Suchergebnisse - "Hierarchical Encoder-Decoder Structure"

A new hybrid multivariate prediction model based on wavelet transform convolution for PM2.5 prediction.

Autoren: Lu, Xinbiao Zhang, Wentao Zhan, Gaofan et al.

Quelle: Asian Journal of Atmospheric Environment (AJAE); 11/18/2025, Vol. 19 Issue 1, p1-15, 15p

Schlagwörter: PARTICULATE matter, PREDICTION models, WAVELET transforms, ENVIRONMENTAL monitoring, MACHINE learning, SIGNAL convolution, AIR pollution, MULTIVARIATE analysis

Geografische Kategorien: BEIJING (China)

Rain-Resilient Image Restoration for Reliable and Sustainable Visual Monitoring in Industrial Inspection and Quality Control.

Autoren: Zhang, Miao Wang, Shanqin Yin, Shiqun

Quelle: Processes; Jun2025, Vol. 13 Issue 6, p1628, 21p

Schlagwörter: DEPTH maps (Digital image processing), INDUSTRIAL controls manufacturing, IMAGE reconstruction, DEPTH perception, WEATHER

基于 CrossFormer 的自动驾驶车辆周边行人轨迹预测.

Alternate Title: Trajectory prediction of pedestrians around autonomous vehicles based on CrossFormer.

Autoren: 曹瑞阳 李诗雨 刘擎超 et al.

Quelle: Journal of Jiangsu University (Natural Science Edition) / Jiangsu Daxue Xuebao (Ziran Kexue Ban). May2025, Vol. 46 Issue 3, p276-308. 9p.

Schlagwörter: *TIME series analysis, *MODELS & modelmaking, *PROBLEM solving, *DEEP learning, *MULTISENSOR data fusion

A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy.

Autoren: Xinyuan Chen Yuxiang Liu Bining Yang et al.

Quelle: Frontiers in Oncology; 8/25/2022, Vol. 12, p1-11, 11p

Schlagwörter: CONE beam computed tomography, COMPUTED tomography, PROSTATE cancer patients, DEEP learning

CIS-UNet: Multi-Class Segmentation of the Aorta in Computed Tomography Angiography via Context-Aware Shifted Window Self-Attention

Autoren: Imran, Muhammad Krebs, Jonathan R Gopu, Veera Rajasekhar Reddy et al.

Index Begriffe: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computer Science and Game Theory, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2401.13049

Multi-view adaptive image enhancement with hierarchical attention for complex underground mining scenes.

Autoren: Zhang, Jingming Xu, Wenyu Lu, Yuxu et al.

Quelle: Expert Systems with Applications. Dec2025, Vol. 294, pN.PAG-N.PAG. 1p.

Schlagwörter: *IMAGE enhancement (Imaging systems), *MINES & mineral resources, *DUST, *CONVOLUTIONAL neural networks, *HAZE

Ship trajectory prediction via a transformer-based model by considering spatial-temporal dependency

Autoren: Xinqiang Chen Peiyang Wu Yuzheng Wu et al.

Quelle: Intelligence & Robotics. 5:562-78

Tracking of motile bacteria with instance segmentation aided by semi-synthetic image augmentation and quantitative analysis of run-and-tumble motion.

Autoren: Son, Joowang Kim, Jungmyung Jeong, Joonwoo et al.

Quelle: Soft Matter; 12/28/2025, Vol. 21 Issue 48, p9345-9360, 16p

Physically-inspired frequency decomposition and fusion network for robust nighttime flare removal.

Autoren: Zhang, Zerun Liu, Yunqing Yan, Fei et al.

Quelle: Signal, Image & Video Processing; Dec2025, Vol. 19 Issue 15, p1-9, 9p

AGU-Net: advancing medical image segmentation with attention-guided U-Net architecture.

Autoren: Khader, Sara Ghnemat, Rawan

Quelle: Cluster Computing; Dec2025, Vol. 28 Issue 16, p1-19, 19p

Robust SAR-assisted cloud removal via supervised align-guided fusion and bidirectional hybrid reconstruction.

Autoren: Wang, Anling Xu, Kai Wang, Wenxin et al.

Quelle: International Journal of Digital Earth; Dec2025, Vol. 18 Issue 1, p1-23, 23p

Schlagwörter: SYNTHETIC aperture radar, IMAGE reconstruction, SIGNAL-to-noise ratio, IMAGE processing, REMOTE sensing, OPTICAL images

Integrating spatial and frequency information for Under-Display Camera image restoration.

Autoren: Ahn, Kyusu Kim, Jinpyo Park, Chanwoo et al.

Quelle: Pattern Analysis & Applications; Dec2025, Vol. 28 Issue 4, p1-16, 16p

SAM-GFNet: Generalized Feature Fusion with Hierarchical Network for Hyperspectral Image Semantic Segmentation.

Autoren: Guo, Yinggang Liu, Xu Rong, Jinhong et al.

Quelle: Remote Sensing; Nov2025, Vol. 17 Issue 22, p3662, 20p

Schlagwörter: IMAGE segmentation, REMOTE sensing, FEATURE extraction, HYPERSPECTRAL imaging systems, MULTISENSOR data fusion, MACHINE learning

Water-State-Aware Spatiotemporal Graph Transformer Network for Water-Level Prediction.

Autoren: Li, Ziang Zhang, Wenru Liu, Zongying et al.

Quelle: Journal of Marine Science & Engineering; Nov2025, Vol. 13 Issue 11, p2187, 22p

Schlagwörter: HYDROLOGICAL forecasting, STORM surges, TRANSFORMER models, SPATIOTEMPORAL processes, NAVIGATION, TIME series analysis, FORECASTING, HYDROGEOLOGY

Geografische Kategorien: YANGTZE River (China)

UNETR++ with Voxel-Focused Attention: Efficient 3D Medical Image Segmentation with Linear-Complexity Transformers.

Autoren: Ntanzi, Sithembiso Viriri, Serestina

Quelle: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11034, 18p

Schlagwörter: TRANSFORMER models, TIME complexity, DIMENSIONAL reduction algorithms

FFMamba: Feature Fusion State Space Model Based on Sound Event Localization and Detection.

Autoren: Li, Yibo Ge, Dongyuan Xu, Jieke et al.

Quelle: Electronics (2079-9292); Oct2025, Vol. 14 Issue 19, p3874, 18p

Schlagwörter: ACOUSTIC localization, WAVELET transforms, PHYSICAL acoustics, DETECTION algorithms, DYNAMICAL systems

A new hybrid multivariate prediction model based on wavelet transform convolution for PM2.5 prediction

Autoren: Xinbiao Lu Wentao Zhang Gaofan Zhan et al.

Quelle: Asian Journal of Atmospheric Environment, Vol 19, Iss 1, Pp 1-15 (2025)

Schlagwörter: Prediction, PM2.5 concentration, WTCrossformer, WTC, Two-stage attention, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1976-6912; https://doaj.org/toc/2287-1160

Zugangs-URL: https://doaj.org/article/b06eea5788454ef583f42836ff31b599

Deep Unrestricted Document Image Rectification

Autoren: Feng, Hao Liu, Shaokai Deng, Jiajun et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2304.08796

Studies from Guangdong Polytechnic Normal University Add New Findings in the Area of Prostate Cancer (TCF-Net: A Hierarchical Transformer Convolution Fusion Network for Prostate Cancer Segmentation in Transrectal Ultrasound Images).

Quelle: Cancer Weekly. 10/7/2025, p2781-2781. 1p.

SegmentedCrossformer—A Novel and Enhanced Cross-Time and Cross-Dimensional Transformer for Multivariate Time Series Forecasting.

Autoren: Yang, Zijiang Gonsalves, Tad

Quelle: Forecasting; Sep2025, Vol. 7 Issue 3, p41, 20p

Schlagwörter: TRANSFORMER models, TIME series analysis, DEEP learning, TIME-varying networks