Search Results - (( based education self algorithm ) OR ( panel communication system algorithm ))
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Integration Of Machine Vision In Industrial Robot For Automated Composite Panel Punching
Published 2018“…The second objective is to develop and integrate communication interface program for KRC4 and Raspberry Pi (RPi) microcontroller and to evaluate the performance of visual servoing control system for automated composite panel punching. …”
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Advanced solar tracking system with temperature control and real-time monitoring
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Network-based real-time integrated Fire Detection and Alarm (FDA) system with building automation
Published 2017“…This work proposes an improved framework for FDA system to ensure a robust intelligent network of FDA control panels in real-time. …”
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A real-time integrated fire detection and alarm (FDA) system for network based building automation
Published 2017“…The framework shares information through the algorithm and communicates with each fire alarm panels connected in peer to peer configuration to declare the network state in every second using network address. …”
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A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
Published 2023Conference Paper -
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Analyzing enrolment patterns: modified stacked ensemble statistical learning based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Analyzing enrolment patterns: Modified stacked ensemble statistical learning-based approach to educational decision-making
Published 2024“…Moreover, the introduction of the novel modified stacked ensemble statistical learning-based algorithm had improved predictive accuracy compared to traditional dichotomous logistic regression algorithms on average, particularly at optimal training-to-test ratios of 70:30, 80:20, and 90:10. …”
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Analyzing enrolment patterns: Stacked ensemble statistical learning-based approach to educational decision making
Published 2023“…The findings revealed that determinants such as education disciplines, ethnicity, gender, mathematics self-efficacy, peer influence, and teacher influence had significantly impacted students' decisions to enroll in Additional Mathematics. …”
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Determining Suitable Program For SPM Holder Using Neural Network Approach
Published 2002“…This module used for self-assesment prediction in web-based environment in order to get more user participation. …”
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Permodelan Rangkaian Neural Buatan Untuk Penilaian Kendiri Teknologi Maklumat Guru Pelatih
Published 2001“…Artificial Neural Network is one of the branches of Artificial Intelligence which is utilized for the purpose of classification and prediction based on data in hand. The purpose of the study is to develop a web-based self assessment information system that can be used to obtain a model for prediction of information technology competency among teacher trainees in teaching institutes. …”
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Lexy Lense / Faresya Zulaikha Khairul Anuar ... [et al.]
Published 2024“…The findings are helpful for educators, clinicians, and dyslexic people looking for effective literacy support methods.…”
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Teaching and learning via chatbots with immersive and machine learning capabilities
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Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL)
Published 2019“…This conceptual framework is aimed at two goals: (1) development of deep learning, connected computational thinking through the mathematical curriculum instructional model which able to enhance students’ problem solving abilities and (2) implementation of the designed model to assist teacher in education who has practicing difficulty in elementary classrooms after adopting teacher enactment of problem-based curriculum resources. …”
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An early warning system for students at risk using supervised machine learning
Published 2024“…The main objective of this study is to create an early warning system for educators to use in educational institutions. For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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Word problems as a vehicle for teaching computational thinking
Published 2023“…A computational mathematics problem-based learning (CM-PBL) teaching technique is developed to achieve these goals. …”
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