Department of Computer Applications, Manipal Institute of Technology, Manipal

  • Phone08202925382
  • India

Organization profile

Organisation profile

The Department of Computer Applications prepares students to design, develop and implement software applications. The academic curriculum helps students develop technical, managerial and soft skills for careers in the IT industry.

 KEY FEATURES

  • Enhances learning experience with practical experience through internships, mini projects and practice school project work.

 CORE COMPETENCIES

  • Software Engineering and Application development
  • Data and knowledge discovery
  • Multimedia Computing and Communication
  • Computer Vision.

Fingerprint Dive into the research topics where Department of Computer Applications, Manipal Institute of Technology, Manipal is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Video streaming Engineering & Materials Science
Classifiers Engineering & Materials Science
Support vector machines Engineering & Materials Science
Public health Engineering & Materials Science
Availability Engineering & Materials Science
Mobile ad hoc networks Engineering & Materials Science
Learning systems Engineering & Materials Science
Bandwidth Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2005 2020

A Preliminary Approach to Using PRNU Based Transfer Learning for Camera Identification

Seshadri, S., Akshatha, K. R., Karunakar, A. K. & Paul, K. H., 01-01-2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Arai, K. & Kapoor, S. (eds.). Springer Verlag, p. 246-255 10 p. (Advances in Intelligent Systems and Computing; vol. 944).

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

Cameras
Classifiers
Neural networks
Network architecture
Image sensors

Performance analysis of binary and multiclass models using azure machine learning

Rajagopal, S., Hareesha, K. S. & Kundapur, P. P., 01-01-2020, In : International Journal of Electrical and Computer Engineering. 10, 1, p. 978-986 9 p.

Research output: Contribution to journalArticle

Learning systems
Intrusion detection
Learning algorithms
Testing

SURF Based Copy Move Forgery Detection Using kNN Mapping

Paul, K. H., Akshatha, K. R., Karunakar, A. K. & Seshadri, S., 01-01-2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Arai, K. & Kapoor, S. (eds.). Springer Verlag, p. 234-245 12 p. (Advances in Intelligent Systems and Computing; vol. 944).

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

Image quality
Costs