Results 41 to 50 of about 1,190,682 (254)

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie   +8 more
wiley   +1 more source

Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd   +118 more
wiley   +1 more source

Colorimetry in Nuclear Fusion Research

open access: yes, 2022
0000-0001-5522-3082Colorimetry is a unique technique among research fields. The technique is also utilized in nuclear fusion research. The motivation is to evaluate the wide range of distribution of the deposition layer on the surface of the vacuum ...
MOTOJIMA, Gen, 66700
core   +1 more source

Artificial intelligence-based methods for fusion of electronic health records and imaging data

open access: yesScientific Reports, 2022
Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized ...
Farida Mohsen   +3 more
doaj   +1 more source

AdaMoW: Multimodal Sentiment Analysis Based on Adaptive Modality-Specific Weight Fusion Network

open access: yesIEEE Access, 2023
Multimodal sentiment analysis (MSA) is a crucial task in the field of natural language processing (NLP), with a wide range of applications. This paper proposes an adaptive modality-specific weight fusion network (AdaMoW) to address issues in the process ...
Junling Zhang, Xuemei Wu, Changqin Huang
doaj   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera   +20 more
wiley   +1 more source

A Multimodal and Multi-Algorithmic Architecture for Data Fusion in Biometric Systems [PDF]

open access: yes, 2013
Software di autenticazione basato su tratti ...
Giacometti, Andrea
core  

Optimizing Emotional Insight through Unimodal and Multimodal Long Short-term Memory Models

open access: yesARO-The Scientific Journal of Koya University
The field of multimodal emotion recognition is increasingly gaining popularity as a research area. It involves analyzing human emotions across multiple modalities, such as acoustic, visual, and language.
Hemin F. Ibrahim   +3 more
doaj   +1 more source

Towards Robust Human-Robot Collaborative Manufacturing: Multimodal Fusion

open access: yesIEEE Access, 2018
Intuitive and robust multimodal robot control is the key toward human–robot collaboration (HRC) for manufacturing systems. Multimodal robot control methods were introduced in previous studies.
Hongyi Liu   +3 more
doaj   +1 more source

Multimodal Sentiment Analysis Using Multi-tensor Fusion Network with Cross-modal Modeling

open access: yesApplied Artificial Intelligence, 2022
With the rapid development of social networks, more and more people express their emotions and opinions via online videos. However, most of the current research on multimodal sentiment analysis cannot do well with effective emotional fusion in multimodal
Xueming Yan   +3 more
doaj   +1 more source

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