Results 41 to 50 of about 7,478 (267)
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Intelligent fault diagnosis system based on big data
In view of the actual problems existing in life-cycle health monitoring and diagnosis of large complex equipment, the machine-learning algorithm is applied to data mining of the equipment operation big data, the expert knowledge base is established, the ...
Tianshu Wu, Shuyu Chen, Peng Wu
doaj +1 more source
GADF-VGG16 based fault diagnosis method for HVDC transmission lines.
Transmission lines are most prone to faults in the transmission system, so high-precision fault diagnosis is very important for quick troubleshooting. There are some problems in current intelligent fault diagnosis research methods, such as difficulty in ...
Hao Wu +4 more
doaj +1 more source
Research Progress of Vibration Fault Diagnosis Technology for Steam Turbine Generator Sets
With the increasing demand of power energy, the safe and stable operation of high parameter and large capacity turbo-generator sets is of great significance to power production.
Shangnian CHEN +5 more
doaj +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Evolvable Transformer Fault Diagnosis Model Combining Feature Analysis and Machine Learning [PDF]
Transformers, which possess complex mechanisms and exert an extensive influence, are important equipment in large power systems. The state detection and fault diagnosis of transformers are hence a key challenge in traditional power systems; they also ...
Yedong MAO, Chunhui ZHANG, Jie CHEN
doaj +1 more source
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song +10 more
wiley +1 more source
Study on the fault Petri nets of the unmanned roadheader based on the transition memory
Unmanned roadheader is the realization of the concept of unmanned mining technology, coal mine intelligent mining requires roadheader with intelligent diagnosis technology.
Yang Jianjian +5 more
doaj
The Multiple Sclerosis Severity Allele rs10191329A and Cognitive Function: A UK Biobank Study
ABSTRACT The genome‐wide association study of Multiple Sclerosis severity linked the genetic variant rs10191329A to long‐term disability and implicated brain resilience as a determinant of outcome. We hypothesised that rs10191329A might influence cognition in other neurological diseases and healthy controls.
Ioanna Zimianiti +5 more
wiley +1 more source
Signal-Based Intelligent Hydraulic Fault Diagnosis Methods: Review and Prospects
Hydraulic systems have the characteristics of strong fault concealment, powerful nonlinear time-varying signals, and a complex vibration transmission mechanism; hence, diagnosis of these systems is a challenge.
Juying Dai +3 more
doaj +1 more source

