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Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Before incorporating the optimization methods, a sizing algorithm for large-scale GCPV systems was developed. …”
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Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur’s entropy
Published 2014“…To overcome this problem, two successful swarm-intelligence-based global optimization algorithms, cuckoo search (CS) algorithm and wind driven optimization (WDO) for multilevel thresholding using Kapur’s entropy has been employed. …”
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EM-Psychiatry: An Ambient Intelligent System for Psychiatric Emergency
Published 2016“…The proliferation of the market in patient care services is attracting attention in the healthcare industry; however, a remote mental healthcare system is still unattainable. …”
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Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…This paper focused on modelling of a gradient flexible plate system utilizing an evolutionary algorithm, namely particle swarm optimization (PSO) and cuckoo search (CS) algorithm. …”
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Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure
Published 2023“…This paper focused on modelling of a gradient flexible plate system utilizing an evolutionary algorithm, namely particle swarm optimization (PSO) and cuckoo search (CS) algorithm. …”
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Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…This thesis presents a practical and reliable approach for the prediction of PV power output using an intelligent-based technique namely Cuckoo Search Algorithm - Least Square Support Vector Machine (CS-LSSVM). …”
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7
Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
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8
User song preferences using preference learning in artificial intelligence
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Malaysian license plate number detection based on sobel vertical edge algorithm / Siti Nor Azimah Ibrahim
Published 2007“…The system captures the images of the vehicles with a digital camera. …”
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An improved negative selection algorithm based on the hybridization of cuckoo search and differential evolution for anomaly detection
Published 2018“…The V-Detectors algorithm depends greatly on the random detectors generated in monitoring the status of a system. …”
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12
Adapting robot kinematics for human-arm motion recognition
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A machine learning approach to movie recommendation system
Published 2025“…This work demonstrates the potential of intelligent systems to improve user satisfaction in digital media platforms.…”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen
Published 2006“…This project is about detecting which type of extra axial brain tumor suffered by patient using the artificial intelligence approach. Artificial intelligence method that used in this system is artificial neural network. …”
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15
Video surveillance: explosion detection
Published 2025“…Hence, this study proposes to embed computer vision and advanced image processing algorithms, such as Motion History Images (MHI) and Motion Energy Images (MEI), into the intelligent explosion detection video surveillance system. …”
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Improving Patient Rehabilitation Performance In Exercise Games Using Collaborative Filtering Approach
Published 2024journal::journal article -
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Video surveillance: Item monitoring against theft
Published 2023“…Else, the time will be set to 0. After that, the system will get the current frame to find the common features with the background frame by using a feature matching algorithm. …”
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Forecasting Malaysian exchange rate artificial neural network : 2010-2018 / Ikhwan Muzammil Amran
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Apply and optimize machine learning algorithms for estimating battery health
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20
A flowchart-based multi-agent system for assisting novice programmers with problem solving activities
Published 2023“…In order to address this problem, FMAS, a flowchart-based multi-agent system is developed to familiarize students who have no prior knowledge of programming, with the initial stages in learning programming. …”
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