Research on the Integration of Sensing and Communication Based on Fractional-Order Fourier Transform by Mingyan Qi, Yuelong Su, Zhaoyi Wang, Kun Lu

“…First, the fractional-order Fourier transform (FRFT) is introduced, and the golden section method, parabolic interpolation, and Brent method are applied to search for the optimal fractional-order domain to accurately estimate the parameters of the linear frequency modulation (LFM) signal. …”
Get full text

A Diagnosis Method for Noise and Intermittent Faults in Analog Circuits Based on the Fusion of Multiscale Fuzzy Entropy Features and Amplitude Features by Junyou Shi, Yilei Hou, Zili Wang, Zhilin Yang, Zhenyang Lv

“…Although the proposed method does not have the lowest diagnostic cost and the fastest detection time, the differences with state-of-the-art methods are minimal, and the proposed method achieves higher classification accuracy. …”
Get full text

Voltage mapping relationship based single-phase-to-ground fault sector location method for low resistance neutral grounded system by Zhihua Zhang, Yuxiao Xing, Bingyin Xu, Haojie Shi, Guang Li, Yongliang Liang

“…With the increasing deployment of Transformer Distribution-Smart Fusion Terminal(TD-SFT), Low-Voltage (LV) monitoring data are becoming more abundant. …”
Get full text

Do Preparation Techniques Transform the Metabolite Profile of Platelet-Rich Plasma? by Bilge Başak Fidan, Emine Koç, Emine Çiftçi Özotuk, Ozan Kaplan, Mustafa Çelebier, Feza Korkusuz

Get full text

The Bright Feature Transform for Prominent Point Scatterer Detection and Tone Mapping by Gregory D. Vetaw, Suren Jayasuriya

“…This paper introduces a fast image-processing method to visually identify and detect point scatterers in synthetic aperture imagery using the bright feature transform (BFT). …”
Get full text

Fourier and Inverse Fourier Transform Model for Delayed Self-interferometry System by Ling Zhang, Weilin Xie, Yuxiang Feng, Zhangweiyi Liu, Haijun Zhou, Yinxia Meng, Yuanshuo Bai, Wei Wei, Yi Dong

“…To precisely study the performance limit caused by laser frequency noise, here we propose and demonstrate a versatile model based on the Fourier and inverse Fourier transform (FIFT) method. This model, capable of estimating the beat note spectra of different delayed self-interferometry (DSI) with laser sources of arbitrary frequency noise properties, allows for accurate evaluations of the noise performance in a variety of interferometry based systems. …”
Get full text

Single image de-raining by multi-scale Fourier Transform network. by Chaobing Zheng, Yao Yao, Wenjian Ying, Shiqian Wu

“…In this paper, we propose a novel approach for single-image de-raining that is guided by Fourier Transform prior knowledge. Our method utilises inherent frequency domain information to efficiently reduce rain streaks and restore image clarity. …”
Get full text

Track Detection Algorithm Based on Trace Correlation Using Hough Transform by A. A. Monakov

“…However, the effective practical application of the Hough transform requires a sufficiently long time of measurement. …”
Get full text

Urban Sewage Treatment Monitoring Based on 3DEEM Regional PCA by Wang Zonghua, MA Xiaohang, Zhang Jun, Du Li

“…The study validated the application value of the given regional principal component analysis method in monitoring organic matter changes in urban sewage treatment processes, providing quantitative basis for understanding the behavior patterns of different organic substances in sewage treatment processes. …”
Get full text

A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses by Amir Ezzodin, Gholamreza Ghodrati Amiri, Hosein Naderpour, Morteza Raissi Dehkordi

“…The results revealed that the proposed combinatorial method could efficiently diagnose the damage in the RC frames. …”
Get full text

Analysis of causal pathogens of mulberry bacterial blight in samples collected from eight provinces of China using culturomics and metagenomic sequencing methods by Xinpeng Huang, Ting Yuan, Yuxin Huang, Izhar Hyder Qazi, Jiping Liu

“…In recent years, the transformation of sericulture industry, mulberry production system, and increasing seedling trade have resulted in the spread of MBB to different parts of China, posing a major economic threat to the farmers and industry. …”
Get full text

The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

“…It was aimed to examine the effects of data transformation on naive Bayes (NB), C5.0 and support vector machines (SVM) by applying minimum-maximum and z-score normalisation and equal width and equal frequency spacing discrimination methods to different types of data produced by simulation. …”
Get full text

Estado nutricional de mangueiras determinado pelos métodos DRIS e CND Nutritional status of mango determined by DRIS and CND methods by Lucas S. Politi, Rilner A. Flores, Juliana A. S. da Silva, Paulo G. S. Wadt, Paulo A. da C. Pinto, Renato de M. Prado

“…Thus, the objective of this study was to compare the diagnosis of nutritional status of mango obtained by different methods of assessing nutritional status, comparing multivariate relations (method CND) with bivariate relationships (DRIS) i.e., variations in the use of specific or preliminary standards and a logarithmic transformation of the data. …”
Get full text

Opportunities and practices supporting responsive health care for forced migrants: lessons from transnational practice and a mixed-methods systematic review by Amy Robinson, Protus Musotsi, Ziaur Rahman A Khan, Laura Nellums, Bayan Faiq, Kofi Broadhurst, Gisela Renolds, Michael Pritchard, Andrew Smith

“…We included experimental and observational studies, qualitative studies and primary mixed-method studies allowing us to draw on the strength of the different constituent research approaches to produce a broad conceptualisation of evidence, deemed especially useful in the case of complex interventions or complex systems. …”
Get full text

Assessment of patient satisfaction level in the State University of Haiti Hospital and responsible factors: a cross-sectional mixed-methods study protocol by Hugins Millien, Thaïmye Joseph

“…The aim of this study is to assess patient satisfaction and identify influencing factors.Methods and analysis We will conduct a mixed-methods cross-sectional survey at Haiti’s largest hospital centre from January to August 2024. …”
Get full text

Dynamic Localized SNV, Peak SNV, and Partial Peak SNV: Novel Standardization Methods for Preprocessing of Spectroscopic Data Used in Predictive Modeling by Emily Grisanti, Maria Totska, Stefan Huber, Christina Krick Calderon, Monika Hohmann, Dominic Lingenfelser, Matthias Otto

“…Peak and Partial Peak SNV are based on picking regions from the spectra with a high correlation to the target value and perform SNV on these essential regions to ensure optimal scatter correction. All proposed methods are able to significantly improve the model performance in cross validation and robustness tests compared to SNV. …”
Get full text

Acoustic Emission Monitoring Method for Multi-Strand Fractures in Post-Tensioned Prestressed Hollow Core Slab Bridges Using Waveguide Rods by Wei Yan, Shiwei Niu, Wei Liu, Juan Li, Shu Si, Xilong Qi, Shengli Li, Nan Jiang, Shuhan Chen, Guangming Wu

“…In this study, a test platform based on practical engineering was built. The AE monitoring method using a waveguide rod was applied to identify signals from different numbers of strand fractures, and their acoustic characteristics were analyzed using Fourier transform and multi-bandwidth wavelet transform. …”
Get full text

Synthesis and Characterization of Co-Doped SnO2/TiO2 Semiconductor Nano Crystallites Via Sol-Gel Method by H.Z.R. Hamoon, G.S. Devi1, H. Beigi, J.V.R. Rao, K.R. Reddy, A. Nanaji

“…The Co-doped SnO2/TiO2 nano particles were obtained via sol-gel method with different amounts of doping material as 2.5 %, 6 % and 10 mol %. …”
Get full text

MT-EfficientNetV2: A Multi-Temporal Scale Fusion EEG Emotion Recognition Method Based on Recurrence Plots by Zihan Zhang, Zhiyong Zhou, Jun Wang, Hao Hu, Jing Zhao

“…Despite the proposal of various deep learning-based methods for extracting emotional features from EEG signals, most existing models struggle to effectively capture both long-term and short-term dependencies within the signals, failing to fully integrate features across different temporal scales. …”
Get full text

A comparative study of regression methods to predict forest structure and canopy fuel variables from LiDAR full-waveform data by P. Crespo-Peremarch, L.A. Ruiz, A. Balaguer-Beser

“…Square-root transformation of the dependent variable is the method having the best overall results, except for stand volume. …”
Get full text