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393  Articles
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The COVID-19 pandemic induced a digital transformation of education and inspired both instructors and learners to adopt and leverage technology for learning. This led to online learning becoming an important component of the new normal, with home-based vi... see more

Numeral classifiers are primarily used to provide semantic information about the physical and functional properties of objects, the cognitive categories of objects in a particular culture, and the perceptions of the speakers within a particular speech com... see more

Teknologi sangat berperan besar dalam masa pandemi COVID-19 dimana pemerintah mengeluarkan kebijakan pembatasan sosial dalam pengendalian penyebaran virus COVID-19. Pandemi mempengaruhi segala proses aktivitas normal sehingga masyarakat memerlukan digital... see more

Precise rainfall forecasting is a common challenge across the globe in meteorological predictions. As rainfall forecasting involves rather complex dynamic parameters, an increasing demand for novel approaches to improve the forecasting accuracy has height... see more

This work presents a failure diagnosis tool for a water pump using a low-cost MEMS accelerometer. It was inserted three types of failures: rotor blade (new and damaged), pump soleplate tightness (stiff or loose), and cavitation, in this case on three cond... see more

Background. The purpose of the study is to evaluate the effectiveness of the automatic computer diagnostic (ACD) systems developed on the basis of two classifiers — HAAR features cascade and AdaBoost for the detection of appendicitis and metastatic damage... see more

Recent progress in technology has altered the learning behaviors of students; besides giving a new impulse which reshapes the education itself. It can easily be said that the improvements in technologies empower students to learn more efficiently, effecti... see more

Machine learning techniques are applied on higher education data for analyzing the interac-tion between the students and electronic learning systems. This type of analysis serves in predicting students’ scores, in alerting students-at-risk, and in managin... see more

Recently, the use of machine learning (ML) algorithms has proven to be of great practical value in solving a variety of engineering problems including the prediction of failure, fault, and defect-proneness as the space system software becomes complex. One... see more

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