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16 articles for “Grading”
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Research ArticleOpen accessEvery word in the titleAn Integrated Machine Learning Framework for Citrus Grading and Yield Prediction Using Classifier-Informed RegressionLydia Dede Obeng, Isaac O. OsunmakindeAgriculture remains a cornerstone of human sustenance, yet accurate citrus fruit grading and yield predictions remain significant challenges due to visual similarities between varieties such as oranges and grapefruits. This includes the inefficiencies of manual grading. This study presents a new dual-function machine learning system that integrates classification and regression to simultaneously grade citrus fruits and forecast crop yields. This … …Journal of Computer Science, Vol. 22, Issue 4 · 24 Apr 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Back Propagation Neural Networks for Grading Jatropha curcas Fruits MaturityZ. Effendi, R. Ramli, J. A. GhaniProblem statement: Jatropha curcas has the potential to become one of the world’s key energy crops. Crude vegetable oil, extracted from the seeds of the Jatropha plant, can be refined into high quality biodiesel. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,873 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAUTOMATIC ESSAY GRADING SYSTEM FOR SHORT ANSWERS IN ENGLISH LANGUAGEAli Muftah Ben Omran, Mohd Juzaiddin Ab AzizAutomatic Essay Grading (AEG) system is defined as the computer technology that evaluates and grades written prose. The short essay answer, where the essay is written in short sentences where it has two types the open ended short answer and the close ended short answer where it is our research domain based on the computer subject. The Marking of short … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 7,417 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNon-Hodgkin Lymphoma Risk Grading Through the Pathological Data by Using the Optimized Convolutional Lymphnet ModelSivaranjini Nagarajan, Gomathi MuthuswamyDiagnosing Non-Hodgkin Lymphoma (NHL) is difficult and often requires specialised training and expertise as well as extensive morphological investigation and, in certain cases, costly immunohistological and genetic techniques. Computational approaches enabling morphological-based decision making are necessary for bridging the existing gaps. Histopathological images can be accurately classified using deep learning approaches, however data on NHL subtyping is limited. However, there … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 4,545 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBreast Cancer Grading using Machine Learning Approach AlgorithmsHiba Nabeel Zalloum, Saada Al Zeer, Amir Manassra et al.Recently, Breast Cancer (BC) becomes a more common cancer disease in women and it considers the most important sign which leads to death among women. Therefore, it requires efficient methods for detecting it to reduce the risk of death. A positive prognosis and greater chances of survival are improved if the BC is detected early. Currently, machine learning plays an … …Journal of Computer Science, Vol. 18, Issue 12 · 22 Dec 2022 · 6,610 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison of in vitro Maturation Media on Cattle Oocytes after in vitro Embryo ProductionSindisiwe Mbali Sithole, Masindi Lottus Mphaphathi et al.The study was conducted to compare differences in vitro maturation media and their effect on subsequent in vitro embryo production. The study procedures were approved by the agricultural research council animal ethics committee (Ref no: APAEC 2020/05) and the Tshwane university of technology animal research ethics committee (Ref no: AREC 2021/08/004). Follicular fluid containing a suspension of oocytes was retrieved … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 1 · 23 Feb 2023 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for a Multi-Layered Security of an Automated Programming Code Assessment ToolMohd Fadzli Marhusin, Muhammad Firdaus Zul Kafli, Rossilawati Sulaiman et al.In a learning environment, a low student-lecturer ratio is considered a practical solution by many educational institutions. However, the number of students in information technology is increasing every year. This could lead to a significant increase in the workload of lecturers, who need to evaluate assignments, quizzes and projects. Hence, it is desirable that an automated assessment tool is used … …Journal of Computer Science, Vol. 11, Issue 2 · 18 Sep 2014 · 6,630 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptiCNN: Local thresholding segmentation and CNN with SVM Approach for Diabetic Retinopathy Detection and Classification of Fundus ImagesAnju Mishra, Mrinal Pandey, Laxman SinghDiabetic Retinopathy (DR) is a progressive eye disease that can lead to vision loss and blindness if left untreated. Ophthalmologists diagnose DR using medical imaging modalities such as fundus photography and optical coherence tomography (OCT); however, manual interpretation of these images is time-consuming and subject to inter-observer variability. While DR is irreversible, vision loss can be prevented through early detection … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Greater dose of Ractopamine Hydrochloride Enhances Feedlot Performance and Impacts Carcass Characteristics of Calf-Fed Holstein SteersJerilyn E. Hergenreder, Jonathon L. Beckett, Zachary K. Smith, Bradley J. JohnsonThe objective was to evaluate the effects of supplementing ractopamine HCl at the rate of 400 mg steer1 daily in the final 28 d of the feeding period on growth performance and carcass characteristics of Holstein steers. Steers (n = 1,498; initial BW = 547 kg) were randomly assigned to pens (10 pens/treatment) and to a treatment: (1) 0 mg∙steer1∙d1 … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 1 · 24 Mar 2021 · 6,832 accessesView PDFCite