Transfer learned deep feature based crack detection using support vector machine: a comparative study.

Technology offers a lot of potential that is being used to improve the integrity and efficiency of infrastructures. Crack is one of the major concerns that can affect the integrity or usability of any structure. Oftentimes, the use of manual inspection methods leads to delays which can worsen the situation.

VGG16-random fourier hybrid model for masked face recognition.

With the recent COVID-19 pandemic, wearing masks has become a necessity in our daily lives. People are encouraged to wear masks to protect themselves from the outside world and thus from infection with COVID-19. The presence of masks raised serious concerns about the accuracy of existing facial recognition systems since most of the facial features are obscured by the mask.