A fault classification for defective solar cells in electroluminescence imagery based on deep learning approach
The global demand for energy is surpassing its availability owing to the increase in
population and advancements in technology. It is essential to move closer to a dependable …
population and advancements in technology. It is essential to move closer to a dependable …
An Accurate Disease Classification of COVID-19 and Pneumonia from Chest X-Ray Images Utilizing Mathematical Algorithm-Based Deep Learning Model.
A Alghanmi - Mathematical Modelling of Engineering …, 2024 - search.ebscohost.com
The COVID-19 pandemic, which originated in 2019, has caused a significant global number
of fatalities. The economic and healthcare impacts of COVID-19 infection in survivors have …
of fatalities. The economic and healthcare impacts of COVID-19 infection in survivors have …
DAE-DBN: An Effective Lung Cancer Detection Model Based on Hybrid Deep Learning Approaches
SA Schnawa, M Rafie, MS Taha - International Conference of Reliable …, 2023 - Springer
To effectively treat lung cancer and improve patient survival, automatic lung nodule
identification is crucial. Computer-aided diagnosis (CAD) is one of the most efficient tools for …
identification is crucial. Computer-aided diagnosis (CAD) is one of the most efficient tools for …