Dr. GURURAJ K S
@geethashishu.in
PROFESSOR, INFORMATION SCIENCE AND ENGINEERING
GSSS INSTITUTE OF ENGINEERING AND TECHNOLOGY FOR WOMEN
EDUCATION
Ph.D - Computer and Information Sciences
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science Applications, Computer Networks and Communications, Artificial Intelligence, Decision Sciences
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Alaka Ananth, Sachin S Bhat, Gururaj K, and Krishna Prasad D S
IEEE
Underwater imaging poses different challenges to the enhancement techniques because of the distortion, quality, absence of natural light and many other factors. In this paper, we have explored the efficiency of deep learning based algorithms in the realm of image enhancement. Our methodology explores the implementation and optimization of Zero reference Deep Curve Estimation Network to refine the enhancement process. It can be observed that the tailored network significantly improve the visual quality of underwater images by preserving its spatial features. Results are evaluated through both quantitative and qualitative measures which reveal substantial improvement of traditional algorithms. Different loss functions along with the evaluation metrics are used to underscore the potential of the proposed algorithm.
H. R. Chetan, G. S. Rajanna, G. Nandini, K. C. Santosh, B. H. Puneeth, K. S. Gururaj, B. R. Sreenivasa, and M. S. Abdul Razak
Informa UK Limited
Karanam Subramanyam Gururaj and Kampalappa Thippeswamy
Institute of Advanced Engineering and Science
Any democratic country intends to conduct the elections in a smooth and fair manner such all the citizens of the country participate and elect their leader who can involve himself/herself for the development of the country. Inspite of wide publicity and measures taken for ensuring the participation of all the citizens in the election process, most of the countries are unable achieve 100% voting rate in elections. Among the many reasons for reduction in voting rate, migration of the voters is one of the major reasons for reduction in voting rate. Even though technology and online services have been used in almost all the aspects of day-to-day activities, online features have not been utilized in the process of voting during elections. This paper tries to analyze the performance of the cloud based secured framework by implementing it using PHP and mySQL. Security of the framework is implemented using rivest shamir adleman (RSA), advanced encryption standard (AES) and Blowfish cryptography algorithms.
Deepa Pattan, A. M. Amaresh, K. Padmaja, and K. S. Gururaj
Springer Science and Business Media LLC
J. Jayanth, Manasa Mahadevaswamy, R. Shreehansa, K. S. Gururaj, and H. K. Ravikiran
Springer Science and Business Media LLC
J. Jayanth, H. K. Ravikiran, M. Shivakumar, Manasa Mahadevaswamy, and K. S. Gururaj
Springer Science and Business Media LLC
K S Gururaj and Dr K Thippeswamy
Institute of Advanced Engineering and Science
<p>Accessing and Utilization of data and information from remote location is one of the major requirements of present world. Due to the increase in the requirement of the data access from remote locations, challenges in the enhancement of technology based systems also have increased proportionately. Technology based solution for accessibility of remote data with available infrastructure is the need of the hour. Implementation of technology based solutions for the challenges may be expensive due to the current technical limitations. In this paper, we have attempted to design a secured cloud based framework for Online Voting System and analyzed its performance based on the three cryptographic algorithms namely Blowfish, AES and RSA.</p>
K. S. Gururaj and K. Thippeswamy
Springer Singapore