Speech Enhancement Based on the Multi-Scales and Multi-Thresholds of the Auditory Perception Wavelet Transform by Zhi TAO, He-Ming ZHAO, Xiao-Jun ZHANG, Di WU

“…This paper proposes a speech enhancement method using the multi-scales and multi-thresholds of the auditory perception wavelet transform, which is suitable for a low SNR (signal to noise ratio) environment. …”
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Automatic Identification and Suppression of Random Noise and Methods for Profile Splicing in the Sub-Bottom Profile of Deep Water by Xia Feng, Weifeng Ding

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Threshold Selection for POT Framework in the Extreme Vehicle Loads Analysis Based on Multiple Criteria by Guangrun Wu, Wenliang Qiu

“…The selection of thresholds for the POT method is extremely crucial, but the selected optimal threshold varies under different test criteria. …”
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PAdaptCD: Progressive Adaptive Thresholding and Bitemporal Image Augmentation for Semisupervised Change Detection by Linlin Wang, Junping Zhang, Dong Chen, Lorenzo Bruzzone

“…In this article, we propose a novel SSCD method, PAdaptCD, which incorporates a progressive adaptive dual-threshold (PADT) strategy designed for selecting relatively balanced and reliable classwise pseudolabels. …”
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Comparing Jaffe and Enzymatic Methods for Creatinine Measurement at Various Icterus Levels and Their Impacts on Liver Transplant Allocation by Neda Soleimani, Sima Dehghani, Mohammad Hossein Anbardar, Sahand Mohammadzadeh, Elaheh Amirinezhad Fard, Atefeh Zare Sheibani, Mohammad Javad Esmaeili, Marsa Ebrahimi

“…In icteric samples, the enzymatic method produced higher results for the creatinine concentrations than the Jaffe method did, and the mean creatinine difference rose from 0.08 in nonicteric group to 1.95 in groups with severe icterus. …”
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An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation by Liang Xiang, Xiajie Zhao, Jianfeng Wang, Bin Wang

“…However, existing threshold image-segmentation methods suffer from the problem of easily falling into locally optimal thresholds, resulting in poor image segmentation. …”
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Optimizing irrigation scheduling for maize based on soil moisture threshold and water consumption intensity by LIANG Xue, XUE Bing, LI Fangfang, CUI Yirui, MA Yangtao, WEI Changzhou, JIANG Yan

“…[Conclusion] The proposed method, based on soil moisture thresholds and crop water consumption, provides a more scientifically grounded approach to allocate irrigation water across growth stages. …”
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Multi-Level Thresholding Color Image Segmentation Using Modified Gray Wolf Optimizer by Pei Hu, Yibo Han, Zheng Zhang

“…To acquire the optimal thresholds at different levels, we modify the GWO (MGWO) in terms of leader selection, position update, and mutation. …”
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Image Denoising Based on Improved Wavelet Threshold Function for Wireless Camera Networks and Transmissions by Xiaoyu Wang, Xiaoxu Ou, Bo-Wei Chen, Mucheol Kim

“…It not only retains the advantages of hard and soft denoising functions but also overcomes the disadvantages of the continuity problem of hard denoising function and the constant deviation of the soft denoising function in the new method. In the case of the improved threshold conditions, the new threshold function has a better performance in outstanding image details. …”
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Oil Film Detection for Marine Radar Image Using SBR Feature and Adaptive Threshold by Yulong Yang, Jin Yan, Jin Xu, Xinqi Zhong, Yumiao Huang, Jianxun Rui, Min Cheng, Yuanyuan Huang, Yimeng Wang, Tao Liang, Zisen Lin, Peng Liu

“…Comparative experiments using different threshold values demonstrate that the proposed method achieves superior segmentation performance by better preserving oil spill boundaries and reducing background noise. …”
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Teacher Candidates' Opinions on the Threshold Score and Formation Training in the Department of Fine Arts Education by Büşra Keleş, Edanur Öztürk, Zühal Dinç Altun

“…In the data collection phase of the research, teacher candidates at different class levels studying in the Painting-Teaching program of the Fine Arts Education Department at a state university were selected as the study group through a non-random non-probability sampling method, convenience sampling. …”
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Evaluation of the Effectiveness of Baselines and Thresholds Intensity Epidemics, According to the Results of Traditional Surveillance for Influenza by L. S. Karpova, A. A. Sominina, D. M. Danilenko, K. M. Volik, V. N. Leonenko

“…The aim of the study was to improve the traditional surveillance of influenza and common cold in Russia in accordance with the requirements of the World Health Organization. Materials and methods. Weekly epidemic thresholds (NEP), as well as baseline (BL) and epidemic intensity thresholds, were calculated on average for the entire population of the cities and individual federal districts observed. …”
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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…In this model, we construct a multi-threshold feature separation module to capture edge and texture features from different levels and specified intensities of the input image. …”
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Randomized Controlled Trials to Define Viral Load Thresholds for Cytomegalovirus Pre-Emptive Therapy. by Paul D Griffiths, Emily Rothwell, Mohammed Raza, Stephanie Wilmore, Tomas Doyle, Mark Harber, James O'Beirne, Stephen Mackinnon, Gareth Jones, Douglas Thorburn, Frank Mattes, Gaia Nebbia, Sowsan Atabani, Colette Smith, Anna Stanton, Vincent C Emery

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The ten-year probability of fractures with the FRAX tool: which threshold for intervention to be used and how? by O. M. Lesnyak, E. N. Gladkova, O. B. Ershova, I. A. Skripnikova, O. N. Anoshenkova, Yu. R. Akhverdyan, K. Yu. Belova, I. B. Belousova, E. V. Bolshakova, A. V. Dreval, B. V. Zavodovsky, M. V. Ilyin, O. V. Kosmatova, L. V. Kryukova, A. A. Latfullin, E. A. Leikauskene, N. V. Leonova, Yu. V. Maksimova, M. A. Myagkova, V. E. Novikov, A. R. Nuriev, E. Yu. Polyakova, Yu. V. Polyakova, L. E. Sivordova, V. A. Tavluev, L. R. Shavalieva

“…Objective: to analyze the clinical and organizational feasibility of using different intervention thresholds for the Russian population.Subjects and methods. …”
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Modeling Asymmetric Shift in the Threshold Voltage of MOS Structures under Thermal Field Treatment by O. V. Aleksandrov, N. N. Morozov

“…Following the analysis of physical processes, a system of differential equations is compiled and solved by the finite difference method using explicit and implicit difference schemes.Results. …”
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Reliability of the use of foot pressure pain threshold in adults: a test-retest analysis by Lidia Mayorga-Vega, Ana Maria Jimenez-Cebrian, Francisco Javier Barón-López, Alonso Montiel-Luque, Juan Carlos Benavente-Marín, Julia Warnberg

“…Method Using a JTECH Commander digital algometer, an experienced podiatrist measured the pressure pain thresholds at four locations on the sole of the dominant and non-dominant foot (head of the first metatarsal, head of the fifth metatarsal, pulp of the first toe, and center of the heel) in 15 male and 16 female volunteers aged 55 to 75. …”
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Thresholds of Abnormality Perception in Facial Esthetics among Laypersons and Dental Professionals: Frontal Esthetics by Raed H. Alrbata, Ayham Kh. Alfaqih, Mohammad R. Almhaidat, Ahmad M. Al-Tarawneh

“…Using ANOVA and Tukey post hoc tests at P<0.05, the image that showed the first statistical difference compared to the baseline was considered as a threshold of abnormality. …”
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Attentive ink MLP droplet detection algorithm based on the satellite droplets threshold domain by Yin Wang, Yali Qi, Likun Lu, Qingtao Zeng

“…Traditional empirical tuning methods struggle to effectively control and predict satellite droplet. …”
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BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node by Qin Bo, Liu Yongliang, Wang Jianguo, Qin Yan, Yang Yunzhong

“…In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes randomly selected,a BA- ELM gear fault diagnosis method is puts forward based on energy feature of wavelet packet optimal nodes.First,the gear vibration signals are decomposed by using wavelet packet in this method,the optimal nodes is selected by using the correlation coefficient between each node decomposition signals and original signal,and the energy feature is calculated.Second,the bat algorithm is used to optimize the extreme learning machine input weights and threshold of hidden layer node and the gear fault classification model of BA-ELM is established.Finally,the energy entropy feature vectors of the optimal wavelet packet nodes as the model input is used to identify the different fault states of gear.The experimental results show that,comparing with SVM and ELM fault classification method,the BA-ELM gear fault diagnosis method based on energy feature of wavelet packet optimal nodes has higher classification accuracy and better generalization ability.…”
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