Health care equity through intelligent edge computing and augmented reality/virtual reality: a systematic review
V Lakshminarayanan, A Ravikumar… - Journal of …, 2023 - Taylor & Francis
Intellectual capital is a scarce resource in the healthcare industry. Making the most of this
resource is the first step toward achieving a completely intelligent healthcare system …
resource is the first step toward achieving a completely intelligent healthcare system …
[HTML][HTML] Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or a
sequence of images to recognize content, has been used extensively across industries in …
sequence of images to recognize content, has been used extensively across industries in …
[HTML][HTML] Real-time pneumonia prediction using pipelined spark and high-performance computing
A Ravikumar, H Sriraman - PeerJ Computer Science, 2023 - peerj.com
Background Pneumonia is a respiratory disease caused by bacteria; it affects many people,
particularly in impoverished countries where pollution, unclean living standards …
particularly in impoverished countries where pollution, unclean living standards …
[HTML][HTML] Biomimetic Gland Models with Engineered Stratagems
X Lin, L Sun, M Lu, Y Zhao - Research, 2023 - spj.science.org
As extensively distributed tissues throughout the human body, glands play a critical role in
various physiological processes. Therefore, the construction of biomimetic gland models in …
various physiological processes. Therefore, the construction of biomimetic gland models in …
[HTML][HTML] Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
Prostate cancer is the one of the most dominant cancer among males. It represents one of
the leading cancer death causes worldwide. Due to the current evolution of artificial …
the leading cancer death causes worldwide. Due to the current evolution of artificial …
[PDF][PDF] A Novel Mixed Precision Distributed TPU GAN for Accelerated Learning Curve.
A Ravikumar, H Sriraman - Comput. Syst. Sci. Eng., 2023 - researchgate.net
Deep neural networks are gaining importance and popularity in applications and services.
Due to the enormous number of learnable parameters and datasets, the training of neural …
Due to the enormous number of learnable parameters and datasets, the training of neural …
Prostate cancer classification with MRI using Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network
GV Kumar, MI Bellary, TB Reddy - The Imaging Science Journal, 2022 - Taylor & Francis
Prostate cancer is a type of cancer that develops in the prostate. The prostate is a little gland
in men that resembles a walnut and secretes seminal fluid, which nourishes and transports …
in men that resembles a walnut and secretes seminal fluid, which nourishes and transports …
Selecting the optimal transfer learning model for precise breast cancer diagnosis utilizing pre-trained deep learning models and histopathology images
Abstract Background Every year, around 1.5 million women worldwide receive a breast
cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …
cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …
Smart distributed contactless airport baggage management and handling system
R Agarwal, A Siddiqui, S Deshpande… - … Machine Learning and …, 2023 - igi-global.com
Smart contactless airport baggage management and handling system is a problem solver
that fits in maximum aspects of airport luggage security and management system. Thus …
that fits in maximum aspects of airport luggage security and management system. Thus …
Preserve Privacy‐HD: A Privacy‐Preserving Distributed Framework for Health Data
A Ravikumar, H Sriraman - Privacy Preservation of Genomic …, 2023 - Wiley Online Library
A distributed software framework called Preserve Privacy‐HD trains deep neural network
models in numerous decentralized edge systems. Every edge system will have a data …
models in numerous decentralized edge systems. Every edge system will have a data …