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Personal profile

Research Interests

Computer Engineering

External positions

Fingerprint Dive into the research topics where Dinesh Acharya U is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 17 Similar Profiles
Steganography Engineering & Materials Science
Learning systems Engineering & Materials Science
Wavelet transforms Engineering & Materials Science
Optical character recognition Engineering & Materials Science
Signal to noise ratio Engineering & Materials Science
Intensive care units Engineering & Materials Science
Discrete wavelet transforms Engineering & Materials Science
Feature extraction Engineering & Materials Science

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Research Output 2006 2019

  • 95 Citations
  • 5 h-Index
  • 17 Conference contribution
  • 8 Article
  • 1 Chapter
  • 1 Review article

Development of real time analytics of movies review data using PySpark

Aithal, P. K., Dinesh Acharya, U. & Geetha, M., 01-01-2019, In : International Journal of Recent Technology and Engineering. 7, 5, p. 542-545 4 p.

Research output: Contribution to journalReview article

Electric sparks
Movies
Hadoop
Incentives
Language

Design framework for a data mart in the neonatal intensive care unit

Shirwaikar, R. D., Dinesh Acharya, U., Makkithaya, K., Mallayaswamy, S. & Lewis, L. E. S., 01-01-2018, In : Critical Reviews in Biomedical Engineering. 46, 3, p. 221-243 23 p.

Research output: Contribution to journalArticle

Intensive care units
Computer systems
Decision making
Galaxies
Data mining

Development of Weblog Pre-Processing System: A Parallel Approach

Aithal, P. K., Dinesh Acharya, U. & Geetha, M., 29-11-2018, Proceedings of the 2nd International Conference on Trends in Electronics and Informatics, ICOEI 2018. Institute of Electrical and Electronics Engineers Inc., p. 132-135 4 p. 8553715

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Processing
Websites
Cleaning
2 Citations (Scopus)
Caffeine
Intensive care units
Learning systems
Decision making
Physiology

Partition and hierarchical based clustering techniques for analysis of neonatal data

Mago, N., Shirwaikar, R. D., Dinesh Acharya, U., Govardhan Hegde, K., Lewis, L. E. S. & Shivakumar, M., 01-01-2018, Lecture Notes in Networks and Systems. Springer Paris, p. 345-355 11 p. (Lecture Notes in Networks and Systems; vol. 14).

Research output: Chapter in Book/Report/Conference proceedingChapter

Learning systems