Results 21 to 30 of about 466,376 (302)

GLF-NET: Global and Local Dynamic Feature Fusion Network for Real-Time Steel Strip Surface Defect Detection

IEEE Access
Surface defect detection plays a crucial role in ensuring the quality standards of hot-rolled steel strips. To meet the demands for high precision and real-time performance in industrial defect detection, this paper introduces an improved one-stage ...
Yunfei Ma, Zhaohui Zhang, Shaocheng Ma, Kailun Shi, Chenglong Fan   +4 more
doaj   +1 more source

Multi-Features Refinement and Aggregation for Medical Brain Segmentation

IEEE Access, 2020
Due to the complexity of the anatomical structure for human organs, medical image segmentation is always a challenging computer vision task. The Convolutional Neural Network (CNN) requires a rich feature representation, which not only needs the ...
Dongyuan Wu, Yi Ding, Mingfeng Zhang, Qiqi Yang, Zhiguang Qin   +4 more
doaj   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Improving Both Quantity and Quality: Incentive Mechanism for Social Mobile Crowdsensing Architecture

IEEE Access, 2018
Mobile crowdsensing has emerged as an efficient paradigm for performing large-scale sensing tasks. Improving both the quantity and quality of users is still the pivotal problem for mobile crowdsensing system.
Jia Xu, Weiwei Bao, Huayue Gu, Lijie Xu, Guoping Jiang   +4 more
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

Developmental Disorders in Children Recently Diagnosed With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag, Long Vu, Ritika Miryala, Jeffrey M. Albert, Molly McVoy, Siran M. Koroukian   +5 more
wiley   +1 more source

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Data Science and Engineering
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal federation where clients share homogeneous data distribution and learning ...
Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu   +4 more
doaj   +1 more source

Homomorphic encryption location privacy-preserving scheme based on Markov model

网络与信息安全学报, 2017
Homomorphic encryption location privacy-preserving scheme based on Markov mode was proposed to solve the problem of location privacy and query privacy protection in location-based service systems.
Kai ZHOU,Jian-qiong HE, Chang-gen PENG, Yi-jie ZHU   +2 more
doaj   +1 more source

Data-Based Security Fault Tolerant Iterative Learning Control under Denial-of-Service Attacks [PDF]

, 2022
Zengwei Li, Chang‐Ren Zhou, Wei‐Wei Che, Chao Deng, Xiaozheng Jin   +4 more
openalex   +1 more source