Results 11 to 20 of about 54,005 (235)
Causative factors of construction and demolition waste generation in Iraq Construction Industry [PDF]
, 2021 The construction industry has hurt the environment from the waste generated during construction activities. Thus, it calls for serious measures to determine the causative factors of construction waste generated.
Obaid, Maytham Kadhim
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A Comparative Performance Analysis of ANN Algorithms for MPPT Energy Harvesting in Solar PV System
IEEE Access, 2021 In this paper, artificial neural network (ANN) based Levenberg-Marquardt (LM), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in maximum power point tracking (MPPT) energy harvesting in solar photovoltaic (PV ...
Rajib Baran Roy +9 more
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MODERN METHODS OF BUNDLE ADJUSTMENT ON THE GPU [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The task to compute 3D reconstructions from large amounts of data has become an active field of research within the last years. Based on an initial estimate provided by structure from motion, bundle adjustment seeks to find a solution that is optimal for
R. Hänsch, I. Drude, O. Hellwich
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Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System
Complexity, 2021 In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system.
Run-Min Hou +3 more
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Results in Engineering, 2022 The conventional experimental methods to determine biomass heating value are laborious and costly. Numerous correlations to estimate biomass' higher heating values have been proposed using proximate analysis.
Ibham Veza +7 more
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Applicability of Common Algorithms in Species–Area Relationship Model Fitting
Diversity, 2022 The species–area relationship (SAR) describes a law of species richness changes as the sampling area varies. SAR has been studied for more than 100 years and is of great significance in the fields of biogeography, population ecology, and conservation ...
Zhidong Liu, Xiaoke Liu, Tsung-Jen Shen
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Improving Levenberg-Marquardt Algorithm for Neural Networks
, 2022 We explore the usage of the Levenberg-Marquardt (LM) algorithm for regression (non-linear least squares) and classification (generalized Gauss-Newton methods) tasks in neural networks. We compare the performance of the LM method with other popular first-order algorithms such as SGD and Adam, as well as other second-order algorithms such as L-BFGS ...
Pooladzandi, Omead, Zhou, Yiming
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A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems
IEEE Transactions on Neural Networks and Learning Systems, 2023 Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. In this paper, we introduce a flexible method for the sparse identification of dynamical systems described by ordinary ...
Mark Haring +4 more
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Levenberg-Marquardt Algorithm Applied for Foggy Image Enhancement
Informatica, 2023 In this paper, we introduce a novel Model Based Foggy Image Enhancement using Levenberg-Marquardt non-linear estimation (MBFIELM). It presents a solution for enhancing image quality that has been compromised by homogeneous fog. Given an observation set represented by a foggy image, it is desired to estimate an analytical function dependent on ...
Sorin Curila +3 more
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Energies, 2022 Polarization is a universal phenomenon that occurs inside lithium-ion batteries especially during operation, and whether it can be accurately characterized affects the accuracy of the battery management system. Model-based approaches are commonly adopted
Bizhong Xia, Bo Ye, Jianwen Cao
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