Deteksi masker wajah berdasarkan metode deteksi objek Deep Learning memainkan peran
penting dalam perang melawan COVID-19, yang mencapai hasil yang baik dengan akurasi …

Convolutional neural networks have achieved impressive results in areas such as computer
vision tasks. Recently, more complex architectures have been designed that add additional …

Abstract As the “Internet of Medical Things (IoMT)” grows, healthcare systems can collect
and process data. It is also challenging to study public health prevention requirements. Virus …

The success of the IoT applications in the field of Information Technologies has led to its
spread to different areas of use. In this study, the performance management of …

Speech emotion recognition (SER) is difficult since emotions are complex and dynamic
processes involving multiple dimensions and sub-dimensions. Feature extraction is a …

The preventive measures taken to curb the spread of COVID-19 have emphasized the
importance of wearing face masks to prevent potential infection with serious diseases during …

The COVID-19 that took all the nations for a toll has increased interest in the logical field of
facemask placement. This research determines if a person is appropriately wearing a face …

Nowadays, face recognition using video surveillance systems becomes one of the active
research topics in security domains. Security plays a significant role in everyday life for …

The current target detection algorithm based on deep learning has many redundant
convolution calculations, which are difficult to apply to low-energy mobile devices, such as …

The genesis and spread of illnesses are a major concern in today's rapidly developing
technological and evolutionary environment. The prevention and management of illnesses …