Uterine fibroids, or leiomyomas, present diagnostic challenges due to symptom overlap with rare but aggressive ...

Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) ...

In a groundbreaking achievement, published in the journal PLOS One, researchers have identified the author and title of an ...

A sealed Herculaneum scroll yields its secrets—revealing a lost philosophical treatise by Philodemus through virtual ...

Leveraging Neural Networks and Semi-Supervised Learning for recognising Instinctive Gestures. Goal of this project is to achieve Instinctive Gesture recognition.

We utilized range-Doppler maps to capture temporal changes in range and Doppler frequency, and employed deep learning models, including a 3D-convolutional neural networks (CNN) and a combination of ...

To address this problem, we propose a magnetic anomaly target motion state detection method based on 3D convolutional neural network (3D CNN). The method utilizes a magnetic field sensor array to ...

Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, You’anmenwai, Xitoutiao No.10, Beijing, P. R. China Beijing Municipal Key Laboratory of Clinical ...

School of Management, Dalian Polytechnic University, Dalian 116034, P. R. China School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, P. R. China ...

We collect existing papers on skeleton-based action recognition published in prominent conferences and journals. This paper list will be continuously updated at the end of each month.