Computationally efficient neural rendering for generator adversarial networks using a multi-GPU cluster in a cloud environment
A Ravikumar, H Sriraman - IEEE Access, 2023 - ieeexplore.ieee.org
Due to its fantastic performance in the quality of the images created, Generator Adversarial
Networks have recently become a viable option for image reconstruction. The main problem …
Networks have recently become a viable option for image reconstruction. The main problem …
Data Analytics to Forecast Brain Cancer Risk and Suitable Digital Solutions in India
A Ravikumar, H Sriraman, RK Pandey… - … and Security, Ethical …, 2024 - igi-global.com
Brain tumours are among the worst human malignancies. Accurate and dependable
segmentation of brain tumours using MRI images aids in treatment planning and extends …
segmentation of brain tumours using MRI images aids in treatment planning and extends …
Enhancing Zero-Day Attack Detection with XAI-Driven ML Models and SMOTE Analysis
CK Sruthi, A Ravikumar… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Zero-day attacks, which are defined by their abrupt appearance without any previous
detection mechanisms, present a substantial obstacle in the field of network security. To …
detection mechanisms, present a substantial obstacle in the field of network security. To …
Evaluation of the Distributed Strategies for Data Parallel Deep Learning Model in TensorFlow
A Ravikumar, H Sriraman - Scalable and Distributed Machine …, 2023 - igi-global.com
Distributed deep learning is a branch of machine intelligence in which the runtime of deep
learning models may be dramatically lowered by using several accelerators. Most of the past …
learning models may be dramatically lowered by using several accelerators. Most of the past …