Search Results - (( developing intervention programs algorithm ) OR ( java application force algorithm ))
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Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…The studies show beyond technical algorithms, physical aspects plays a big rule in client server model. …”
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Assessment of crops healthiness via deep learning approach: Python / Mohamad Amirul Asyraf Mohd Ramli
Published 2023“…This research utilizing the Python programming language and the PyCharm integrated development environment (IDE) to integrate coding into the processing. …”
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Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh
Published 2018“…A comprehensive paradigm was designed to probe the event-related potential (ERP) components and a novel single-trial algorithm was developed to detect and extract the ERP components features. …”
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Performance of hybrid GANN in comparison with other standalone models on dengue outbreak prediction
Published 2016“…Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. …”
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Predicting students’ STEM academic performance in Malaysian secondary schools using educational data mining
Published 2023“…Finally, this study can identify academically-at-risk students and develop early intervention.…”
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Examining the potential of machine learning for predicting academic achievement: A systematic review
Published 2023“…The capability to forecast student performance empowers universities to devise an intervention strategy either at the beginning of a program or during a semester, which allows them to tackle any issues that may arise proactively. …”
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Examining the potential of machine learning for predicting academic achievement: A systematic review
Published 2023“…The capability to forecast student performance empowers universities to devise an intervention strategy either at the beginning of a program or during a semester, which allows them to tackle any issues that may arise proactively. …”
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques
Published 2021“…Finally, the Buildings Footprint developed based on the algorithm was compared with the Buildings Footprint developed manually to assess the accuracy of the results. …”
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Validation of deep convolutional neural network for age estimation in children using mandibular premolars on digital panoramic dental imaging / Norhasmira Mohammad
Published 2022“…Overall, deep learning using the Tensorflow.Keras (tf.keras) application programming interface (API) makes the development of the DCNN model easier. …”
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Beyond Grades - Predicting Programme Learning Outcomes with Multi-Output Regression in Malaysian Higher Education
Published 2025journal-article
