Search Results - (( course evaluation factors algorithm ) OR ( panel identification system algorithm ))
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1
Model predictive control for MPPT of distributed photovoltaic module
Published 2017“…A conventional P&O technique was design by develop the algorithm to compare the result. A plant using system identification developed as the MPC needs a plant for prediction. …”
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2
A review of deep learning-based defect detection and panel localization for photovoltaic panel surveillance system
Published 2024“…YOLO algorithms are utilized for their real-time detection capabilities, allowing for immediate identification and categorization of defects during routine inspections. …”
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Using algorithmic taxonomy to evaluate lecturer workload
Published 2006“…Teaching workload is influenced by various factors such as level of taught courses, number of student, credit and contact hour and off campus or on campus course design. …”
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4
Using algorithmic taxonomy to evaluate lecture workload: a case study of services application prototype in the UPM KM Portal
Published 2006“…Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design. …”
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5
Using algorithmic taxonomy to evaluate lecture workload: A case study of services application prototype in the UPM KM portal
Published 2006“…Lecturer workload at universities includes three major categories: teaching, research and services.Teaching workload is influence by various factors such as level taught courses, number of student, credit and contact hour and off campus or on campus course design.The UPM has a KM Portal that contains sets of metadata on lecturer profile and knowledge assets.The Lecturer profile contains information lecturer teaching, research, publication and many more.We constructed an algorithmic taxonomy based at the lecturer profile data to measure lecturer teaching workload.This method measures the lecturer teaching workload.The taxonomy is a dynamic hierarchy that extracts validated parameters from the dataset.Results of the study highlight the contributions of this algorithmic method in better evaluation of teaching workload for lecture.…”
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6
Optimizing solar streetlight systems for sustainable urban and community development
Published 2025“…Through these enhancements, the system effectively reduced energy wastage, leading to the identification of the most efficient and practical battery capacity. …”
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System identification of a solar maximum power point tracking system for dual axis / Thomas Davion, Noorazlina Mohamid Salih and Mohd Shahrizan Mohd Said
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Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
Published 2017“…In the university education system, examination result is one of the factors that contribute to passing and fail in sentence course. …”
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Evaluation of genetic algorithm based solar tracking system for photovoltaic panels
Published 2008“…It depends on environmental factors such as the solar irradiation and the temperature of these panels. …”
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10
Development of electronic nose for classification of aromatic herbs using Artificial Intelligent techniques
Published 2018“…Moreover, several factors might influence the accuracy of the human olfactory system as a sensory panel such as physical and mental conditions. …”
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Fault-tolerant power extraction strategy for photovoltaic energy systems
Published 2018“…The FDI method is based on monitoring the PV panel generated power for the presence of abrupt changes; the MPPT reconfiguration is based on a combination between Incremental Conductance (IncCond) Algorithm and an Improved Current-based Particle Swarm Optimization (ICPSO) tracking technique. …”
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12
An evolutionary based features construction methods for data summarization approach
Published 2015“…In the process of summarizing relational data, a genetic algorithm is also applied and several feature scoring measures are evaluated in order to find the best set of relevant constructed features. …”
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Research Report -
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An early warning system for students at risk using supervised machine learning
Published 2024“…According to the research, 52% of students who sign up for a course would never read the course materials. Furthermore, throughout the course of five years, the dropout rate reached a stunning 96%. …”
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14
Cryptanalysis on the modulus N=p2q and design of rabin-like cryptosystem without decryption failure
Published 2015“…Moreover, for the purpose of empirical evidences, some parameters are chosen in the course of the process to validate the efficiency in terms of algorithmic running time and memory consumptions. …”
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15
Predictive modelling of student academic performance using machine learning approaches : a case study in universiti islam pahang sultan ahmad shah
Published 2024“…Drawing from a dataset spanning students enrolled in the Business Statistics course at Universiti Islam Pahang Sultan Ahmad Shah from 2013 to 2022, this study identifies students’ carry marks as the most correlated factor in determining performance levels. …”
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