Search Results - (( variable interaction make algorithm ) OR ( java application stemming algorithm ))
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1
Taguchi?s T-method with Normalization-Based Binary Bat Algorithm
Published 2025“…Therefore, a variable selection technique using a swarm-based Binary Bat algorithm is proposed. …”
Conference paper -
2
Development of genetic algorithm for optimization of yield models in oil palm production
Published 2018“…In the oil palm industry, modelling and selecting variables play a crucial role in apprehending different issues, i.e. decision making. …”
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3
A parallel genetic algorithm-based TSK-Fuzzy system for dynamic car-following modeling
Published 2009“…The proposed model is used for the tire-road slippage index determination which influences the car's speed. Since the car interact with each other on the road and the driver progressive level is different, three interaction variables, that are current car speed, distance to the car ahead and driver progressive level, are defined and an indication of their influence on the tire-road slippage index is analysed. …”
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4
Short-term electricity price forecasting in deregulated electricity market based on enhanced artificial intelligence techniques / Alireza Pourdaryaei
Published 2020“…The proposed feature selection technique comprises of Multi-objective Binary-valued Backtracking Search Algorithm (MOBBSA). It is used to search within a number of input variables combinations and to select the feature subsets, which minimizes simultaneously vice-versa the estimation error and the feature numbers. …”
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Thesis -
5
Solving large-scale problems using multi-swarm particle swarm approach
Published 2018“…The proposed approach strived to scale up the application of the (PSO) algorithm towards solving large-scale optimization tasks of up to 1000 real-valued variables. …”
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Article -
6
Harmony search-based robust optimal controller with prior defined structure
Published 2013“…In this approach, a combination of interacting two levels HS optimization algorithm is presented. …”
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Thesis -
7
Determination of tree stem volume : A case study of Cinnamomum
Published 2013“…Illustrations and algorithms are incorporated into the procedures. Non-normal and nonlinear data variables are addressed, hence data characterization is presented. …”
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8
Optimization of biochemical systems production using combination of newton method and particle swarm optimization
Published 2019“…In the proposed method, the Newton method was used to deal with nonlinear equations system, while the PSO algorithm was utilized to fine-tune the variables in nonlinear equations system. …”
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9
Neural Network Multi Layer Perceptron Modeling For Surface Quality Prediction in Laser Machining
Published 2009“…Uncertainty is inevitable in problem solving and decision making. One way to reduce it is by seeking the advice of an expert in related field. …”
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Book Chapter -
10
Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Published 2022“…Comparing both AJ-MOFA and CFM with benchmarks using multi-objective optimization and networking metrics reveals the superiority in most evaluation measures, which makes them promising algorithms for data dissemination in VANETs. …”
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11
Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration
Published 2014“…Also it provided a valuable scientific basis for spatial decision making in planning and urban management studies.…”
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12
The influence of social media usage motivations on psychological well-being
Published 2024“…The combination of algorithmic personalization and short-form video contents of Douyin makes it indisputably a compelling tool for both entertainment and social interaction. …”
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Development Of Semi-Automatic Liver Segmentation Method For Three-Dimensional Computed Tomography Dataset
Published 2017“…Low contrast of liver boundary with neighbouring organs, high shape variability of liver and presence of various liver pathologies will affect the accuracy of automatic liver segmentation and thus make automatic liver segmentation a challenging task. …”
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Monograph -
15
Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…Additionally, the research enhances system functionality, enabling intricate interactions. A developed application allows users to visualize executed hand gestures, paving the way for future integration of complex interaction sub-systems in various gesture recognition applications. …”
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Thesis -
16
Optimization of process parameters for pyrolsis of waste plastics by T method-1
Published 2023text::Final Year Project -
17
All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]
Published 2014“…In a later stage of this project, we could quantify the risk factors for ADR and drug interaction and develop a predictive model which links drug interaction with ADR.…”
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Book Section -
18
Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…The proposed method is based on a hybrid method integrating random walkers algorithm with integrated priors and particle swarm optimized spatial fuzzy c-means (FCM) algorithm with level set method and AdaBoost classifier. …”
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Thesis -
19
Optimization of Lipase Catalysed Synthesis of Sugar Alcohol Esters Using Taguchi Method and Neural Network Analysis
Published 2011“…In this system,similar insolvent system, three methods including one variable at a time, Taguchi method and ANN were used for optimization and prediction of percentage of conversion. …”
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20
Identification of debris flow initiation zones using topographic model and airborne laser scanning data
Published 2017“…Conditioning parameters were numerically optimized to identify the arbitrarily maximum model basis function for eleven variables, using MARSplines analysis (algorithm). The three most influencing topographic parameters identified are topographic roughness index (TRI), slope angle, and specific catchment area (SCA) with the percentage values of participation in the model of 100, 93, and 86%, respectively. …”
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