Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Sight, Deep Learning, Convolutional Neural Network, Long Short-Term Memory, Self-Attention Mechanism Share and Cite: Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Researchers evaluated four deep learning models using over 112,000 negative screening mammograms from the UK NHS to determine ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

Abstract: In the realm of millimeter wave (mmWave) communication, massive multiple-input-multiple-output (mMIMO) systems have grabbed greater attention due to advancements in the 5G cellular networks.

eInstitute of Otorhinolaryngology, Clinical Research Center, Eye and ENT Hospital, Fudan University, Shanghai, China fDepartment of Otorhinolaryngology, Huazhong University of Science and Technology ...

It doesn’t take much to cause tumultuous stock moves in a market top-heavy with tech shares and jumpy about the prospects for artificial intelligence. But nothing underlines the sensitivity of stocks ...