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Optimized clustering with modified K-means algorithm
Published 2021“…Generally, the proposed modified k-means algorithm is able to determine the optimum number of clusters for huge data.…”
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Thesis -
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M-Factors Fuzzy Time Series for Forecasting Moving Holiday Electricity Load Demand in Malaysia (S/O 14589)
“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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Monograph -
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Modified archive update mechanism of multi-objective particle swarm optimization in fuzzy classification and clustering
Published 2022“…A clustering algorithm based on MOPSO-CD with a modified archive update mechanism (MCPSO-CD) was used to estimate the optimal number of clusters. …”
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Weighted subsethood and reasoning based fuzzy time series for moving holiday electricity load demand forecasting
Published 2021“…The modified algorithm, Weighted Subsethood Segmented Fuzzy Time Series (WeSuSFTS) consists of four main phases; data pre-processing, model development, model implementation and model evaluation. …”
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A modified single-stacked ensemble framework for prognostic analysis of leukemia relapse
Published 2026“…This chapter introduces a modified single-stacked ensemble prognostic algorithm optimized for interpretability, transparency, and reliability, especially for small and imbalanced datasets. …”
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Book Chapter -
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…To validate this algorithm, the modified word vectors are compared with original LLM-generated word vectors to evaluate their reflection of the intended context. …”
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Application of Evolutionary Algorithm for Assisted History Matching
Published 2014“…Today, tremendous efforts are made to develop Automatic History Matching algorithms. While the automatic method focus on optimization which is normally computer based. …”
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Robust correlation feature selection based support vector machine approach for high dimensional datasets
Published 2025“…The third step employs the support vector machine algorithm to calculate prediction values. To demonstrate the effectiveness of the developed procedure, we used both simulation and real-life data examples. …”
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Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The developed algorithms are two-band algorithm, terma linear and modified algorithm from the combination of the visible and infrared thermal bands. …”
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Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications
Published 2024“…Electricity has been a key driver of global socioeconomic development and sustainability for both developed and developing nations. …”
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Robotic arm system with computer vision for colour object Sorting
Published 2018“…Next, the forward kinematic modelling of the robotic arm using Denavit-Hartenberg algorithm and solving the inverse kinematic of the robotic arm using modified flower pollination algorithm (MFPA) are interpreted. …”
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Real-time vision-based Malaysian road sign recognition using an artificial neural network / Kh Tohidul Islam
Published 2017“…In the first stage, a hybrid color segmentation algorithm has been developed and tested. This hybrid color segmentation algorithm contains a RGB histogram equalization, RGB color segmentation, modified grayscale segmentation, binary image segmentation, and a shape matching algorithm. …”
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Extracting Object Oriented Software Architecture from C++ Source Code
Published 2000“…VOO++ aids an analyst in extracting, manipulating and interpreting the Object-Oriented static model information. …”
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Modeling the powder compaction process using the finite element method and inverse optimization
Published 2011“…First, it presents the implementation of the cap constitutive model into ABAQUS FE software using the closest point projection algorithm. Then, an inverse modeling procedure was proposed to alleviate the problems raised by the interpretation of the experimental tests and to more accurately determine the material parameters. …”
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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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Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…The developed algorithm is applied to a spacecraft designed as a passively sun-pointed spacecraft with coplanar solar panels. …”
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Proceeding Paper -
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…The experiments were conducted on five subjects where the sEMG signals were recorded over four major muscles of the lower limb (Biceps Femoris (BF), Rectus Femoris (RF), Gastrocnemius (Gas) and Soleus (Sol) muscles) along with the kinematics recordings. A novel algorithm to determine the overlapped crosstalk recordings was developed along with a modified low pass filter that adaptively removes these recordings. …”
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Expert System with an Embedded Imaging Module for Diagnosing Lung Diseases
Published 2006“…The goal of this module is to enhance the chest X-Ray images so that it can provide details similar to more expensive methods such as MRl and CT scan. A new algorithm which is a modified morphological grayscale top hat transform is introduced to increase the visibility of lung nodules in chest X-Rays. …”
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