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 …

[HTML][HTML] Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

H Lindroth, K Nalaie, R Raghu, IN Ayala, C Busch… - Journal of …, 2024 - mdpi.com
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 …

[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 …

[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 …

[HTML][HTML] Prostate cancer grading framework based on deep transfer learning and Aquila optimizer

HM Balaha, AO Shaban, EM El-Gendy… - Neural Computing and …, 2024 - Springer
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 …

[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 …

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 …

Selecting the optimal transfer learning model for precise breast cancer diagnosis utilizing pre-trained deep learning models and histopathology images

A Ravikumar, H Sriraman, B Saleena, B Prakash - Health and Technology, 2023 - Springer
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 …

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 …

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 …