Urban parks are important public places that provide an opportunity for city dwellers to
interact with nature. In recent years, social media data have become a promising data …

One of the prevalent methods of image forgery is copy-move, where one or more regions of
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …

As the mechanization of the CBM extraction process advances and geological conditions
continuously evolve, the production data from CBM wells is deviating increasingly from …

Driving can understand the importance of tire tread depth and air pressure, but most people
are unaware of the safety risks of tire oxidation. Drivers must maintain vehicle tire quality to …

Automatic segmentation of histopathology whole-slide images (WSI) usually involves
supervised training of deep learning models with pixel-level labels to classify each pixel of …

Abstract The coronavirus disease 2019 (COVID-19) pandemic has been spreading quickly,
threatening the public health system. Consequently, positive COVID-19 cases must be …

Machine Learning (ML) models, such as deep neural networks, are widely applied in
autonomous systems to perform complex perception tasks. New dependability challenges …

Abstract Neurotrophic Foot Ulcer (NFU) is most common in patients with diabetes mellitus,
and it may result in amputation of the lower extremity (leg and foot). Current methods used …

Objective. Speech decoding, one of the most intriguing brain-computer interface
applications, opens up plentiful opportunities from rehabilitation of patients to direct and …

The increasing quantities of polluted waters are calling for advanced purification methods.
Flocculation is an essential component of the water purification process, yet flocculation is …