Results 41 to 50 of about 253,991 (289)

Examining Thresholding and Factors Impacting Snow Cover Detection Using Nighttime Images

Remote Sensing, 2023
Nighttime remote sensing data from the Visible Infrared Imaging Radiometer suite day/night band (VIIRS DNB) enable snow cover detection from full moonlight reflection.
Renato Stopic, Eduardo Dias
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Image-Based Concrete Crack Detection Method Using the Median Absolute Deviation

Sensors
This paper proposes an innovative approach for detecting and quantifying concrete cracks using an adaptive threshold method based on Median Absolute Deviation (MAD) in images.
Juan Camilo Avendaño, John Leander, Raid Karoumi   +2 more
doaj   +1 more source

A machine-learning approach to setting optimal thresholds and its application in rolling bearing fault diagnosis

Machine Learning: Science and Technology, 2023
Bearings are one of the critical components of any mechanical equipment. They induce most equipment faults, and their health status directly impacts the overall performance of equipment.
Yao-Chi Tang, Kuo-Hao Li
doaj   +1 more source

Two-Sample Tests for High Dimensional Means with Thresholding and Data Transformation [PDF]

, 2014
We consider testing for two-sample means of high dimensional populations by thresholding. Two tests are investigated, which are designed for better power performance when the two population mean vectors differ only in sparsely populated coordinates.
Chen, Song Xi, Li, Jun, Zhong, Ping-Shou
core   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait, R. Al‐Saadi, A. Lopez‐Cortes, K. Dzhuma, M. Oostveen, J. Brok, S. Irtan, M. Weeks, J. Bate, S. Baker, R. Williams, M. Powis, D. Saunders, O. Olsen, T. Watson, S. Shelmerdine, S. Vaidya, L. Howell, C. Duncan, G. M. Vujanic, C. Stiller, G. P. Balchin, T. Chowdhury, K. Pritchard‐Jones   +23 more
wiley   +1 more source

Flood Detection with SAR: A Review of Techniques and Datasets

Remote Sensing
Floods are among the most severe and impacting natural disasters. Their occurrence rate and intensity have been significantly increasing worldwide in the last years due to climate change and urbanization, bringing unprecedented effects on human lives and
Donato Amitrano, Gerardo Di Martino, Alessio Di Simone, Pasquale Imperatore   +3 more
doaj   +1 more source

Improved Degraded Document Image Binarization Using Median Filter for Background Estimation

Elektronika ir Elektrotechnika, 2018
In this paper, we propose a new binarization method suitable for images having a variety of sizes and degradation levels. It is mainly based on the idea of estimating a document background surface by new smoothing approach through a median filter and ...
Mehdi Khitas, Lahcene Ziet, Saad Bouguezel   +2 more
doaj   +1 more source

A Novel Hybrid Image Segmentation Method for Detection of Suspicious Regions in Mammograms Based on Adaptive Multi-Thresholding (HCOW)

IEEE Access, 2021
Suspicious region segmentation is one of the most important parts of CAD systems that are used for breast cancer detection in mammograms. In a CAD system, there can be so many suspicious regions determined for a mammogram because of the complex structure
Guliz Toz, Pakize Erdogmus
doaj   +1 more source

Iterative Log Thresholding

, 2013
Sparse reconstruction approaches using the re-weighted l1-penalty have been shown, both empirically and theoretically, to provide a significant improvement in recovering sparse signals in comparison to the l1-relaxation.
Aravkin, Aleksandr, Malioutov, Dmitry
core   +1 more source