Deep Optimal VGG16 Based COVID-19 Diagnosis Model

Coronavirus disease 2019 (COVID-19) Immunopathogenesis, Diagnosis, and Treatment

SARS-CoV-2 is a member of the coronaviruses family that causes the outbreak of coronavirus disease 2019 (COVID-19) in China in late 2019 which has exploded to a global pandemic. The reference genome of the SARS-CoV-2 is considered to be very closely related to SARS-CoV and the virus uses the ACE-2 receptor for cellular entry similar to SARS-CoV. The most common symptoms of COVID-19 are fever, c...

The role of laboratory parameters in COVID-19 diagnosis

Optimization of Reservoir Operation using a Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

Recently, global warming problems with rapid population growth and socio-economic development have intensified the demand for water and increased tensions on water supplies. This research evolves the Multi-Objective Coronavirus Optimization Algorithm (MOCVOA) to obtain operational optimum rules of Voshmgir Dam reservoir under the climate change conditions. The climatic variables downscaled and ...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Residual Squeeze VGG16

Deep learning has given way to a new era of machine learning, apart from computer vision. Convolutional neural networks have been implemented in image classification, segmentation and object detection. Despite recent advancements, we are still in the very early stages and have yet to settle on best practices for network architecture in terms of deep design, small in size and a short training ti...