Suggested Topics within your search.
Suggested Topics within your search.
-
261
-
262
Greenness, blueness and whiteness evaluated rapid Attenuated Total Reflection/ Fourier Transform Infrared Spectroscopy method for piper nigrum Samples Coupled with multivariate ana...
Published 2025-03-01“…A novel, rapid, steadfast method based on attenuated total reflectance - Fourier transform infrared (ATR-FTIR) technique with a diamond crystal was developed to evaluate samples of piper nigrum. …”
Get full text
Article -
263
First Application of a New Rapid Method of Age Determination in European Anchovy (<i>Engraulis encrasicolus</i>) by Fourier Transform Near-Infrared Spectroscopy
Published 2025-05-01“…Age determination through reading annual rings in whole otoliths is a complicated, time-consuming task that can lead to errors in population age structure, negatively affecting marine fish management plans. Recently, Fourier transform near-infrared spectroscopy (FT-NIRS) has been successfully used to evaluate annual age, at least in several long-life fish species. …”
Get full text
Article -
264
Electricity Load Forecasting Method Based on the GRA-FEDformer Algorithm
Published 2025-07-01“…In recent years, Transformer-based methods have shown full potential in power load forecasting problems. …”
Get full text
Article -
265
Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors
Published 2024-01-01Get full text
Article -
266
Online Monitoring of Partial Discharges in Large Power Transformers Using Ultra-High Frequency and Acoustic Emission Methods: Case Studies
Published 2025-03-01“…Furthermore, it was shown that short-term PD monitoring enables the identification of time windows during which discharges occur periodically and the determination of the transformer phase containing the PD source. This, in turn, facilitates the application of the time difference of arrival (TDoA) technique for the precise localization of transformer insulation defects.…”
Get full text
Article -
267
-
268
Multi-Modal Remote Sensing Image Registration Method Combining Scale-Invariant Feature Transform with Co-Occurrence Filter and Histogram of Oriented Gradients Features
Published 2025-06-01“…Multi-modal remote sensing images often exhibit complex and nonlinear radiation differences which significantly hinder the performance of traditional feature-based image registration methods such as Scale-Invariant Feature Transform (SIFT). …”
Get full text
Article -
269
-
270
-
271
An Interpretable Method for Asphalt Pavement Skid Resistance Performance Evaluation Under Sand-Accumulated Conditions Based on Multi-Scale Fractals
Published 2025-05-01“…Existing research using only wavelet transforms or fractal theory to study the pavement surface texture-skid resistance relationship has limitations. …”
Get full text
Article -
272
-
273
-
274
INFLUENCE OF CHRONOTHERAPY WITH DIFFERENT ANTIHYPERTENSIVE DRUGS ON CIRCADIAN BLOOD PRESSURE PATTERN
Published 2016-01-01“…To determine the value of different blood pressure (BP) measurement methods for arterial hypertension (HT) chronotherapy efficacy assessment. …”
Get full text
Article -
275
Modeling of Photochemical and Photothermal Effects in Soft Tissue Subjected to Laser Irradiation
Published 2023-12-01“…The boundary element method and the finite difference method were used in the numerical implementation stage. …”
Get full text
Article -
276
Bi-LSTM based fault diagnosis scheme having high accuracy for Medium-Voltage Direct Current systems using pre- and post-processing
Published 2025-08-01“…The proposed scheme pre-processes the measured voltage and current data using a Discrete Wavelet Transform (DWT), considering a 60 × 100 2D window size. …”
Get full text
Article -
277
Network traffic anomaly detection method based on multi-scale characteristic
Published 2022-10-01“…Aiming at the problem that most of the traditional network traffic anomaly detection methods only pay attention to the fine-grained features of traffic data, and make insufficient use of multi-scale feature information, which may lead to low accuracy of anomaly detection results, a network traffic anomaly detection method based on multi-scale features was proposed.The original traffic was divided into sub-sequences with multiple observation spans by using multiple sliding windows of different scales, and the multi-level sequences of each sub-sequence were reconstructed by wavelet transform technology.Multi-level reconstructed sequences were generated by Chain SAE through feature space mapping, and a preliminary judgment of abnormality was made by the classifiers of each level according to the errors of the reconstructed sequences.The weighted voting strategy was adopted to summarize the preliminary judgment results of each level to form the final result judgment.Experimental results show that the proposed method can effectively mine the multi-scale feature information of network traffic, and the detection performance of abnormal traffic is obviously improved compared with traditional methods.…”
Get full text
Article -
278
A study on the effect of continuous impact load on thermal life of main transformer in urban rail transit
Published 2023-01-01“…However, the impact characteristics of the metro load is different from the general power load of the grid, resulting in a more complex effect on the thermal life loss of the main transformer. …”
Get full text
Article -
279
Macro and mesoscopic mechanical behavior of concrete with actual aggregate segmented by hybrid Transformers and convolutional neural networks
Published 2025-07-01“…A dual encoder concrete aggregate segmentation network (DECAS-Net) based on CNN and Transformer is developed to segment aggregates and construct a refined mesoscale model compatible with the discrete element method (DEM). …”
Get full text
Article -
280
Comparative experimental study of different bearings vibration using FFT and statistical feature extraction
Published 2025-01-01“…The vibration monitoring and analysis technique, which is a dependable and accurate assessment method to select a suitable bearing element, the Fast Fourier Transformation analysis was used for processing the vibration signal that was gathered from three different types of bearings for three different running speeds with two load levels. …”
Get full text
Article