication is an ideal source for researchers and students in the field of computer science seeking emerging trends in computer science and computational mathematics"--Provided by publisher.
Saha, Snehanshu; Mandal, Abhyuday; Narasimhamurthy, Anand; V, Sarasvathi; Sangam, Shivappa;2017
Availability: Link Link
Citations: 4 (based on OpenCitations)
5. CD-SFA : Stochastic Frontier Analysis Approach to Revenue Modelling in Large Cloud Data Centres
abstractData centre is a facility, which houses computer systems and associated components, such as telecommunications and storage systems. Due to the emergence of data centre-based computing services, it has become necessary to examine how the costs associated with data centres evolve over time, mainly in view of efficiency issues. We have presented a quasi form of Cobb-Douglas model, which addresses revenue and profit issues in running large data centres. The stochastic form has been introduced and explored along with the quasi Cobb-Douglas model to understand the behaviour of the model in depth. Harrod neutrality and Solow neutrality are incorporated in the model to identify the technological progress in cloud data centres. This allows us to shed light on the stochastic uncertainty of cloud data centre operations. The insightful results are found to be quite useful in view of production reorganisation in large data centres' around the world
Sarkar, Jyotirmoy; Saha, Snehanshu; Goswami, Bidisha; Kar, Saibal;2018