[HTML][HTML] Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
[HTML][HTML] Artificial intelligence for COVID-19: a systematic review
L Wang, Y Zhang, D Wang, X Tong, T Liu… - Frontiers in …, 2021 - frontiersin.org
Background: Recently, Coronavirus Disease 2019 (COVID-19), caused by severe acute
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
respiratory syndrome virus 2 (SARS-CoV-2), has affected more than 200 countries and lead …
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 …
Time series prediction for the epidemic trends of COVID-19 using the improved LSTM deep learning method: Case studies in Russia, Peru and Iran
P Wang, X Zheng, G Ai, D Liu, B Zhu - Chaos, Solitons & Fractals, 2020 - Elsevier
The COVID-19 outbreak in late December 2019 is still spreading rapidly in many countries
and regions around the world. It is thus urgent to predict the development and spread of the …
and regions around the world. It is thus urgent to predict the development and spread of the …
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
Natural language processing for smart healthcare
Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …
intelligence (AI) technologies enable various smart applications across various healthcare …
Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies
L Jiang, Z Wu, X Xu, Y Zhan, X Jin… - Journal of …, 2021 - journals.sagepub.com
Recent advancements in the field of artificial intelligence have demonstrated success in a
variety of clinical tasks secondary to the development and application of big data …
variety of clinical tasks secondary to the development and application of big data …