[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …
Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …
has spread to 210 countries worldwide. It has had a significant impact on health systems …
Chaotic marine predators algorithm for global optimization of real-world engineering problems
A novel metaheuristic called Chaotic Marine Predators Algorithm (CMPA) is proposed and
investigated for the optimization of engineering problems. CMPA integrates the exploration …
investigated for the optimization of engineering problems. CMPA integrates the exploration …
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
M Abdel-Basset, V Chang, R Mohamed - Applied soft computing, 2020 - Elsevier
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
numerous success stories. AI has also contributed to dealing with the coronavirus disease …
Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Hybrid quantum-classical convolutional neural network model for COVID-19 prediction using chest X-ray images
EH Houssein, Z Abohashima… - Journal of …, 2022 - academic.oup.com
Despite the great efforts to find an effective way for coronavirus disease 2019 (COVID-19)
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
prediction, the virus nature and mutation represent a critical challenge to diagnose the …
An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks
Abstract Preparation of Convolutional Neural Networks (CNNs) for classification purposes
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …
depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
Energy-aware marine predators algorithm for task scheduling in IoT-based fog computing applications
M Abdel-Basset, R Mohamed… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
To improve the quality of service (QoS) needed by several applications areas, the Internet of
Things (IoT) tasks are offloaded into the fog computing instead of the cloud. However, the …
Things (IoT) tasks are offloaded into the fog computing instead of the cloud. However, the …