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Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
Published 2024“…The fuzzy datasets provide adequate information on the type of diabetes diagnosis and level of care related to the type of diabetes diagnosis. All algorithms were compared based on the accuracy, precision, recall, F1-Score, and confusion matrix. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Building classification models from imbalanced fraud detection data / Terence Yong Koon Beh, Swee Chuan Tan and Hwee Theng Yeo
Published 2014“…Building classification models from such imbalanced data sets is a relatively new challenge in the machine learning and data mining community because many traditional classification algorithms assume similar proportions of majority and minority classes. …”
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Graphing calculator exposure of mathematics learning in a partially technology incorporated environment
Published 2017“…Integrating technology in the mathematics curriculum has become a necessary task for curriculum developers as well as mathematics practitioners across the world and time. …”
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…In conclusion,DRPF is implementable as prototype and has been highly accepted by Indonesian practitioners as aid for the diagnostics of diabetes.…”
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Grouper fish feed formulation using enhanced evolutionary algorithm with fibonacci rabbit initialization and binary-standard deviation tournament selection
Published 2023“…The results show that the fitness function of the EA is able to minimize the penalty values related to weight of ingredients and nutrients’ quality. …”
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Smartphone based wound shape measurement / Muhammad Azlan Othman
Published 2016“…A wound is a kind of injury that occurs relatively quickly in which skin is punctured, cut or torn. …”
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A systematic review on emperor penguin optimizer
Published 2021“…Emperor Penguin Optimizer (EPO) is a recently developed metaheuristic algorithm to solve general optimization problems. …”
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أخلاقيات توظيف تطبيقات الذكاء الاصطناعي والتحول الرقمي في الإعلام الأردني
Published 2026thesis::doctoral thesis -
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Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab
Published 2015“…This combination resulted in a new algorithm we named CBCSA. Based on the Relative Ultimate Measurement Accuracy for Area, the proposed algorithm was able to achieve an accuracy of 96% and 94% in the extraction of the blast cell region and the nuclear region, respectively. …”
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Dynamic forecasting model for short series age-specific mortality / Wan Zakiyatussariroh Wan Husin
Published 2017“…The feasibility of developing causal forecasting models for Malaysia ASDR using socioeconomic explanatory data could next be explored, along with the development of appropriate model evaluation techniques.…”
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