In recent years different types of Residual Neural Networks (ResNets, for short) have been
introduced to improve the performance of deep Convolutional Neural Networks. To cope …

Background Prostate cancer is currently the second most prevalent cancer among men.
Accurate diagnosis of prostate cancer can provide effective treatment for patients and greatly …

Nitrogen management in tea (Camellia sinensis L.) fields has deeply depended on manual
work for a long term due to low-cost labor. Because of the decreasing population, costs of …

Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the
diagnosis using ultrasound is still challenging owing to the presence of various image …

Experimental design in field robotics is an adaptive human-in-the-loop decision-making
process in which an experimenter learns about system performance and limitations through …

Multi-robot teams can be very useful in a wide variety of search and rescue missions in
challenging environments. In a mission with considerable uncertainty due to intermittent …

Liver cancer is amongst the most cancer-related life threats worldwide. If not detected early,
most liver diseases can lead to liver cancer. Early diagnosis of the disease depends on the …

This study develops a computational framework utilizing neural network architectures that
aims at segmentation. To this end, deep learning model is needed. Deep learning greatly …

The rapid advancement of artificial intelligence, machine learning, human robot interaction,
and safe learning and optimization has led to significant leaps in component-and behavior …

Cirrhosis is an advanced stage of many chronic liver diseases, primarily caused by viral
hepatitis. Early detection is crucial to prevent further liver tissue scarring and to prolong …