The rise of wearable devices during the COVID-19 pandemic: A systematic review

A Channa, N Popescu, J Skibinska, R Burget - Sensors, 2021 - mdpi.com
The COVID-19 pandemic has wreaked havoc globally and still persists even after a year of
its initial outbreak. Several reasons can be considered: people are in close contact with …

Automated detection and forecasting of covid-19 using deep learning techniques: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi… - Neurocomputing, 2024 - Elsevier
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

Predictive analysis of heart diseases with machine learning approaches

TR Ramesh, UK Lilhore, M Poongodi… - Malaysian Journal of …, 2022 - jpmm.um.edu.my
Abstract Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help
in the protection of heart diseases, locomotor disorders in the medical data set. The …

Meta-heuristic algorithm-tuned neural network for breast cancer diagnosis using ultrasound images

S Bourouis, SS Band, A Mosavi, S Agrawal… - Frontiers in …, 2022 - frontiersin.org
Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …

Image and audio caps: automated captioning of background sounds and images using deep learning

M Poongodi, M Hamdi, H Wang - Multimedia Systems, 2023 - Springer
Image recognition based on computers is something human beings have been working on
for many years. It is one of the most difficult tasks in the field of computer science, and …

SVM‐based generative adverserial networks for federated learning and edge computing attack model and outpoising

P Manoharan, R Walia, C Iwendi, TA Ahanger… - Expert …, 2023 - Wiley Online Library
Abstract Machine learning are vulnerable to the threats. The Intruders can utilize the
malicious nature of the nodes to attack the training dataset to worsen the process and …

Federated transfer learning for authentication and privacy preservation using novel supportive twin delayed DDPG (S-TD3) algorithm for IIoT

S Maurya, S Joseph, A Asokan, AA Algethami… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new
opportunities in the new Industrial Transformation. There have been notable challenges …

Autonomous transaction model for e-commerce management using blockchain technology

S Sekar, A Solayappan, J Srimathi, S Raja… - International Journal of …, 2022 - igi-global.com
A blockchain is an advanced technology that can power over a decentralized network. The
authors bring it up to design the autonomous transaction system for e-commerce …

A measurement approach using smart-IoT based architecture for detecting the COVID-19

M Poongodi, TN Nguyen, M Hamdi, K Cengiz - Neural Processing Letters, 2021 - Springer
The corona virus has infected the entire world in the most severe ways. Many countries
found the situation is very difficult to deal with and their health support infrastructure is not …

Social network user profiling with multilayer semantic modeling using ego network

K Balasubramaniam, S Vidhya… - International Journal of …, 2022 - igi-global.com
Social and information networks undermine the real relationship between the individuals
(ego) and the friends (alters) they are connected with on social media. The structure of …