Results 41 to 50 of about 181,909 (270)
Measurement + Control, 2023 Aiming at researching on health monitoring of composite materials, a static load position identification method for optical-fiber composite structures based on the Particle Swarm Optimization-Back Propagation (PSO-BP) neural network algorithm is proposed.
LB Shen, LP Tian
doaj +1 more source
Liquid biopsy epigenetics: establishing a molecular profile based on cell‐free DNA
Molecular Oncology, EarlyView.Cell‐free DNA (cfDNA) fragments in plasma from cancer patients carry epigenetic signatures reflecting their cells of origin. These epigenetic features include DNA methylation, nucleosome modifications, and variations in fragmentation. This review describes the biological properties of each feature and explores optimal strategies for harnessing cfDNA ...
Christoffer Trier Maansson +2 more
wiley +1 more source
Ice accretion thickness prediction using flash infrared thermal imaging and BP neural networks
IET Image Processing, 2023 The present study investigated ice accretion thickness under non‐incoming flow icing conditions on the ground using an infrared thermography system that converts infrared radiation temperature.
Lu Hao +4 more
doaj +1 more source
High-voltage line loss prediction based on improved EO-BP neural network
Dianzi Jishu Yingyong, 2023 Aiming at the problem of low accuracy of high voltage line loss prediction, a line loss prediction model is proposed based on improved BP neural network and Equalization optimizer (EO) algorithm.
Xu Limei +4 more
doaj +1 more source
PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting
, 2013 Seasonality is a distinctive characteristic which is often observed in many practical time series. Artificial Neural Networks (ANNs) are a class of promising models for efficiently recognizing and forecasting seasonal patterns.
Adhikari, Ratnadip +2 more
core +1 more source
Potential therapeutic targeting of BKCa channels in glioblastoma treatment
Molecular Oncology, EarlyView.This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak +4 more
wiley +1 more source
Fault Diagnosis of Power System Based on Improved Genetic Optimized BP-NN
MATEC Web of Conferences, 2015 BP neural network (Back-Propagation Neural Network, BP-NN) is one of the most widely neural network models and is applied to fault diagnosis of power system currently.
Yuan Pu +4 more
doaj +1 more source
System of coal and gas outburst prediction based on improved BP neural network
Gong-kuang zidonghua, 2014 To overcome shortcomings of slow convergence speed and falling into local minimum easily, traditional BP neural network was improved by using VLBP algorithm based on adaptive learning rate and LMBP algorithm based on numerical optimization technique in ...
WANG Sheguo +3 more
doaj +1 more source
Research on Fault Diagnosis of HMCVT Shift Hydraulic System Based on Optimized BPNN and CNN
Agriculture, 2023 There are some problems in the shifting process of hydraulic CVT, such as irregularity, low stability and high failure rate. In this paper, the BP neural network and convolutional neural network are used for fault diagnosis of the HMCVT hydraulic system.
Jiabo Wang +6 more
doaj +1 more source
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source