Search Results - (( its implementation soft algorithm ) OR ( java implication based algorithm ))
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Training functional link neural network with ant lion optimizer
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Hybrid moth flame optimization mppt algorithm for accurate real-time tracking under partially shaded photovoltaic system
Published 2021“…The application of PV power generation has gained its popularity with its easy implementation and inexhaustible energy resources. …”
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Fuzzy parameterized complex multi-fuzzy soft expert set theory and its application in decision-making
Published 2019“…Apart from that, we also propose the weighted fuzzy parameterized complex multi-fuzzy soft expert set and investigate its application to decision-making.…”
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Data prediction and recalculation of missing data in soft set / Muhammad Sadiq Khan
Published 2018“…Special techniques like fuzzy set, rough set, and soft set need to be utilized when dealing with uncertain data, and each special technique comes with its own advantages and snags. …”
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Computing the autopilot control algorithm using predictive functional control for unstable model
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Solar photovoltaic system based on perturb and observe maximum power point tracking with trapezoidal rule approach under partial shading conditions
Published 2022“…Among all proposed algorithms, perturb and observe (P&O) algorithm is the most popular due to its simplicity and good convergence. …”
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Great Deluge and Extended Great Deluge based job scheduling in grid computing using GridSim
Published 2016“…We also, investigate the computation time and the number of soft constraints violations of EGD against its conventional GD algorithm. …”
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Two-axis position-based impedance control of a 2-DOF robotic finger / Khairunnisa Nasir
Published 2017“…Thus, this study introduced the design of an impedance type of force control that considers the dynamic of the robotic rigorously to improve its current grasping capability by enabling the sense of touch which could produce softness like human hand to the robotic finger. …”
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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…In addition, ANFIS approach is implemented to predict the �436�45D of wind turbine blades for investigation of algorithms performance based on Coefficient Determination (R2) and Root Mean Square Error (RMSE). …”
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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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Improving embedded linear elasticity in deformable models using stiffness matrix
Published 2015“…In such cases, it is more likely that a coarse element will contain a mix of materials, soft and hard, and not just one material. Therefore, it is difficult to select an appropriate material in the element, whether stiff or soft, that will deform in the same manner. …”
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Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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Additive and multiplicative noise removal based on adaptive wavelet transformation using cycle spinning
Published 2014“…Wavelet denoising attempts to remove these types of noise present in the signal while preserving the signal characteristics, regardless of its frequency content. A newly developed method based on the wavelet transform (semi-soft thresholding) appears promising, though there is little practical guidance on its use. …”
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Cost reduction in bottom-up hierarchical-based VLSI floorplanning designs
Published 2015“…This has established that CABF is performing well in respect of reliability and scalability. Besides, CABF shows its potential to be implemented in VLSI physical design as the runtime of CABF is faster with a near-optimal outcome as compared to the other existing algorithms. …”
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Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
Published 2015“…The implementation of Nonlinear Auto-Regressive with exogenous input (NARX) technique was then explored in this study to prove its reliability as a comprehensive system identification approach which has been cited across various recorded process identification platforms. …”
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