Automatic modulation classification (AMC) is an essential technology in modern communications, enabling the identification of various signal modulation schemes without prior knowledge, thereby ...

Traffic classification is a crucial task for network security. One of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

Using whole-slide hematoxylin and eosin images from 214 patients with glioblastoma in The Cancer Genome Atlas (TCGA), a fine-tuned convolutional neural network model extracted deep learning features.

Effect of breast tissue density on cell-free orphan non-coding RNAs secreted by breast cancers. Nature and distribution of methyl thioadenosine phosphorylase (MTAP) genomic loss in human tumors. This ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Artificial intelligence is now sorting through telescope data at a pace no human team could match, and the results go beyond efficiency gains. Machine learning classifiers have confirmed hundreds of ...

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both ...

Recent advances in deep learning have significantly transformed mineral classification methodologies, supplanting labour‐intensive manual approaches with automated, high-precision systems. By ...