Big data covid-19 systematic literature review: Pandemic crisis
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …
Performance analysis for COVID-19 diagnosis using custom and state-of-the-art deep learning models
The modern scientific world continuously endeavors to battle and devise solutions for newly
arising pandemics. One such pandemic which has turned the world's accustomed routine …
arising pandemics. One such pandemic which has turned the world's accustomed routine …
A systematic literature review and future perspectives for handling big data analytics in COVID-19 diagnosis
In today's digital world, information is growing along with the expansion of Internet usage
worldwide. As a consequence, bulk of data is generated constantly which is known to be …
worldwide. As a consequence, bulk of data is generated constantly which is known to be …
Medical big data and artificial intelligence for healthcare
Big data have altered the way we manage, explore, evaluate, analyze, and leverage data
across many different industries [1]. Medicine is one of the most remarkable fields in which …
across many different industries [1]. Medicine is one of the most remarkable fields in which …
The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
JC Okeibunor, A Jaca, CJ Iwu-Jaja… - Frontiers in Public …, 2023 - frontiersin.org
Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …
constructing machines capable of simulating and performing tasks usually done by human …
DTLCx: an improved ResNet architecture to classify normal and conventional pneumonia cases from COVID-19 instances with Grad-CAM-based superimposed …
COVID-19 is a severe respiratory contagious disease that has now spread all over the world.
COVID-19 has terribly impacted public health, daily lives and the global economy. Although …
COVID-19 has terribly impacted public health, daily lives and the global economy. Although …
Spatial–temporal synchronous graph transformer network (stsgt) for covid-19 forecasting
COVID-19 has become a matter of serious concern over the last few years. It has adversely
affected numerous people around the globe and has led to the loss of billions of dollars of …
affected numerous people around the globe and has led to the loss of billions of dollars of …
HQDCNet: hybrid quantum dilated convolution neural network for detecting covid-19 in the context of big data analytics
Medical care services are changing to address problems with the development of big data
frameworks as a result of the widespread use of big data analytics. Covid illness has …
frameworks as a result of the widespread use of big data analytics. Covid illness has …
Suicide bomb attack identification and analytics through data mining techniques
Suicide bomb attacks are a high priority concern nowadays for every country in the world.
They are a massively destructive criminal activity known as terrorism where one explodes a …
They are a massively destructive criminal activity known as terrorism where one explodes a …
A Review: Image Processing Techniques' Roles towards Energy-Efficient and Secure IoT
AM Al-Ghaili, H Kasim, Z Hassan, NM Al-Hada… - Applied Sciences, 2023 - mdpi.com
The goal of this review paper is to highlight the image processing techniques' role in the
Internet of Things (IoT), aiming to attain an energy-efficient and secure IoT. IoT-dependent …
Internet of Things (IoT), aiming to attain an energy-efficient and secure IoT. IoT-dependent …