Search Results - (( java implementation force algorithm ) OR ( using smes using algorithm ))
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Oscillation Damping Emulation Using Superconducting Magnetic Energy Storage based on Sine Cosine Algorithm on Jawa Indonesian Power Grid
Published 2023“…To find the best oscillation damping emulation the parameter of SMES is optimized using sine cosine algorithm (SCA). …”
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Frequency stabilization in interconnected power system using bat and harmony search algorithm with coordinated controllers
Published 2021“…To enhance the outcome of the proposed 2DOF–TIDN controller, its gain parameters are optimized with the use of a newly designed hybrid bat algorithm-harmony search algorithm (hybrid BA–HSA) technique. …”
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Social engineering exploitation detection (SEED) in Malaysia's SMEs using machine learning
Published 2022“…This can be applied to flag a conversation as if it is a social engineering attack. The project will use natural language processing in extracting certain features as the input of an algorithm to generate a reputation score that will be trained using machine learning to build the detection model. …”
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Identification of critical factors underpinning banks’ lending relationship quality of SMEs: SMEs perspectives / Tury Retap
Published 2019“…The data were captured into SPSS 22 and evaluated by using SMARTPLS 3.2.7 iterative algorithm, bootstrapping and blindfolding procedures to obtain the results. …”
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Aligning Malaysian SMEs with the megatrends: the roles of HPWPs and employee creativity in enhancing Malaysian SME performance
Published 2018“…The partial least squares algorithm and the bootstrapping technique were used for data analysis. …”
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High performance work system-performance nexus in Nigerian SMEs: a moderated mediation study
Published 2018“…The Partial Least Squares Method (PLS) algorithm and the bootstrapping technique were used to test the study's hypotheses. …”
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Effect of business social responsibility (BSR) on performance of SMEs in Nigeria
Published 2014“…Partial Least Squares (PLS) algorithm and bootstrap techniques were used to test the study‘s hypotheses. …”
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Strategic capabilities, innovation strategy and the performance of food and beverage small and medium enterprises
Published 2019“…Based on the model developed, a questionnaire was constructed and personally administered at random to collect the data from 229 respondents in the study area. Algorithm and bootstrapping techniques of Partial Least Squared Structural Equation Model (Smart PLS-3.0) was used to test the developed hypotheses of the study. …”
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Predicting credit risk of the small medium enterprises using modified KMV model / Shakila Saad
Published 2022“…It implies that this method is one of the viable alternatives that bank institutions can use in determining the credit risk of the SMEs when approving loan application.…”
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Published 2015“…The ANFIS optimized by AMBA is used employed to model classification of Malaysian small medium enterprises (SMEs) based on strength using non-financial factors. …”
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Developing an app for streamlined inventory tracking with barcode scanning and load planning optimization
Published 2025“…The application was implemented using React Native for mobile development and Firebase Firestore as the backend database to enable real-time data synchronization, while a binary tree bin packing algorithm was applied to generate efficient cargo loading arrangements. …”
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Originality/value Overall, this research provides initial insights into adopting Machine Learning algorithms in making better-informed managerial decisions among SMEs in Malaysia…”
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An improved diabetes risk prediction framework : An Indonesian case study
Published 2018“…Pre-processing resolves the issue of missing data and hence normalizes the data.Outlier treatment employs k-mean clustering to validate the class.Suitable components were selected through comparison of classifier algorithms and feature selection.Attribute weighting based feature selection was selected for assigning weightage.Weighted risk factor was used on training dataset in order to improve accuracy and computation time of the prediction. …”
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Load frequency control in power systems with high renewable energy penetration: A strategy employing PI?(1+PDF) controller, hybrid energy storage, and IPFC-FACTS
Published 2025“…(1+PDF) controller parameters, Zebra Optimization Algorithm (ZOA) is employed utilizing an Integral Time Absolute Error (ITAE) objective function. …”
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