Efficient deep learning approach for augmented detection of Coronavirus disease
The new Coronavirus disease 2019 (COVID-19) is rapidly affecting the world population
with statistics quickly falling out of date. Due to the limited availability of annotated …
with statistics quickly falling out of date. Due to the limited availability of annotated …
Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach
L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …
time cardiovascular disease monitoring based on wearable medical devices may effectively …
A novel framework for risk assessment and resilience of critical infrastructure towards climate change
The persistent extreme weather events (floods, droughts, heatwaves, etc.) are increasing the
risks towards critical infrastructure (CI). Therefore, it is essential to enhance the resilience of …
risks towards critical infrastructure (CI). Therefore, it is essential to enhance the resilience of …
Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms
IA Elgendy, WZ Zhang, H He, BB Gupta… - Wireless …, 2021 - Springer
Computation offloading at mobile edge computing (MEC) servers can mitigate the resource
limitation and reduce the communication latency for mobile devices. Thereby, in this study …
limitation and reduce the communication latency for mobile devices. Thereby, in this study …
Common limitations of image processing metrics: A picture story
While the importance of automatic image analysis is continuously increasing, recent meta-
research revealed major flaws with respect to algorithm validation. Performance metrics are …
research revealed major flaws with respect to algorithm validation. Performance metrics are …
Myocardial infarction detection based on deep neural network on imbalanced data
Myocardial infarction (MI) is an acute interruption of blood flow to the heart, which causes the
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
Mc-DNN: Fake news detection using multi-channel deep neural networks
JV Tembhurne, MM Almin, T Diwan - International Journal on …, 2022 - igi-global.com
With the advancement of technology, social media has become a major source of digital
news due to its global exposure. This has led to an increase in spreading fake news and …
news due to its global exposure. This has led to an increase in spreading fake news and …
Intelligent fusion-assisted skin lesion localization and classification for smart healthcare
With the rapid development of information technology, the conception of smart healthcare
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …
has progressively come to the fore. Smart healthcare utilizes next-generation technologies …
Healthcare applications of artificial intelligence and analytics: a review and proposed framework
Healthcare is considered as one of the most promising application areas for artificial
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …
Cost-efficient mobility offloading and task scheduling for microservices IoVT applications in container-based fog cloud network
These days, the usage of the internet of Vehicle Things (IVoT) applications such as E-
Business, E-Train, E-Ambulance has been growing progressively. These applications …
Business, E-Train, E-Ambulance has been growing progressively. These applications …