Search Results - (( weight distribution svm algorithm ) OR ( parameter automation case algorithm ))
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Logistic regression methods for classification of imbalanced data sets
Published 2012“…These results can be seen as further explanation on the success of Truncated Newton method in TR-KLR and TR Iteratively Re-weighted Least Square (TR-IRLS) algorithm respectively, because of the equivalence of iterative method used by these algorithms. …”
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Classification of imbalanced travel mode choice to work data using adjustable svm model
Published 2021“…For the majority class, the accuracy improvement was substantial. This algorithm can be applied to other tasks in the transport planning domain that deal with uneven data distribution. …”
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Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
Published 2018“…In the second stage, grey wolf optimization (GWO) algorithm, a new heuristic search algorithm, uses the SVM accuracy as a fitness function to find the optimal subset feature.…”
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Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm
Published 2009“…Fuzzy logic controllers (FLCs) have been used in the literature to control key parameters of the GA which is addressed as fuzzy GA (FGA). …”
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A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
Published 2021“…The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. …”
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…Keywords: Civil engineering, Photographic processing, Quantitative methods, Automation, Deep Learning…”
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Final Year Project / Dissertation / Thesis -
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Fully automated segmentation of the left ventricle in cine cardiac magnetic resonance imaging / Tan Li Kuo
Published 2018“…The execution speed is approximately 12 s per case. In conclusion, two algorithms were developed and tested leading to fully automatic segmentation of LV in cardiac cine MRI. …”
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Comparative analysis of spatio/spectro-temporal data modelling techniques
Published 2017“…Section 2 overviews two different inference-based techniques for SSTD modelling which includes global modelling, local modelling, and personalized modelling; and data modelling for SSTD classifier including, support vector machines (SVM), Evolving Classification Function (ECF), k-Nearest Neighbor (kNN), weighted k-Nearest Neighbor (wkNN), and weighted-weighted k-Nearest Neighbor (wwkNN). …”
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A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources
Published 2025“…To ensure fair comparisons, parameter configurations for all algorithms are automated using the parameter tuning tool iterated racing (irace). …”
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Robust Data Fusion Techniques Integrated Machine Learning Models For Estimating Reference Evapotranspiration
Published 2022“…The Bayesian model averaging (BMA) enhanced the estimation of the ensembles of the base MLP, SVM and ANFIS. This was done through the Bayesian weight assignments to combine the favourable traits of the individual models. …”
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Final Year Project / Dissertation / Thesis -
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Development of Deep Learning Classification Model for Diabetic Retinopathy Detection and Grading
Published 2023“…Hence, studies have been working towards automating medical diagnosis by incorporating Artificial Intelligence (AI) in their system. …”
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Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…Second, to study the impact of ʎmax parameter on the throughput and epoch time. Third, to formulate an equation to automate the configuration of ʎmax parameter in order to increase the scalability of AF-based CCA. …”
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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…Different machine learning algorithms (Artificial Neural Network [ANN], K Nearest Neighbor [KNN] and Support Vector Machine [SVM]) were tested individually and with various ensemble models (bagging, voting, and boosting) to detect the probability of the landslide and rockfall occurrences. …”
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Development of a Neural-Fuzzy Model for Machinability Data Selection in Turning Process
Published 2008“…Considerable efforts have been done to automate such machining process in order to increase the efficiency and precision of manufacturing. …”
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Microgrid multi-distributed energy resources for power management network stability / Bilal Mouneir Saeed Eid
Published 2016“…The test conditions considered load disturbances, variations in solar radiation( in case one), feeder removal and partial shading (in case two). …”
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