Results 181 to 190 of about 35,187 (315)

Intelligent Fault Diagnosis System using BEMD based Thermal Image Enhancement And Support Vector Machines

This study proposes an investigation of a novel thermal image enhancement based on bi-dimensional empirical mode decomposition (BEMD) and applies this method for rotating machinery fault diagnosis system.
Tran, Van Tung
core  

Fault classification in the architecture of virtual machine using deep learning. [PDF]

Sci Rep
Rawat A, Mishra A, Alsharif H, Alharthi RM, Gupta BB.   +4 more
europepmc   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

ANN-based fault classification and localization with optimized PMU deployment for transmission systems. [PDF]

Sci Rep
Malini T, Thirumoorthi P, Lakshmi K.
europepmc   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

APPLICATION OF SVM METHOD IN FAULT DIAGNOSIS OF А MULTI-STAGE CENTRIFUGAL PUMP

Jixie qiangdu
In allusion to the difficulty to obtain fault samples of multi-stage centrifugal pumps in practical engineering, three typical faults containing rubbing, misalignment and unbalance were simulated through the fault simulation test-bed of multi-stage ...
LI YouGen, MA WenSheng, LI FangZhong, WANG QingFeng   +3 more
doaj  

SA-ConSinGAN and reservoir computing fusion for accurate bearing fault classification and severity identification using GAF-based techniques. [PDF]

Sci Rep
Shah A, Vakharia V, Kumar Y, Woźniak M, Ijaz MF.   +4 more
europepmc   +1 more source

A 17 Year Old With Developmental Delay Presenting With Increasing Confusion and Imbalance

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Methylmalonic acidemia is an autosomal recessive genetic disorder primarily caused by defects in methylmalonyl‐CoA mutase and cobalamin (vitamin B12) metabolism. These defects disrupt the tricarboxylic acid cycle and oxidative phosphorylation, leading to the abnormal accumulation of metabolic products such as methylmalonic acid, propionic acid,
Wei Zhao, Yingli Zhang, Hongliang Zheng
wiley   +1 more source

Artificial intelligence-based fault classification on photovoltaic plants using a low-cost open-source IoT system. [PDF]

Sci Rep
Srisiri W, Le NT, Saleem MA, Kaewplung P, Chaitusaney S, Benjapolakul W.   +5 more
europepmc   +1 more source

Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito, Kamal Benguerba, Ken Tsuchida, Kazushige Yazawa, Isao Tsumiyama, Hiromitsu Kayama, Sandra P. Reyna, Farid Khan, Richard S. Finkel   +8 more
wiley   +1 more source