Search Results - (( loading classification problem algorithm ) OR ( basic identification clustering algorithm ))
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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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Intuitive content management system via manipulation and duplication with if-else rules classification
Published 2018“…The fact that CMS is dynamically generated is a problem on pages loading speed which is currently used in Drupal, Joomla, WordPress, and Agility CMS. …”
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Electricity load profile determination by using fuzzy C-means and probability neural network / Norhasnelly Anuar
Published 2015“…This method will give the best result when clustering the overlapped data in load profile. PNN is a fast training process to do the classification activities. …”
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Load balancing and server consolidation in cloud computing environments: a meta-study
Published 2019“…Therefore, this paper surveys published load balancing algorithms that achieved by server consolidation via a meta-analysis. …”
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Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy
Published 2023Subjects:Article -
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Service based load balance mechanism using software-defined networks / Ahmed Abdelaziz Abdelltif Osman
Published 2017“…To address aforementioned problems, we proposed a service based load balance (SBLB) mechanism using Software-Defined Networks (SDN). …”
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Published 2023“…Alternatively, variable length searching enables searching within the variable length of the solution space, which leads to more optimality and less computational load. The literature contains various meta-heuristic algorithms with variable length searching. …”
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Published 2023“…Alternatively, variable length searching enables searching within the variable length of the solution space, which leads to more optimality and less computational load. The literature contains various meta-heuristic algorithms with variable length searching. …”
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Published 2023“…Alternatively, variable length searching enables searching within the variable length of the solution space, which leads to more optimality and less computational load. The literature contains various meta-heuristic algorithms with variable length searching. …”
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A systematic review on emperor penguin optimizer
Published 2021“…To-date, EPO has slowly gaining considerable momentum owing to its successful adoption in many broad range of optimization problems, that is, from medical data classification, economic load dispatch problem, engineering design problems, face recognition, multilevel thresholding for color image segmentation, high-dimensional biomedical data analysis for microarray cancer classification, automatic feature selection, event recognition and summarization, smart grid system, and traffic management system to name a few. …”
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Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach
Published 2010“…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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An Implementation Framework Overview of Non-Intrusive Load Monitoring
Published 2024journal::journal article -
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Cognitive load assessment through EEG: a dataset from arithmetic and stroop tasks
Published 2025“…This study’s foundation is crucial for advancing stress classification research, with significant implications for cognitive function and well-being.…”
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Feature extraction of power disturbance signal using time frequency analysis
Published 2006“…Another problem is harmonics problem which is due to nonlinear loads and the source of fault is difficult to detect and diagnose. …”
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Bottleneck-based heuristic for permutation flowshop scheduling
Published 2017“…There are four potential dominant machines (M1, M2, M3, M4) clustered as bottleneck machines. A total 1000 set random processing time for each job sizes was tested using Excel simple programming with built in Visual Basic for Application (VBA). …”
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Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid
Published 2016“…The voltage stability was improved at the load bus by maintaining the voltage within acceptable limits. …”
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A New Thermographic NDT for Condition Monitoring of Electrical Components Using ANN with Confidence Level Analysis
Published 2014“…Faults in electrical system show overheating of components which is a common indicator of poor connection, overloading, load imbalance or any defect. Thermographic inspection is employed for finding such heat related problems before eventual failure of the system. …”
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