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Integrating fuzzy logic and brute force algorithm in optimizing energy management systems for battery electric vehicles
Published 2023“…This research proposes a solution to achieve more efficient control of HVAC consumption by integrating fuzzy logic techniques with brute-force algorithms to optimize the Energy Management System (EMS) in BEVs. …”
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Integrating fuzzy logic and brute force algorithm in optimizing Energy Management Systems for Battery Electric Vehicles
Published 2024“…This research proposes a solution to achieve more efficient control of HVAC consumption by integrating fuzzy logic techniques with brute-force algorithms to optimize the Energy Management System (EMS) in BEVs. …”
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A hybrid algorithm based on artificial bee colony and artificial rabbits optimization for solving economic dispatch problem
Published 2023“…Despite these advantages, the basic ABC algorithm has some drawbacks such as slow convergence, poor exploitation, and difficulty in finding the best solution among all feasible solutions in some cases. …”
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Utilizing of flower pollination algorithm for brushless DC motor speed controller
Published 2020“…The best outcome of this research is stable is speed and reduce rising time. …”
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Proceeding Paper -
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A hybrid of fuzzy c-means clustering and Latent Dirichlet Allocation for analysing philanthropic corporate social responsibility activities / Nik Siti Madihah Nik Mangsor
Published 2023“…Then, text pre-processing for data cleaning was performed followed by identification of the best Latent Dirichlet Allocation (LDA) topic modelling technique that was used to integrate document clustering.…”
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An enhanced swap sequence-based particle swarm optimization algorithm to solve TSP
Published 2021“…To evaluate the proposed algorithm, the solutions to the TSP problem obtained from the proposed algorithm and swap sequence based PSO are compared in terms of the best solution, mean solution, and time taken to converge to the optimal solution. …”
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Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
Published 2018“…Genetic Algorithm is applied to the product design parameters to create a feedback system in order to get the best possible product design solutions with the least environmental impact within the product design functionality limitation. …”
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The implementation of post-processing data thinning for multibeam echo sounding data
Published 2006“…This paper elaborates on the development of data thinning programs using Microsoft Visual Basic Version 6. Various algorithms namely Douglas Peucker, Single Swathe Reducer and Skip N Points are referred. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…An optimal solution was proposed by integrating fuzzy logic technique with brute force algorithm that gave the best system optimization, where the decision was based on the Satisfaction Ratio (SR) and State of Charge (SoC). …”
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IMPLEMENTATION OF ADVANCED PROCESS CONTROL FOR FLOW CONTROL APPLICATION
Published 2013“…A general MPC control algorithm is developed using MATLAB/Simulink Toolboxes. …”
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Final Year Project -
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Oil Palm Yield Data Collection Using Image Processing
Published 2021“…This project is an automated drone program integrated with image processing for academic purpose. …”
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Final Year Project / Dissertation / Thesis -
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Text-based emotion prediction system using machine learning approach
Published 2020“…Finally, the best model was integrated to graphical user interface using Python Tkinter library to complete the whole system development. …”
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Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…The performance of these segmentation algorithms are measured using misclassification error. …”
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Research Report -
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A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features
Published 2022“…Furthermore, using the basic features, TLSMalDetect achieved the highest accuracy of 93.69% by Naïve Bayes (NB) among the ML algorithms applied. …”
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A Review on the Development of Indonesian Sign Language Recognition System
Published 2013“…Sign language recognition basically uses two approaches: (1) computer vision-based gesture recognition, in which a camera is used as input and videos are captured in the form of video files stored before being processed using image processing; (2) approach based on sensor data, which is done by using a series of sensors that are integrated with gloves to get the motion features finger grooves and hand movements. …”
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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
Published 2014“…In the development of the “hybrid AI-based” classification models, the proposed model (K1-K2- NN), was basically introduced through combining AI approaches of modified K-NN, genetic algorithm (GA), Fisher’s discriminant ratio (FDR) and class separability criteria (CSC). …”
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Early detection of high water saturation spots for landslide prediction using thermal image analysis
Published 2018“…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
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