Results 21 to 30 of about 210,898 (254)
Tracking objects with co‐occurrence matrix and particle filter in infrared video sequences
IET Computer Vision, 2018 Tracking objects in infrared video sequences became a very important challenge for many current tracking algorithms due to several complex situations such as illumination variation, night vision, and occlusion. This study proposes a new tracker that uses
Issam Elafi +2 more
doaj +1 more source
Word Embedding With Zipf’s Context
IEEE Access, 2019 Word embeddings generated by neural language models have achieved great success in many NLP tasks. However, neural language models may be difficult to train and time consuming.
Lizheng Gao +3 more
doaj +1 more source
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 In this research, a group of gray texture images of the Brodatz database was studied by building the features database of the images using the gray level co-occurrence matrix (GLCM), where the distance between the pixels was one unit and for four angles (
Haider S. Kaduhm +1 more
doaj +1 more source
ANALISIS TEKSTUR PADA CITRA IRIS MATA MENGGUNAKAN ALGORITMA GRAY LEVEL CO-OCCURENCY MATRIX
Pilar Nusa Mandiri, 2019 According to data from the ministry of health, with the high intensity of use the gadget nowadays, therefore the number of people with eye disease is increasing.
Asti Herliana, Toni Arifin
doaj +1 more source
Mine flood perception based on gray level co-occurrence matrix and regression analysis
Gong-kuang zidonghua, 2020 Aiming at problems of low recognition rate and poor stability and timeliness when image recognition was used in mine flood perception, a mine flood perception method based on gray level co-occurrence matrix and regression analysis was proposed.
CAO Yuchao
doaj +1 more source
Weed recognition by SVM texture feature classification in outdoor vegetable crops images
Ingeniería e Investigación, 2017 This paper presents a classification system for weeds and vegetables from outdoor crop images. The classifier is based on support vector machine (SVM) with its extension to nonlinear case using radial basis function (RBF) and optimizing its scale ...
Camilo Pulido Rojas +2 more
doaj +1 more source
ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya +11 more
wiley +1 more source
Microorganisms, 2021 Salmonella enterica is common foodborne pathogen that generates both enteric and systemic infections in hosts. Antibiotic resistance is common is certain serovars of the pathogen and of great concern to public health.
Gavin J. Fenske, Joy Scaria
doaj +1 more source
Adaptive Thresholding Based On Co-Occurrence Matrix Edge Information
Journal of Computers, 2007 In this paper, an adaptive thresholding technique based on gray level co-occurrence matrix (GLCM) is presented to handle images with fuzzy boundaries. As GLCM contains information on the distribution of gray level transition frequency and edge information, it is very useful for the computation of threshold value.
M. M. Mokji, S. A. R. Abu-Bakar
openaire +1 more source
The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature
Pediatric Blood &Cancer, EarlyView.ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi +7 more
wiley +1 more source