Results 121 to 130 of about 206,029 (232)

Quantifying Shuttlecock Skill Progression via Multimodal Action Recognition and Dynamics‐Guided Trajectory Prediction

Engineering Reports, Volume 8, Issue 10, October 2026.
This study proposes a multimodal feature fusion‐based action recognition and trajectory prediction framework to quantitatively evaluate the effectiveness of compensatory exercises in accelerating shuttlecock skill acquisition. The system comprehensively employs TrackNet, Faster R‐CNN, and HRNet to extract shuttlecock trajectories, player positions, and
Chao Zhang, Fei Zeng
wiley   +1 more source

A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery

Engineering Reports, Volume 8, Issue 10, October 2026.
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa, Fasikaw Kibrete, Yitbarek Gashaw Tadesse, Abdu Mohammed Seid, Sewale Yasabu Enyew, Getachew Getu Enyew, Mulugeta Linger Tariku, Zewdie Alemayehu Mulat   +7 more
wiley   +1 more source

Transformers meet CNNs for insights into breast mass classification from histopathological images

Frontiers in Artificial Intelligence
IntroductionBreast cancer remains one of the leading causes of cancer-related deaths among women worldwide, highlighting the critical need for accurate histopathological diagnosis and reliable decision-support systems to improve diagnostic sensitivity ...
Vatsala Anand, Ajay Khajuria
doaj   +1 more source

Transformer face recognition method based on multi-level feature fusion

四川大学学报. 自然科学版
The convolutional operation in a convolutional neural network only captures local information, whereas the Transformer retains more spatial information and can create long-range connections of images. In the application of vision field, Transformer lacks
XIA Gui-Shu, ZHU Zi-Han, WEI Yong-Chao, ZHU Hong-Chao, XU Wei-Qi   +4 more
doaj  

Swin Transformer With Spatial and Local Context Augmentation for Enhanced Semantic Segmentation of Remote Sensing Images

IEEE Open Journal of Signal Processing
Semantic segmentation of remote sensing images is extensively used in crop cover and type analysis, and environmental monitoring. In the semantic segmentation of remote sensing images, owning to the specificity of remote sensing images, not only the ...
Rong-Xing Ding, Yi-Han Xu, Gang Yu, Wen Zhou, Ding Zhou   +4 more
doaj   +1 more source

A two‐stage framework for fast proton spot map generation in pencil beam scanning prostate SBRT planning

Medical Physics, Volume 53, Issue 10, October 2026.
Abstract Background In pencil beam scanning (PBS) proton therapy, treatment plans are encoded as proton spot maps (PSMs). Although deep‐learning methods can rapidly predict three‐dimensional (3D) dose distributions from patient anatomy and planning intent, there is still no widely adopted direct, non‐iterative approach to convert doses into physically ...
Xueyan Tang, Hok Wan Chan Tseung, Mark Pepin, Jiasen Ma, David M. Routman, Doug J. Moseley, Brandon Reber, Jed E. Johnson, Jing Qian   +8 more
wiley   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, Volume 43, Issue 7, Page 4603-4623, October 2026.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Downscaling of Tropical Cyclone Surface Wind Fields With a Hybrid Attention Transformer

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract This study employs a Hybrid Attention Transformer‐based super‐resolution model to reconstruct tropical cyclone (TC) surface wind fields. The model downscales coarse‐resolution ERA5 reanalysis data to high‐resolution HWind analyses (1998–2013), increasing the horizontal resolution by a factor of five.
Chunhua Wang, Dazhi Xi, Na He, Shuai Wang, Kekuan Chu   +4 more
wiley   +1 more source

Conditional ordinal regression based on chain rule probability in Swin Transformer for improved ordinal image classification

MethodsX
• Effective image analysis relies on robust feature extraction, a capability for which Swin Transformer is suited. However, ordinal image classification specifically requires capturing the ordered progression of labels.
Alan Prahutama, Suparti, Iut T. Utami, Muhammad H. Mudafiq, Roel F. Ceballos   +4 more
doaj   +1 more source

Removing the Effect of Source Structure From Correlated VLBI Data

Radio Science, Volume 61, Issue 10, October 2026.
Abstract Recent studies suggest that in geodetic very long baseline interferometry (VLBI) the assumption of sources being point‐like results in a significant residual error introduced by the effect of source structure. Our aim is to remove the impact of source structure from geodetic VLBI data right after the correlation step. For this purpose, we have
Frédéric Jaron, Víctor Pérez‐Díez, Hana Krásná, Johannes Böhm, Patrick Charlot, Arnaud Collioud, Jakob Gruber, Iván Martí‐Vidal, Axel Nothnagel   +8 more
wiley   +1 more source