Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …
technology and is currently under research and development. It is expected to deliver faster …
I3cl: Intra-and inter-instance collaborative learning for arbitrary-shaped scene text detection
Existing methods for arbitrary-shaped text detection in natural scenes face two critical
issues, ie,(1) fracture detections at the gaps in a text instance; and (2) inaccurate detections …
issues, ie,(1) fracture detections at the gaps in a text instance; and (2) inaccurate detections …
Attention‐guided multiscale neural network for defect detection in sewer pipelines
Sanitary sewer systems are major infrastructures in every modern city, which are essential in
protecting water pollution and preventing urban waterlogging. Since the conditions of sewer …
protecting water pollution and preventing urban waterlogging. Since the conditions of sewer …
Air infrared small target local dehazing based on multiple-factor fusion cascade network
X Gao, P Tang, Q Cheng, J Li - Neural Computing and Applications, 2023 - Springer
Infrared (IR) imaging, an import method of target monitoring, suffers great imaging quality
degradation in poor weather conditions such as haze, fog, and smog. This will greatly affect …
degradation in poor weather conditions such as haze, fog, and smog. This will greatly affect …
Deep Learning-based Model for Automatic Salt Rock Segmentation
In places where petroleum and natural gas accumulate, a large number of salt layer
deposits are likely to form under the surface of the earth. Locations of petroleum and natural …
deposits are likely to form under the surface of the earth. Locations of petroleum and natural …
A systematic evaluation: fine-grained CNN vs. traditional CNN classifiers
Fine-grained classifiers collect information about inter-class variations to best use the
underlying minute and subtle differences. The task is challenging due to the minor …
underlying minute and subtle differences. The task is challenging due to the minor …