Deep learning models for image classification: comparison and applications
Deep learning is the subfield of machine learning which performs data interpretation and
integrates several layers of features to produce prediction outcomes. It has a significant …
integrates several layers of features to produce prediction outcomes. It has a significant …
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images
KM Sunnetci, A Alkan - Expert Systems with Applications, 2023 - Elsevier
The COVID-19 pandemic has been affecting the world since December 2019, and
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical …
Boosting COVID-19 image classification using MobileNetV3 and aquila optimizer algorithm
Currently, the world is still facing a COVID-19 (coronavirus disease 2019) classified as a
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
highly infectious disease due to its rapid spreading. The shortage of X-ray machines may …
PrimePatNet87: prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition
Nowadays, many deep models have been presented to recognize emotions using
electroencephalogram (EEG) signals. These deep models are computationally intensive, it …
electroencephalogram (EEG) signals. These deep models are computationally intensive, it …
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …
the thinking patterns of the human brain with specifications such as real-time learning, self …
An ensemble learning model for COVID-19 detection from blood test samples
OO Abayomi-Alli, R Damaševičius, R Maskeliūnas… - Sensors, 2022 - mdpi.com
Current research endeavors in the application of artificial intelligence (AI) methods in the
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
White-box inference attack: compromising the security of deep learning-based COVID-19 diagnosis systems
BUH Sheikh, A Zafar - International Journal of Information Technology, 2024 - Springer
The COVID-19 pandemic has necessitated the exploration of innovative diagnostic
approaches, including the utilization of machine learning (ML) and deep learning (DL) …
approaches, including the utilization of machine learning (ML) and deep learning (DL) …
Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
Abstract Coronavirus (COVID-19) is a newly discovered viral disease from the SARS-CoV-2
family. This has caused a moral panic resulting in the spread of informative and …
family. This has caused a moral panic resulting in the spread of informative and …
Word2vec neural model-based technique to generate protein vectors for combating COVID-19: a machine learning approach
TA Adjuik, D Ananey-Obiri - International Journal of Information …, 2022 - Springer
The world was ambushed in 2019 by the COVID-19 virus which affected the health,
economy, and lifestyle of individuals worldwide. One way of combating such a public health …
economy, and lifestyle of individuals worldwide. One way of combating such a public health …
A survey of COVID-19 diagnosis using routine blood tests with the aid of artificial intelligence techniques
S Abbasi Habashi, M Koyuncu, R Alizadehsani - Diagnostics, 2023 - mdpi.com
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), causing a disease
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …
called COVID-19, is a class of acute respiratory syndrome that has considerably affected the …