Publications by authors named "Kahina Amara"

Article Synopsis
  • - Solar PV systems are crucial for global energy security, but their performance is often compromised by issues like hotspots and snail trails from cracks in modules.
  • - A new methodology using unsupervised sensing algorithms and 3D Augmented Reality offers improved identification and analysis of these issues, outperforming current techniques in simulations.
  • - By incorporating drone technology, this approach aims to enhance PV maintenance, reducing costs and boosting energy production while paving the way for further advancements in solar panel technology.
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With the Coronavirus disease 2019 (COVID-19) spread, causing a world pandemic, and recently, the virus new variants continue to appear, making the situation more challenging and threatening, the visual assessment and quantification by expert radiologists have become costly and error-prone. Hence, there is a need to propose a model to predict the COVID-19 cases at the earliest possible to control the disease spread. In order to assist the medical professionals and reduce workload and the time the COVID-19 diagnosis cycle takes, this paper proposes a novel neural network architecture termed as O-Net to automatically segment chest Computerised Tomography Ct-scans infected by COVID-19 with optimised computing power and memory occupation.

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