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3641
Deep Closest Point: Learning Representations for Point Cloud Registration
Published 2021“…Iterative Closest Point (ICP) and its variants provide simple and easily-implemented iterative methods for this task, but these algorithms can converge to spurious local optima. …”
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3642
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3643
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3644
Language and Compiler Support for Auto-Tuning Variable-Accuracy Algorithms
Published 2010“…To this end, programmers often use approximation algorithms, iterative methods, data resampling, and other heuristics. …”
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3645
Engineering a home-based vertical farm with sensor monitoring
Published 2024“…The initial setback in the development of VFarm lay achieving a balance between simplicity and functionality. Through iterative methods – incorporating design specifications, functional analysis, and morphological chart, VFarm was conceived. …”
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Final Year Project (FYP) -
3646
Mathematical and computational modelling of ultrasound elasticity imaging
Published 2006“…Elasticity imaging is a method for using a series of ultrasound images (and the displacement field between them) to estimate the spatial variation of the stiffness of the tissue being imaged. Currently iterative methods are used to do this: a model of tissue mechanics is assumed and a large number of simulations using varying parameters are compared to the actual displacement field. …”
Thesis -
3647
Combination preconditioning of saddle point systems for positive definiteness
Published 2012“…Amongst recent contributions to preconditioning methods for saddle point systems, standard iterative methods in nonstandard inner products have been usefully employed. …”
Journal article -
3648
Placement of fluid viscous dampers to reduce total-building seismic damage
Published 2017“…No method produced optimal results for both drifts and accelerations. Iterative methods that purport to optimise performance did not achieve that objective: local rather than global parameters are considered, and optimising for a single parameter may worsen another that impacts damage. …”
Thesis -
3649
Improved hybrid methods in solving single variable nonlinear algebraic equations / Nor Hanim Abd Rahman
Published 2017“…Secondly, some of the methods utilized successive approximation procedure to ensure every step of computing will converge to the desired root and one of the most common problems is the improper initial values for the iterative methods. Thus, this particular research aims to develop an improved numerical solution for solving nonlinear equations by using hybrid concept and higher order correctional terms. …”
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Thesis -
3650
Solving partial and fraction differential equations using corrected fourier series method
Published 2014“…Thus, we compared the result with others method which is variational iteration method (VIM) and homotopy method. The Maple software is used for all calculation in this study.…”
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Thesis -
3651
The parallelization of helmholtz equation related to breast cancer growth
Published 2015“…Finite difference method (FDM) is chosen to discretize the Helmholtz equation in order to generate a large sparse grid solution. Some numerical iterative methods are used to simulate the grid solution. …”
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Thesis -
3652
Parallelization of nozzle flow model in spray-détente instantanée contrôlée technique on parallel virtual machine
Published 2017“…instant controlled pressure drop or détente instantanée contrôlée (dic) in spray drier has become a new innovative combination processes for powder production that has a potential to overcome the spray drier limitation in terms of high energy consumption and microbiology contamination. this is done by inducing the abrupt pressure dropping in a short time period and predicting the time duration of the thermal treatment at the high temperature in drying processes. due to the presence of spray atomizer in spray-dic technique, the integrated of mass and energy equations in the nozzle flow model is modified by adding the pressure changing parameter in one and two dimensional hyperbolic type of partial differential equation (pde). the parallel algorithms are developed from discretization of finite difference methods (fdm) and dealing with implicit and crank-nicolson schemes with the sequential algorithm as a benchmark. the development of a linear system equation from fdm is solved by alternating group explicit (age) compared with red black gauss seidel (rbgs) and jacobi (jb) as a benchmark methods. the iterative methods are dealt with large sparse matrix size using domain decomposition in grid generation by dividing into the sub-domains and communicate between cpus using single instruction multiple data (simd) in parallel virtual machine (pvm) with c language on linux fedora 21 for intel core-i3. the comparison of numerical analysis and the parallel performance evaluation are conducted for analysis and comparison purpose. the visualization of the multidimensional models, comparison tables and graphs are presented. in conclusion, the nozzle flow model has been validated since the visualization has the same behaviour with the statistical models. therefore, the parallelization of spray-dic model in a large sparse linear system of fdm provide the best performances and has potential to predict the mass of moisture and energy in temperature behaviour during powder drying process compared to the sequential algorithm computation.…”
Thesis -
3653
Fast Iterative Hybrid Precoding and Combining With Momentum Gradient Descent and Newton’s Method for Millimeter Wave MIMO Systems
Published 2023-01-01“…Simulation results demonstrate the faster convergence of the algorithm’s objective function compared to other iterative methods in the literature. Moreover, FIHB-MN provides performance similar to unconstrained digital precoding and combining with only a few iterations. …”
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Article -
3654
Features of entropy optimization on viscous second grade nanofluid streamed with thermal radiation: A Tiwari and Das model
Published 2021-10-01“…By utilizing the suitable transformations, the modeled PDEs (partial-differential equations) are renewed in ODEs (ordinary-differential equations) and treated these equations analytically with the help of Variation Iteration Method (VIM). Two different classes of nanofluids, Copper-engine oil (Cu−EO) and Titanium oxide-engine oil (TiO2−EO) have been taken into considering for our analysis. …”
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3655
TAN: A Transferable Adversarial Network for DNN-Based UAV SAR Automatic Target Recognition Models
Published 2023-03-01“…Particularly, compared to traditional iterative methods, the encoder–decoder model can one-step map original samples to adversarial examples, thus enabling real-time attacks. …”
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3656
Size Miniaturized Fractal Nested Circular Rings-Shaped Microstrip Antenna for Various Wireless Applications
Published 2018-11-01“…Fractal geometry technique is used in order to take advantage of its self-similar property which lead to attain not only size miniaturization but also wider bandwidth and iteration method is utilized that reach up to third iteration. …”
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Article -
3657
Study of Non-Newtonian biomagnetic blood flow in a stenosed bifurcated artery having elastic walls
Published 2021-12-01“…To discretize the problem, we employed $$P_{2} P_{1}$$ P 2 P 1 finite element technique to approximate the velocity, displacement and pressure and then linearized system of equations is solved using Newton iteration method. Analysis is carried out for power law index, Reynolds number and Hartmann number. …”
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Article -
3658
Hull girder ultimate strength of bulk carrier (HGUS-BC) evaluation: Structural performances subjected to true inclination conditions of stiffened panel members
Published 2023-06-01“…The hull girder ultimate strength was calculated using incremental–iterative methods based on IACS-CSR in a bulk carrier hull model. …”
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Article -
3659
Participatory codesign of patient involvement in a Learning Health System: How can data‐driven care be patient‐driven care?
Published 2022-02-01“…Design Ten participatory codesign workshops were conducted with eight experienced public contributors using visual, collective and iterative methods. This led contributors to challenge and revise not only the idea of an LHS but also revise the study aims and outputs. …”
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Article -
3660
Intelligent Scheduling Algorithms for the Enhancement of Drone-Based Innovative Logistic Supply Chain Systems
Published 2023-01-01“…A set of sophisticated algorithms was developed based on the combination of dispatching rule, randomization, and iterative methods to optimize the performance of the supply chain processes and effectively accomplish the aim of time savings. …”
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