Results 121 to 130 of about 18,617 (276)
IEEE AccessGround roll is a dominant coherent noise in land seismic data, characterized by low frequency, low velocity, and high amplitude. often overlaps with reflection arrivals, thereby reducing the reliability of seismic imaging and interpretation.
Ahmed Eleslambouly +4 more
doaj +1 more source
BiOrthoNet: Efficient Retinal OCT Classification Using Direction‐Specific Convolutions
International Journal of Imaging Systems and Technology, Volume 36, Issue 3, May 2026.ABSTRACT Reliable interpretation of optical coherence tomography (OCT) scans is crucial for the early detection of retinal diseases. Deep learning has emerged as a promising approach for this task; however, many existing models are computationally intensive and fail to exploit the horizontal‐vertical structural organization commonly observed in retinal
Ezzaldeen H. A. Abukhattab +1 more
wiley +1 more source
Automatic Real‐Time Ionogram Scaling Method for Global Ionosondes Using Artificial Intelligence
Space Weather, Volume 24, Issue 5, May 2026.Abstract An ionosonde is an instrument used for local ionosphere remote sensing observations and has the longest history and widest global distribution. Ionograms observed by ionosondes, which depict the electron density profile as a function of virtual height, are critical for ionospheric modeling accuracy and space weather nowcasting.
Peng Liu +6 more
wiley +1 more source
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images
, 2023 In recent years, computer-aided diagnosis systems have shown great potential in assisting radiologists with accurate and efficient medical image analysis.
Astashev, Pavel +4 more
core
Fish and Fisheries, Volume 27, Issue 3, Page 627-642, May 2026.ABSTRACT Monitoring recreational fisheries is difficult: anglers are widely dispersed, gear and practices vary, and many species are involved, which leads to fragmented and scarce data. To address these issues, we developed an Artificial Intelligence (AI) pipeline that turns angler‐reported photos into standardised records of catch composition and ...
Marco Signaroli +9 more
wiley +1 more source
Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing Data [PDF]
Facing the escalating threat of global wildfires, numerous computer vision techniques using remote sensing data have been applied in this area. However, the selection of deep learning methods for wildfire prediction remains uncertain due to the lack of ...
core +1 more source
Journal of Cellular and Molecular Medicine, Volume 30, Issue 9, May 2026.ABSTRACT Vesicoureteral reflux (VUR) can cause retrograde urine flow under voiding pressure, facilitating ascending bacterial colonisation and recurrent inflammatory responses. These processes trigger a cascade of cellular and molecular events—innate immune activation, pro‐inflammatory cytokine release, oxidative stress, apoptosis and extracellular ...
Hongzhou Lin +7 more
wiley +1 more source
DarSwin: Distortion Aware Radial Swin Transformer
, 2023 Wide-angle lenses are commonly used in perception tasks requiring a large field of view. Unfortunately, these lenses produce significant distortions making conventional models that ignore the distortion effects unable to adapt to wide-angle images.
Afrasiyabi, Arman +5 more
core
ROI-based Deep Image Compression with Swin Transformers [PDF]
, 2023 Binglin Li +3 more
openalex +1 more source
Swin-Transformer has demonstrated remarkable success in computer vision by leveraging its hierarchical feature representation based on Transformer. In speech signals, emotional information is distributed across different scales of speech features, e.\,g.,
Lian, Hailun +6 more
core