Search Results - (( java implication based algorithm ) OR ( using partial planning algorithm ))
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Solving the optimal path planning of a mobile robot using improved Q-learning
Published 2019“…In order to address this limitation, the concept of partially guided Q-learning is introduced wherein, the flower pollination algorithm (FPA) is utilized to improve the initialization of Q-learning. …”
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Reinforcement learning based techniques in uncertain environments: problems and solutions
Published 2015“…Reinforcement learning (RL) is a well-known class of machine learning algorithms used in planning and controlling of autonomous agents. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Management support as a moderator in the HR practices employee performance relationship
Published 2017“…Partial Least Squares Method (PLS) algorithm and bootstrap techniques were used to test the study’s hypotheses. …”
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Kelantan daily water level prediction model using hybrid deep-learning algorithm for flood forecasting
Published 2021“…Therefore, this present study had imputed the missing hydrological data using five imputation methods, namely Neural Network (NN), Moving Median (MM), Iterative Algorithm (IA), Nonlinear Iterative Partial Least Square (NIPALS), and Combined Correlation with Inversed Distance (CCID) imputation methods. …”
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Consumers' intention to use e-money mobile using the decomposed theory of planned behavior
Published 2016“…The Partial Least Squares Method (PLS) series PLS 2.0 M3 for algorithm and bootstrap techniques and SPSS 18 was used to test the hypothesis that has been developed. …”
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Moderating role of management support in the relationship between human resource practices and employee performance: A study of academics in Nigerian Polytechnics
Published 2018“…Partial Least Squares Method (PLS) algorithm and bootstrap techniques were used to test the study's hypotheses. …”
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Load shedding scheme for islanded distribution network with flexible load selection and power changes / Ja’far Saifeddin Abdelhafiz Jallad
Published 2018“…A metaheuristic algorithm in the UFLS scheme can be used to select the best load combination in real time. …”
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Shear strength test on unsaturated soil using natural microscopic surface tension force / Basharudin Abdul Hadi
Published 2017“…There were two sets of algorithms in developing the UPLRB ANN model and every algorithm set consisted of model inputs data preparation, neural network 29 30 base of the specimen until the flow ceased..…”
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A novel approach to human motion estimation with applications in human-robot safety
Published 2008“…A statistical path prediction method is used together with Fuzzy Cognitive Map FCM for prediction of entire paths from partial trajectories. …”
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Moderating effect of management support on the relationship between HR practices and employee performance in Nigeria
Published 2019“…The partial least squares method (PLS) algorithm and bootstrapping techniques were used to test the study’s hypotheses. …”
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Enhancing the entrepreneurial intention of the retiring military personnel through entrepreneurial training
Published 2017“…Partial Least Squares-Structural Equation Model (PLS-SEM) algorithm and bootstrap techniques were used to test the study hypotheses. …”
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Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem
Published 2022“…Ref. [6] used (SA) approach, which is based on searching via all the feasible sequences. …”
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Reconfigurable Stewart Platform for Spiral Contours
Published 2011“…The results obtained are to be validated for singularity-free path planning and attempt has to be made to estimate the computational efficiency of the algorithm. …”
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Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study
Published 2023“…The slices were 5 mm thick and reconstructed using a standard reconstruction kernel, for example B80f and 170f, combined with FBP or various IR Results: The low dose group used an acquisition parameter with 100 kVp and a pitch of 0.9, while the standard dose used a pitch of 0.75. …”
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Time series modeling of water level at Sulaiman Station, Klang River, Malaysia
Published 2010“…The estimation of parameters of the model is accomplished using the hybrid learning algorithm consisting of standard neural network backpropagation algorithm and least squares method. …”
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Determinants factors of biotechnology commercialization in Malaysia: resource-based view perspective / Nur Hidayat Nordin
Published 2023“…A structure path modeling has been designed based on these constructs by relating it to commercialization success using the PLS algorithm and bootstrapping method. …”
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Determinants of intention to pay Zakat on employment income by civil servants in Kano State, Nigeria
Published 2018“…Primary data was collected from the 700 sampled respondents using self-administered questionnaire. The Partial Least Square (PLS) algorithm and bootstrapping methods were employed an analyzed for statistically testing the hypotheses of the study. …”
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