Depression is a debilitating and enervating mental health disorder that requires attention for necessitating accurate and efficient diagnostic techniques. Devel ...

The proposed approach could accelerate quality control in semiconductor fabrication or the study of defect-engineered quantum materials.

Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...

A guitarist in a death metal band was one of several people who found that personalized deep brain stimulation eased their pain and helped them reduce pain medication.

Currently one of the biggest threats to computer security is malware, which is software designed specifically to harm or infiltrate computers without the owner’s consent. Malware developers often ...

We developed a deep convolutional neural network (DCNN)-based method to assess cherry tree health using leaf images. We constructed the DCNN model on Keras with TensorFlow, preprocessing the original ...

Recently, some computer scientists have started exploring the possibility of modeling feature learning in DNNs using frameworks and approaches rooted in physics.

Single-molecule detection of post-translational modifications (PTMs) such as phosphorylation plays a crucial role in early diagnosis of diseases and therapeutics development. Although single-molecule ...