Search Results - (( location selection method algorithm ) OR ( early identification based algorithm ))*
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Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
Published 2021“…By integrating ISMA, both supervised and unsupervised machine learning algorithms were investigated to develop real-time damage identification schemes. …”
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Thesis -
2
Kernel and multi-class classifiers for multi-floor wlan localisation
Published 2016“…For fingerprint database optimisation, novel access point (AP) selection algorithms which are based on variant AP selection are investigated to improve computational accuracy compared to existing AP selection algorithms such as Max-Mean and InfoGain. …”
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Thesis -
3
Optimal source substation location selection in radial distribution networks
Published 2004“…For the best location selection of source substation two steps selection method has been implemented for minimizing computer computation time. …”
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Conference or Workshop Item -
4
Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem
Published 2021“…Random selection of facility location in a Cell-based approach may cause infeasible or worse solutions. …”
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Thesis -
5
Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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Article -
6
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…The results on the model selection again signify that our proposed robust bootstrap model selection method is more robust than the classical bootstrap model selection.…”
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Thesis -
7
Development of MyCGPA for early predicting students’ academic performance
Published 2025“…One of the primary concerns in higher education is the early identification of underperforming students. …”
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8
Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
Published 2018“…It was found that the proposed hybrid SVM-Modified EPSO (MEPSO)-Time Varying Acceleration Coefficient (TVAC) technique results in the highest correct identification percentage of faults in a power transformer compared to other PSO algorithms. …”
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9
Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…First, to investigate the methods used to address limitations associated with microbiome-based datasets in colorectal cancer identification using deep neural network algorithms. …”
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Thesis -
10
Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…In addition, the ranked order of the variables based on their importance differed across the ML algorithms. …”
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Conference or Workshop Item -
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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
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Undergraduates Project Papers -
13
Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
Published 2021“…For the triangle area algorithm, the smallest triangle area is selected from the triangle formed from the matching RPs cluster to estimate location. …”
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Thesis -
14
Eccentricity Optimization of NGB System by using Multi-Objective Genetic Algorithm
Published 2009“…In this study, a new method for designing a particular braced system by using multi-objective genetic algorithm is proposed. …”
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Article -
15
Optimizing palm oil biomass collection: genetic algorithm approaches in solving location-routing problem
Published 2025“…To achieve these objectives, the research employs genetic algorithm (GA) approaches, incorporating innovative strategies, namely automated mutation operator selection (AMOS) and elite child population (ECP). …”
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Article -
16
Predictive Modelling of Stroke Occurrence among Patients using Machine Learning
Published 2023“…Early identification of high-risk patients enables timely intervention and implementation of preventive measures, potentially reducing the burden of stroke-related complications. …”
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Article -
17
Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data
Published 2022“…Sure screening-based correlation methods are popular tools used to select the most significant variables in the true model in sparse and high dimensional analysis. …”
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Thesis -
18
Development of IoT-based heatstroke early symptoms monitoring system for students in Malaysia
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Conference or Workshop Item -
19
Edge Detection Algorithm For Image Processing Of Search And Rescue Robot
Published 2016“…Subsequently, Canny edge detection algorithm is selected as an efficient algorithm based on the comparison made and it is further used in this project. …”
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Final Year Project -
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