Search Results - (( course evaluation system algorithm ) OR ( swarm optimization mead algorithm ))*
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1
A Novel Polytope Algorithm based on Nelder-mead method for localization in wireless sensor network
Published 2024“…Results: Simulation results perfectly showed that the suggested localization algorithm based on NMM can carry out a better performance than that of other localization algorithms utilizing other op- timization approaches, including a particle swarm optimization, ant colony (ACO) and bat algorithm (BA). …”
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Article -
2
Single and Multiple variables control using Tree Physiology Optimization
Published 2017“…In the proposed method, each shoot from each branch search for possible solution in parallel and the fitness is evaluated based on all best values found by branch search. The proposed algorithm is also compared with deterministic gradient-free algorithm: Nelder-Mead simplex (NMS) and another metaheuristic algorithm: Particle Swarm Optimization (PSO). …”
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3
Optimized PID controller of DC-DC buck converter based on archimedes optimization algorithm
Published 2023“…The proposed PID controller, optimized using AOA, is contrasted with PID controllers tuned via alternative algorithms including the hybrid Nelder-Mead method (AEONM), artificial ecosystem-based optimization (AEO), differential evolution (DE), and particle swarm optimizer (PSO). …”
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4
Design and development of elective courses recommender system (ECORS)
Published 2017“…Usability testing is conducted in system evaluation process using questionnaire adapted from Recommender systems' Quality of user experience (ResQue). …”
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Final Year Project Report / IMRAD -
5
Evaluate the performance of university timetabling problem with various artificial intelligence techniques
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Final Year Project / Dissertation / Thesis -
6
Recommendation system in selecting course of public university in Malaysia using K-nearest neighbour
Published 2018“…K-Nearest Neighbour based recommendation system is implemented to solve this problem. The objectives of this project are to study the current algorithm and technique in recommendation systems for selecting courses; to implement k-Nearest Neighbour in the recommendation system; and to evaluate the application of the recommendation system. …”
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Undergraduates Project Papers -
7
Evaluation of genetic algorithm based solar tracking system for photovoltaic panels
Published 2008“…Literature suggested that the PV panels could produce maximum power if the panels have angle of inclination zero degree to the sun position. This work evaluate the best combination of GA parameters to optimize a solar tracking system for PV panels in terms of azimuth angle and tilt angle. …”
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Conference or Workshop Item -
8
Object-oriented online course recommendation systems based on deep neural networks
Published 2024“…To tackle these issues, this paper introduces a comprehensive analysis and design of an object-oriented online course recommendation system. Employing a deep neural network algorithm for course recommendation, our system adeptly captures user preferences, course attributes, and intricate relationships between them. …”
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9
Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…The system generates and evaluates potential schedules using fitness functions, selection, crossover, and mutation operators to iteratively improve scheduling efficiency. …”
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Thesis -
10
CSC562: Information Retrieval and Searching Algorithms / College of Computing, Informatics and Media
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Teaching Resource -
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CSC742 - Storage and Retrieval Algorithms / College of Computing, Informatics and Media
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CSC742: Storage and Retrieval Algorithms / College of Computing, Informatics and Mathematics
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Teaching Resource -
13
Object-oriented online course recommendation systems based on deep neural networks
Published 2024“…To tackle these issues, this paper introduces a comprehensive analysis and design of an object-oriented online course recommendation system. Employing a deep neural network algorithm for course recommendation, our system adeptly captures user preferences, course attributes, and intricate relationships between them. …”
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14
Fuzzy expert system to evaluate programming question / Norfarhana Syamiza Amir Sham
Published 2017“…This system is used by lecturers that teach programming course. …”
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Thesis -
15
Exam hall allocation using genetic algorithm / Norisyani Binti Fauzai
Published 2021“…The second objective is to develop a system to construct the exam hall allocation using a genetic algorithm and the last objective is to evaluate the functionality of the exam hall allocation system. …”
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Thesis -
16
Grid portal technology for web based education of parallel computing courses, applications and researches
Published 2009“…These courses will actively engage the students in exploring the concepts of the development the parallel algorithm in visualizing the grand challenge applications of mathematical problems. …”
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Conference or Workshop Item -
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CSC649 - Special Topics in Computer Science / College of Computing, Informatics and Media
Published 2022“…The course will cover specialized technology and described in terms of frameworks and problem formulations, standard models, methods, computational tools, algorithms, as well as methodologies to evaluate the system and select optimal models. …”
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Teaching Resource -
18
CSC649: Special Topics in Computer Science / College of Computing, Informatics and Mathematics
Published 2018“…The course will cover specialized technology and described in terms of frameworks and problem formulations, standard models, methods, computational tools, algorithms, as well as methodologies to evaluate the system and select optimal models. …”
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Teaching Resource -
19
Analysis and evaluation of various aspects of solar radiation in the Palestinian territories
Published 2023Article -
20
An early warning system for students at risk using supervised machine learning
Published 2024“…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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