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IMAGE SEGMENTATION AND OBJECT SELECTION BASED ON MULTI-THRESHOLD PROCESSING
Published 2019-07-01“…The developed image segmentation and object selection approach having optimal selection threshold assessment is based on the results of multi-threshold image analysis. …”
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Adaptive Select Loss Strategy for Semantic Segmentation of Agricultural Crop Images
Published 2025-01-01“…To ensure stability during training, we introduce a derivative smoothing mechanism that addresses the convergence issues introduced by the hard selection threshold, particularly when training with small number of images for loss aggregation. …”
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Early selection of superior germplasm for oil-producing Eucalyptus maideni F. v. Muell
Published 2025-07-01“…Using the mean + standard deviation (C + σ) as the selection threshold, two superior families (Families 2 and 3) and 56 elite seedlings were preliminarily identified across both growth stages. …”
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Adropin expression reflects circadian, lipoprotein, and mitochondrial processes in human tissues
Published 2025-09-01“…ENHO/adropin-related transcriptional structures with >1000 genes meeting the selection threshold (q < 0.001) occurred in 11/20 tissues. …”
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Differential Evolution-Based Transient Search Optimizer for Image Multi-Thresholding Problem
Published 2025-07-01“…By grouping correlated pixels according to the selected thresholds, the thresholding approach improves the image. …”
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Selection of the threshold for detecting pipe defects to eliminate the errors of the first type and reduce the errors of the second type
Published 2024-03-01“…Analysis of the system operation with a selected threshold value was carried out.…”
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Mendelian Randomization Study Supports Genetic Liability to Obsessive–Compulsive Disorder Associated With the Risk of Alzheimer's Disease
Published 2024-10-01“…Furthermore, all results were replicated in MR analyses based on lenient IV selecting thresholds. The sensitivity tests indicated that MR results were stable and not affected by significant horizontal pleiotropy. …”
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CEOs’ characteristics and the performance of microfinance institutions in Africa: a multitier model approach
Published 2025-12-01“…We find that all variables employed are significant as shown by small observed p-values below the selected threshold of 5% and significantly higher t-values greater than 2.96. …”
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A Gate-Level Power Estimation Approach with a Comprehensive Definition of Thresholds for Classification and Filtering of Inertial Glitch Pulses
Published 2024-08-01“…Electronic Design Automation (EDA) software considers inertial gate delays and represses a glitch in the cell’s output if its width is below a threshold. Selecting threshold values for the inertial glitch classification and filtering is crucial for precise power estimations. …”
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Automatic Threshold Selection for Generalized Pareto and Pareto–Poisson Distributions in Rainfall Analysis: A Case Study Using the NOAA NCDC Daily Rainfall Database
Published 2025-01-01“…Both extreme-excess modeling and extreme-value analysis of precipitation events frequently utilize the Generalized Pareto (GP) distribution to model peaks above a selected threshold. However, selecting an appropriate threshold remains a complex and challenging task, which has discouraged many practitioners from employing Pareto or Pareto–Poisson distributions for extreme-value analysis. …”
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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA
Published 2024-01-01“…By using simple local adaptive selection thresholds, a Winner-Take-All (WTA) constraint on each layer, and a modified weight update rule that is more amenable to hardware, the trainer module allocates neuronal resources optimally at each layer without having to pass high-precision error measurements across layers. …”
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Geochemical Background Values for the Characterization of Sediment Contamination with Trace Elements in Romania: A Case Study in the Lower Danube Basin
Published 2025-02-01“…By using these thresholds, pollution indices were calculated for nine sampling locations, from which suspended sediment, bottom sediment, and active floodplain sediment samples were collected and analyzed in an accredited laboratory. Most of the selected thresholds were found to be below the limits for sediments established by Romanian legislation, except for Cr and Ni, the higher values of which are consistent with the specific geological background of the country and the broader Balkan region.…”
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Power and predictive accuracy of polygenic risk scores.
Published 2013-03-01“…Here, the power and predictive accuracy of a polygenic score are derived from a quantitative genetics model as a function of the sizes of the two samples, explained genetic variance, selection thresholds for including a marker in the score, and methods for weighting effect sizes in the score. …”
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A New Method for Weak Fault Feature Extraction Based on Improved MED
Published 2018-01-01“…The method uses the shuffled frog leaping algorithm (SFLA), finds the set of optimal filter coefficients, and eventually avoids the artificial error influence of selecting threshold parameter. Therefore, the fault bearing under the two rotating speeds of 60 rpm and 70 rpm is selected for verification with typical low-speed fault bearing as the research object; the results show that SFLA-MED extracts more obvious bearings and has a higher signal-to-noise ratio than the prior MED method.…”
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Framelet transform based edge detection for straight line detection from remote sensing images
Published 2017-01-01“…Classical edge detection operators available in literature are easy to implement, but not all the edge detection operators is suitable for remote sensing images in terms of selecting threshold and kernel function. There is no acceptable method to select the parameters in classical edge detection methods. …”
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The Association of Postcardiac Surgery Acute Kidney Injury with Intraoperative Systolic Blood Pressure Hypotension
Published 2013-01-01“…Markers reflective of intraoperative systolic blood pressure variation were derived for each patient including (1) peak and nadir values (absolute and relative to baseline) and (2) excursion episodes beyond selected thresholds (by duration, frequency, and duration × degree). …”
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Eoldist, a Web Application for Estimating Cautionary Detection Distance of Birds by Automatic Detection Systems to Reduce Collisions With Wind Turbines
Published 2025-02-01“…Based on this data, Eoldist allows the user to select a species from the database, wind turbine characteristics, and a residual rotor speed (3 or 2 rpm); it then calculates the time to reach the selected threshold and provides a distribution curve for the cautionary detection distance needed to prevent collision. …”
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Enhancing the robustness of Mendelian randomization studies: lessons from a two-sample analysis of viral infections and colorectal cancer
Published 2024-12-01“…However, several aspects of the methodology warrant scrutiny, including the relaxation of instrumental variable selection thresholds, the handling of potential pleiotropy, and the interpretation of biologically implausible findings. …”
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Enhancing Prostate Cancer Detection: Integrating Multiparametric Magnetic Resonance Imaging and 68Ga-prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomogr...
Published 2025-04-01“…Results: MpMRI demonstrated an AUC of 0.91, with a sensitivity of 77% and specificity of 89% at the selected threshold (Prostate Imaging-Reporting and Data System 4). …”
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