Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
M Azeem, S Javaid, RA Khalil, H Fahim, T Althobaiti… - Bioengineering, 2023 - mdpi.com
Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …
of raw data into beneficial medical decisions for treatment and care has increased in …
X-ray image based COVID-19 detection using evolutionary deep learning approach
SMJ Jalali, M Ahmadian, S Ahmadian… - Expert Systems with …, 2022 - Elsevier
Radiological methodologies, such as chest x-rays and CT, are widely employed to help
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
diagnose and monitor COVID-19 disease. COVID-19 displays certain radiological patterns …
Forecasting COVID19 parameters using time-series: KSA, USA, Spain, and Brazil comparative case study
Many countries are suffering from the COVID19 pandemic. The number of confirmed cases,
recovered, and deaths are of concern to the countries having a high number of infected …
recovered, and deaths are of concern to the countries having a high number of infected …
Performance analysis of wavelet scattering transform-based feature matrix for power system disturbances classification.
NM Mansour, IA Awaad… - International Journal of …, 2024 - search.ebscohost.com
Recently, the wavelet scattering transform (WST) was introduced as a powerful feature
extraction tool for classification processes. It provides good performance in applications …
extraction tool for classification processes. It provides good performance in applications …
Machine Learning based COVID-19 Patients Monitoring System using CNN
MY Ansari, MT Ekram, T Khan… - 2022 4th International …, 2022 - ieeexplore.ieee.org
Ever since an anonymous disease broke out in late 2019, the whole world seems to have
own ceased functioning. COVID-19 patients are proliferating at an exponential rate, straining …
own ceased functioning. COVID-19 patients are proliferating at an exponential rate, straining …
Method for detecting defects in direct metal deposition using a neural network
P Pivkin, N Khodanovich, S Grigoriev… - Laser+ Photonics for …, 2024 - spiedigitallibrary.org
Research of literature dedicated to neural networks and artificial intelligence was made. The
topicality of the research in this area was proven. Neural network models most using in …
topicality of the research in this area was proven. Neural network models most using in …