Evaluating Genomic Selection in beef cattle: Insights from computer simulations using real SNP data by Lino César Ramírez Ayala, Jordi Leno-Colorado, Laura M. Zingaretti, Elies Ramón Gurrea, Yuliaxis Ramayo-Caldas, Miguel Pérez-Enciso

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Perception Analysis of Complexity, Computer Anxiety, and Self-Efficacy of the Village Treasurer towards the Use of the SISKEUDES Application by Aurelia Melinda Nisita Wardhani, Nicolaas Aditya Ryantama

“…Meanwhile, complexity does not have a significant effect on perceived ease of use IS users. In addition, computer anxiety has no significant effect on the ease of using the SISKEUDES.…”
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Computer-Aided Cobb Measurement Based on Automatic Detection of Vertebral Slopes Using Deep Neural Network by Junhua Zhang, Hongjian Li, Liang Lv, Yufeng Zhang

“…Vertebral slopes can be predicted by DNN. The computer-aided system can be used to perform automatic measurements of Cobb angle, which is used to make reliable and objective assessments of scoliosis.…”
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Decompression of Multiple Tension Pneumatoceles in a Child Using Computed Tomography-Guided Percutaneous Catheter Placement by Shu-Wing Ku, Tak-Ching Yu, Kam-Wai Chan

“…The condition was successfully treated with computed tomography-guided percutaneous catheter placement using a pigtail catheter for decompression. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…We assess the ability of our models to predict larval weight from images through morphometric weight prediction and CNN-regression approaches.A notable contribution of this study is the pioneering effort to classify BSF larval sex using CV and deep learning (DL). In the analysis of larval weight prediction, a coefficient determination (R2) of up to 0.80 between measured and predicted weight was achieved using the morphometric weight prediction approach, along with an R2 of 0.71 through the CNN-regression approach. …”
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Comparative analysis of prevalence of apical periodontitis in smokers and non-smokers using cone-beam computed tomography by Hanan A. Balto, Lama Alabdulaaly, Shaima Bahammam, Asma'a A. Al-Ekrish

“…Objective: The aim of this study was to compare the prevalence and size of periapical lesions among smokers and non-smokers using cone-beam computed tomography (CBCT). Materials and methods: Retrievable CBCT datasets for 46 male patients ≥18 years during a consecutive period from 2008 to 2016 were examined. …”
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Immersive Virtual Painting: Pushing Boundaries in Real-Time Computer Vision using OpenCV with C++ by Satyam Mishra, Vu Duy Trung, Le Anh Ngoc, Phung Thao Vi, Sundaram Mishra

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Microstructural analysis of accessory canals in the furcation area of the mandibular first molar using micro-computed tomography by Megumi Suzuki, Norio Kasahara, Satoru Matsunaga, Masashi Yamada, Shinichi Abe, Masahiro Furusawa

“…The aim of this study was to examine the three-dimensional structure of ACFs using ultra-high-resolution micro-computed tomography (micro-CT), and their incidence on the basis of the existing classification system. …”
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Edge Computing-Based Real-Time Forest Fire Detection Using UAV Thermal and Color Images by Lingxia Mu, Yichi Yang, Ban Wang, Youmin Zhang, Nan Feng, Xuesong Xie

“…In this article, an edge computing-based real-time forest fire detection strategy is designed using the uncrewed aerial vehicle (UAV). …”
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Assessing the density of the vitreous body in young people with type I diabetes using multispiral computer tomography by N. M. Juldasheva, F. S. Tadzhieva

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BREAST-CAD: A Computer-Aided Diagnosis System for Breast Cancer Detection Using Machine Learning by Riyam M. Masoud, Ramadan Madi Ali Bakir, M. Sabry Saraya, Sarah M. Ayyad

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Eco Buddy: A Novel Robotic Platform for Automatic Waste Classification using Computer Vision and IoT by Armando Guevara, Irene López, Fernando Chávez, Manuel Cardona, Josue Aldana-Aguilar, Isidro Marroquín

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Structural investigations of the normal ostrich head using anatomical sections, computed tomography, and magnetic resonance imaging by Mohamed Aref, Mustafa Abd El Raouf, Ahmed Abdelbaset-Ismail, Gamal A. Salem, Walaa O. M. Youssef, Mohamed A. Nassan, Catrin S. Rutland, Eman A. A. Mahdy

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A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation by Sefa Aydin, Mesut Melek, Levent Gökrem

“…Nowadays, brain–computer interface (BCI) systems are frequently used to connect individuals who have lost their mobility with the outside world. …”
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PERFORMANCE ANALYSIS OF TASK SCHEDULING USING HYBRID GENETIC MODIFIED WHALE OPTIMIZATION ALGORITHM IN CLOUD COMPUTING by S. Kavitha, G. Paramasivam

“…Cloud computing plays a vital role, which is used to access computing resources and information online. …”
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Potential for intramyocardial fibrosis detection based on estimation of extracellular volume using dual-energy computed tomography by E. A. Mershina, D. A. Filatova, M. V. Lisitskaya, E. V. Ryzhkova, R. P. Myasnikov, V. E. Sinitsyn

“…They can be avoided by using dual-energy computed tomography (DECT), which makes it possible to identify myocardial fibrosis, including small-focal fibrosis, in two different ways (subtraction technique and iodine density measurement technique). …”
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Assessment of degenerative changes in the atlanto-odontoid joint using cone-beam computed tomography (CBCT) imaging by Ramazan Berkay Peker, Omer Said Sezgin, Saadettin Kayipmaz, Senem Tuğra Dönmez

“…Background This study sought to evaluate the severity of osteoarthritis in the atlanto-odontoid joint (AOJ) using cone-beam computed tomography (CBCT) and analyse its distribution by age and sex. …”
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Using a Virtual Computing Laboratory to Foster Collaborative Learning for Information Security and Information Technology Education by Abdullah Konak, Michael R. Bartolacci

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A Computer-Directed Geographic Coastal Use Classification System for Ecologic Planning: The Case of the Florida Keys by Gustavo A. Antonini, Leonard Zobler, Robert Swett

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Methodology for determining the amount of ferrite and pearlite in cast iron using standard computer image processing programs by A. I. Pokrovsky

“…Standard GOST 3443–87 used in metallurgical practice does not permit an accurate quantitative assessment of the content of pearlite and ferrite in the structure of cast iron while specialized software for computer image analysis is rather expensive, are not available to all enterprises and, moreover, require highly qualified staff.In this work, a new, simple technique is proposed for determining the amount of ferrite and pearlite in cast iron using a special etchant that provides a high-contrast image, and standard computer image processing programs, which permit obtaining a grayscale histogram where the shades of gray vary from black to white in the range from 0 to 255. …”
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