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INNOVATIVE METHODOLOGY AND ALGORITHMS FOR SOLVING GEOPHYSICAL INVERSE PROBLEMS
Published 2017“…This research thesis objective is to develop innovative methodology and algorithm for inverse problem in exploration geophysics. …”
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Thesis -
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Autoreclosure in extra high voltage lines using taguchi's method and optimized neural networks
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CAR LICENSE PLATE RECOGNITION BY USING TEMPLATE MATCHING ALGORITHM
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Proceeding -
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Smart Agriculture Economics and Engineering: Unveiling the Innovation Behind AI-Enhanced Rice Farming
Published 2024“…The analysis utilized a novel modified stacked Multiple Linear Regression- -Support Vector Regression (MLR- -SVR) algorithm, and a novel modified stacked MLR- -Support Vector Regression (MLR- -SVR) algorithm, demonstrating high predictive capability, especially in a limited dataset environment, which the algorithms’ superiority ranked utilizing modified Taguchi-based VIseKriterijumska Optimizacija I Kompromisno Resenje (Taguchi-based VIKOR) multi-criteria decision-making algorithm. …”
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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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New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…In the fourth phase, the newly developed algorithm undergoes testing on the formulated ROOPs and compared to several contemporary optimizer algorithms. …”
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Virtual GIS walkthrough Innovation Center / Mohd Sufean Abu Samah
Published 1999“…The purpose of this project is to develop a system that enables a user to engage in a virtual visit to Innovation Center in ITM Shah Alam. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
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Final Year Project -
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence
Published 2025“…This study intends to develop a Spatial Temporal-Graph Convolutional Network (ST-GCN) action detection algorithm based on the MediaPipe framework. …”
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Novel vector control method for three-stage hybrid cascaded multilevel inverter
Published 2011“…The novelty of the proposed algorithm is to avoid the undesirable high switching frequency for high- and medium-voltage stages despite the fact that the inverter's dc sources are selected to maximize the inverter levels by eliminating redundant voltage states. have been developed to assure fundamental switching frequency operation of the high-voltage stages and not more than few times this frequency for the medium-voltage stage. …”
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Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
Published 2013“…To realize the development of computer-aided KE system, a framework for automated KE is designed. …”
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Amplitude independent muscle activity detection algorithm of soft robotic glove system for hemiparesis stroke patients using single sEMG channel
Published 2020“…In spite of some algorithms that have been developed in the literature to classify some hand motions by using single channel, the current implementation of soft robotic glove systems are still employing two channels for detecting the closing and opening movements of the hand, due to the intensive calculations required by these algorithms which impose difficulties on real time implementation. …”
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Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TSNKM)
Published 2016“…Currently, there are several segmentation techniques which have been used in object identification such as thresholding and clustering techniques.However, the conventional techniques have difficulties in segmenting fruit images which captured under natural illumination due to the existence of non-uniform illumination on the object surface.The presence of different illuminations influences the appearance of the interest objects and thus misleads the object analysis.Therefore, this research has produced an innovative segmentation algorithm for fruit images which is able to increase the segmentation accuracy.The developed algorithm is an integration of modified thresholding and adaptive K-means method.The integration of both methods is required to increase the segmentation accuracy for fruits images with different surface colour.The results showed that the innovative method is able to segment the fruits images with high accuracy value.…”
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