Results 31 to 40 of about 5,330,185 (257)

River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network

Applied Sciences
Space–Time Image Velocimetry (STIV) estimates the one-dimensional time-averaged velocity by analyzing the main orientation of texture (MOT) in space–time images (STIs).
Ling Gao, Zhen Zhang, Lin Chen, Huabao Li   +3 more
doaj   +1 more source

Research on Small Target Detection in Driving Scenarios Based on Improved Yolo Network

IEEE Access, 2020
The obtainment of road condition information during driving is extremely important for a driver. However, drivers usually cannot notice multiple information at the same time, which definitely increases certain safety risks. Considering this problem, this
Qiwei Xu, Runzi Lin, Han Yue, Hong Huang, Yun Yang, Zhigang Yao   +5 more
doaj   +1 more source

Intelligent Fault Diagnosis for Inertial Measurement Unit through Deep Residual Convolutional Neural Network and Short-Time Fourier Transform

Machines, 2022
An Inertial Measurement Unit (IMU) is a significant component of a spacecraft, and its fault diagnosis results directly affect the spacecraft’s stability and reliability.
Gang Xiang, Jing Miao, Langfu Cui, Xiaoguang Hu   +3 more
doaj   +1 more source

Ovarian Sex Cord Stromal Tumors in Children and Adolescents—The European Standard Clinical Practice Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider, Kris‐Ann Schultz, Nora Schnitzler, Michael Abele, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Ines B. Brecht, Maja Cesen, Andrea Ferrari, Michaela Kuhlen, Malgorzata A. Krawczyk, Ricardo Lopez‐Almaraz, Yves Reguerre, Calogero Virgone, Daniel Orbach   +15 more
wiley   +1 more source

Recognizing Digital Ink Chinese Characters Written by International Students Using a Residual Network with 1-Dimensional Dilated Convolution

Information
Due to the complex nature of Chinese characters, junior international students often encounter writing problems related to strokes, components, and their combinations when writing Chinese characters. Digital ink Chinese characters (DICCs) are obtained by
Huafen Xu, Xiwen Zhang
doaj   +1 more source

Multi-Scale Residual Fusion Network for Super-Resolution Reconstruction of Single Image

IEEE Access, 2020
Inferring all missing high-frequency details by using low-resolution image is the key to super-resolution reconstruction of a single image. In order to extract the feature information in low-resolution images fully and maximize the deduction of high ...
Baiting Zhao, Rui Hu, Xiaofen Jia, Yongcun Guo   +3 more
doaj   +1 more source

Evidence‐Informed Multidisciplinary Consensus Guidance for the Psychosocial Care of Adolescents With High‐Risk Cancer: Recommendations From the Italian Association of Pediatric Hematology and Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom, Dorella Scarponi, Giulia Zucchetti, Teresa Perillo, Maria Montanaro, Elisa Marconi, Chiara Rutigliano, Paolo Colavero, Paola Quarello, Marina Bertolotti, Monica Cellini, Carlo Clerici, Maurizio Mascarin, Francesca Bomben, Andrea Ferrari, the expert workgroup   +15 more
wiley   +1 more source

CRATSM: An Effective Hybridization of Deep Neural Models for Customer Retention Prediction in the Telecom Industry

Journal of Engineering Technology and Applied Physics
In the dynamic field of Customer Retention Prediction (CRP), strategic marketing and promotion efforts targeting specific customers are crucial. Understanding customer behavior and identifying churn indicators are vital for devising effective retention ...
Johnson Olanrewaju Victor, XinYing Chew, Khai Wah Khaw, Zhi Lin Chong   +3 more
doaj   +1 more source

Breast Cancer Patient Auto-Setup Using Residual Neural Network for CT-Guided Therapy

IEEE Access, 2020
Patient setup will influence the treatment of the breast cancer in radiation therapy. Improving the accuracy of the tumor target localization is vital for the cancer treatment.
Chenning Liu, Chenan Liu, Fengquan Lv, Kaibang Zhong, Hongjin Yu   +4 more
doaj   +1 more source

S³AM: A Spectral-Similarity-Based Spatial Attention Module for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Recently, hyperspectral image (HSI) classification based on deep learning methods has attracted growing attention and made great progress. Convolutional neural networks based models, especially the residual networks (ResNets), have become the ...
Ningyang Li, Zhaohui Wang, Faouzi Alaya Cheikh, Mohib Ullah   +3 more
doaj   +1 more source