[HTML][HTML] Machine learning, deep learning, and mathematical models to analyze forecasting and epidemiology of COVID-19: a systematic literature review
COVID-19 is a disease caused by SARS-CoV-2 and has been declared a worldwide
pandemic by the World Health Organization due to its rapid spread. Since the first case was …
pandemic by the World Health Organization due to its rapid spread. Since the first case was …
An analysis of detection and diagnosis of different classes of skin diseases using artificial intelligence-based learning approaches with hyper parameters
In recent years, metaheuristic optimizers have grown in popularity due to their ability to
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19
Abstract Background and Objective The global population has been heavily impacted by the
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
COVID-19 pandemic of coronavirus. Infections are spreading quickly around the world, and …
[HTML][HTML] COVID-19 detection systems using deep-learning algorithms based on speech and image data
The global epidemic caused by COVID-19 has had a severe impact on the health of human
beings. The virus has wreaked havoc throughout the world since its declaration as a …
beings. The virus has wreaked havoc throughout the world since its declaration as a …
Detection of Dental Diseases through X‐Ray Images Using Neural Search Architecture Network
ASAM Al-Ghamdi, M Ragab… - Computational …, 2022 - Wiley Online Library
An important aspect of the diagnosis procedure in daily clinical practice is the analysis of
dental radiographs. This is because the dentist must interpret different types of problems …
dental radiographs. This is because the dentist must interpret different types of problems …
[HTML][HTML] Cyberbullying detection using deep transfer learning
PK Roy, FU Mali - Complex & Intelligent Systems, 2022 - Springer
Social networking platforms like Facebook, Twitter, and others have numerous advantages,
but they have many dark sides also. One of the issues on these social platforms is …
but they have many dark sides also. One of the issues on these social platforms is …
[Retracted] Multiclass Classification of Chest X‐Ray Images for the Prediction of COVID‐19 Using Capsule Network
M Ragab, S Alshehri, NA Alhakamy… - Computational …, 2022 - Wiley Online Library
It is critical to establish a reliable method for detecting people infected with COVID‐19 since
the pandemic has numerous harmful consequences worldwide. If the patient is infected with …
the pandemic has numerous harmful consequences worldwide. If the patient is infected with …
[HTML][HTML] LWSNet-a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery
A Lasker, M Ghosh, SM Obaidullah… - Multimedia Tools and …, 2023 - Springer
Automatic detection of lung diseases using AI-based tools became very much necessary to
handle the huge number of cases occurring across the globe and support the doctors. This …
handle the huge number of cases occurring across the globe and support the doctors. This …
A suitable approach for classifying skin disease using deep convolutional neural network
Skin cancer is a form of cancer that develops in skin tissue and can harm nearby tissues,
resulting in disability, and even result in death. Skin cancer's detrimental consequences can …
resulting in disability, and even result in death. Skin cancer's detrimental consequences can …
Impact of wireless sensor data mining with hybrid deep learning for human activity recognition
Human activity recognition is a time series classification problem that is difficult to solve
(HAR). Traditional signal processing approaches and domain expertise are necessary to …
(HAR). Traditional signal processing approaches and domain expertise are necessary to …