Results 31 to 40 of about 4,724 (255)
Research on Neural Semantic Analysis Method for Multi-language Input [PDF]
Jisuanji gongcheng, 2019 The semantic analysis of multi-language to semantic expressions is to take multiple semantically equivalent different language sentences as input and parse them into corresponding semantic expressions.Under the framework of neural network coding-decoding,
CHAI Qiang,LI Junhui,KONG Fang,ZHOU Guodong
doaj +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
, 2012 Context memory retrieval tasks often implicate the left ventrolateral pFC (LVPFC) during functional imaging. Although this region has been linked to controlled semantic processing of materials, it may also play a more general role in selecting among ...
Ian G. Dobbins +8 more
core +1 more source
IEEE Communications Standards MagazineAccepted by IEEE COMSTD, project page: https://qin-jingyun.github.io/SemCod/
Hai-Long Qin +7 more
openaire +2 more sources
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
An Autoencoder-Based Task-Oriented Semantic Communication System for M2M Communication
AlgorithmsSemantic communication (SC) is a communication paradigm that has gained significant attention, as it offers a potential solution to move beyond Shannon’s formulation in bandwidth-limited communication channels by delivering the semantic meaning of the ...
Prabhath Samarathunga +5 more
doaj +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Deficits of semantic cognition in stroke aphasia: Underlying causes and ameliorating factors [PDF]
, 2012 Research suggests that semantic memory deficits can occur in at least three ways. Patients can (1) show amodal degradation of concepts within the semantic store itself, such as in semantic dementia (SD), (2) have an impairment of semantic control ...
Thompson, H, Thompson, Hannah Elizabeth
core
IEEE AccessThe rapid growth of video traffic and high-resolution real-time services exposes fundamental limitations in both conventional hybrid codecs and fully learned video compression methods, particularly in scalability, computational efficiency, and temporal ...
Prabhath Samarathunga +6 more
doaj +1 more source
Code Semantic-Aware Runahead Threads
2009 International Conference on Parallel Processing, 2009 Memory-intensive threads can hoard shared re- sources without making progress on a multithreading processor (SMT), thereby hindering the overall system performance. A recent promising solution to overcome this important problem in SMT processors is Runa-head Threads (RaT).
Tanausú Ramírez +3 more
openaire +3 more sources