YUVA NIDHI SCHEME: It is informed to the students who have passed their degree in 2022-2023, 2023 -2024 can apply for Yuva Nidhi scheme of government of Karnataka. Candidates can apply online at the Seva Sindhu portal or through Grama One, Karnataka One, or Bapuji Seva Centres.

Computer Science and Engineering Publications

Year National Journals International Journals National Conferences International Conferences
2024-2025-37-7
2023-2024-29-27
2022-2023-55-23
2021-2022134-26
2020-2021-39-7
2019-2020-45-10
2018-2019-46-14
2017-2018-55-6
S.No Year Type Publication Details
41. 2024-2025 International Journal

A Graph Neural Network-Based Approach With Dynamic Multiqueue Optimization Scheduling (DMQOS) for Efficient Fault Tolerance and Load Balancing in Cloud Computing

42. 2024-2025 International Journal
Anchor selection based deep learning two stage fabric defect localization
43. 2024-2025 International Journal
An effective role-oriented binary Walrus Grey Wolf approach for feature selection in early-stage chronic kidney disease detection
44. 2024-2025 International Journal
An effective role-oriented binary Walrus Grey Wolf approach for feature selection in early-stage chronic kidney disease detection
45. 2023-2024 International Journal
Loitering Based Human Crime Detection in Video Surveillance using Beluga whale Adam Dingo Optimizer and Deep Convolutional neural network
46. 2023-2024 International Journal
An Optimized Beluga Whale Approach for Migration to Reduce Power and Service Level Agreement in Real-Time System
47. 2023-2024 International Journal
Enhanced AlexNet for Detecting the Myocardial Infarction –An Efficient Approach
48. 2023-2024 International Journal
Jaya-based CAViaR: Hadamard product and key matrix for privacy preservation and data sharing in cloud computing environment
49. 2023-2024 International Journal
Unattended detection in neural OCT image sequences of disease markers
50. 2023-2024 International Journal
Detection of the viral disease on the potato foliar and tubers using a machine learning approach