Results 41 to 50 of about 99,068 (260)
Fault diagnosis of high-speed train wheelset bearing based on a lightweight neural network
工程科学学报, 2021 Deep learning is gaining attention in the field of mechanical equipment fault diagnosis. With the help of deep learning techniques, deep neural networks (DNNs) have great potential for machinery fault diagnosis.
Fei-yue DENG +4 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Large-scale Artificial Neural Network: MapReduce-based Deep Learning
CoRR, 2015 Faced with continuously increasing scale of data, original back-propagation neural network based machine learning algorithm presents two non-trivial challenges: huge amount of data makes it difficult to maintain both efficiency and accuracy; redundant data aggravates the system workload.
Kairan Sun +4 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Burst Pressure Prediction of API 5L X-Grade Dented Pipelines Using Deep Neural Network
Journal of Marine Science and Engineering, 2020 Mechanical damage is recognized as a problem that reduces the performance of oil and gas pipelines and has been the subject of continuous research. The artificial neural network in the spotlight recently is expected to be another solution to solve the ...
Dohan Oh +3 more
doaj +1 more source
Prediction of prostate cancer by deep learning with multilayer artificial neural network
Canadian Urological Association Journal, 2018 Abstract Objectives To predict the rate of prostate cancer detection on prostate biopsy more accurately, the performance of deep learning utilizing a multilayer artificial neural network was investigated.
Takeuchi, Takumi +4 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION [PDF]
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria EconomieThis study investigates the role of artificial neural networks (ANN) and deep learning (DL) in the financial sector, focusing on their theoretical applications.
ENE CEZAR CATALIN
doaj
MANAGEMENT OF ARTIFICIAL NEURAL NETWORKS FOR RECOGNITION MAPPING OF HIGH-DEFINITION IMAGES
Надежность и качество сложных систем, 2022 Background. Scientific article reveals the problem of analyzing, recognizing and managing highdefinition images with a minimum error due to the previous frame-by-frame recognition of a complex of lowdefinition images.
N.D. Koshelev +4 more
doaj +1 more source
Using Explainable AI to Measure Feature Contribution to Uncertainty
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 The application of artificial intelligence techniques in safety-critical domains such as medicine and self-driving vehicles has raised questions regarding its trustworthiness and reliability.
Katherine Elizabeth Brown +1 more
doaj +1 more source