Search Results - (( location selection method algorithm ) OR ( early identification using 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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Design of intelligent Qira’at identification algorithm
Published 2017“…To evaluate the algorithm, 350 samples for 10 types of Qira’at recitation are in used, and for justifying the best pattern classification, few algorithms are tested in the early preliminary evaluation with K-Nearest Neighbour, GMM and PPCA. …”
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Identification of microcalcification in mammographic images / Noor Azliza Abdul Shauti
Published 2008“…By using this identification, it can simulate in flexible images post processing and analysis in easy image management using Java aplication. …”
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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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Early Detection Of ADHD Among Children Using Machine Learning
Published 2023“…Early identification using fMRI and machine learning holds great potential for improving the lives of children with ADHD through timely interventions and targeted support.…”
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Undergraduates Project Papers -
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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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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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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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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…•Detailed method to identify the gut mycobiome in colorectal cancer patients using ITS-specific amplicon sequencing. •Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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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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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
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Undergraduates Project Papers -
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AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things
Published 2023“…A chest X-ray dataset is used to compare the deep ensemble model against six transfer learning algorithms. …”
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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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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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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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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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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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