Results 121 to 130 of about 388,626 (336)
Relation Classification for Semantic Structure Annotation of Text [PDF]
Yulan Yan+3 more
openalex +1 more source
A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao+7 more
wiley +1 more source
Non uniform (hyper/multi)coherence spaces [PDF]
In (hyper)coherence semantics, proofs/terms are cliques in (hyper)graphs. Intuitively, vertices represent results of computations and the edge relation witnesses the ability of being assembled into a same piece of data or a same (strongly) stable function, at arrow types.
arxiv
Semantic types of some generic relation arguments [PDF]
Sophia Katrenko, Pieter Adriaans
openalex +1 more source
Semantic relation priming is not constituent-specific: Evidence from ERP [PDF]
Xiaofei Jia, Changle Zhou
openalex +1 more source
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang+5 more
wiley +1 more source
Considering the complications related to alcohol withdrawal syndrome (AWS) such as seizure, delirium tremens and cardiac arrhythmia, it is important to identify the risk of delirium tremens (DT) following AWS and enhance preventive strategies. We observed the characteristics of quantitative electroencephalography in patients with AWS, specifically who ...
Jee‐Eun Yoon+3 more
wiley +1 more source
Semi-supervised learning for semantic relation classification using stratified sampling strategy [PDF]
Longhua Qian+3 more
openalex +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
Abstract Objective Childhood cancer and cancer‐related treatments disrupt brain development and maturation, placing survivors at risk for cognitive late effects. Given that assessment tools vary widely across researchers and clinicians, it has been daunting to identify distinct patterns in outcomes across diverse cancer types and to implement ...
Julie A. Trapani, Donna L. Murdaugh
wiley +1 more source