Dehuri, Satchidananda.
Dehuri, Satchidananda 1976-
Dehuri, Satchidananda, 19..-....
VIAF ID: 164935778 ( Personal )
Permalink: http://viaf.org/viaf/164935778
Preferred Forms
- 100 1 _ ‡a Dehuri, Satchidananda
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- 100 1 _ ‡a Dehuri, Satchidananda
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- 100 1 _ ‡a Dehuri, Satchidananda
- 100 1 _ ‡a Dehuri, Satchidananda ‡d 1976-
- 100 1 _ ‡a Dehuri, Satchidananda ‡d 1976-
- 100 1 _ ‡a Dehuri, Satchidananda, ‡d 19..-....
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4xx's: Alternate Name Forms (2)
5xx's: Related Names (3)
- 510 2 _ ‡a Ajou University ‡g Suwon ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Fakir Mohan University ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
- 510 2 _ ‡a Utkal University ‡g Bhubaneswar ‡4 affi ‡4 https://d-nb.info/standards/elementset/gnd#affiliation ‡e Affiliation
Works
Title | Sources |
---|---|
Advances in machine learning for big data analysis | |
Biologically inspired techniques in many-criteria decision making : international conference on biologically inspired techniques in many-criteria decision making (BITMDM-2019) | |
CGRAM 2007 | |
Cloud Computing for Optimization: Foundations, Applications, and Challenges | |
Computational intelligence in sensor networks | |
EEG brain signal classification for epileptic seizure disorder detection | |
Integration of swarm intelligence and artificial neutral network | |
Intelligent techniques in recommendation systems, 2012: | |
A journey towards bio-inspired techniques in software engineering | |
Knowledge mining using intelligent agents | |
Multi-objective evolutionary algorithms for knowledge discovery from databases | |
National Seminar on Computer Graphics and Multimedia (2007 : P.G. Dept. of Information and Communication Technology, Fakir Mohan University). Computer graphics and multimedia, 2007: | |
Recent advances and future trends in information & communication technology | |
Social networking : mining, visualization, and security | |
Swarm intelligence for multi-objective problems in data mining | |
Techniques and Environments for Big Data Analysis : Parallel, Cloud, and Grid Computing |