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421
Road Sign Recognition with Fuzzy Adaptive Pre-Processing Models
Published 2012-05-01“…The proposed system can not only overcome low illumination and rich red color around the road sign problems but also offer high detection rates and high computing performance.…”
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422
VPOT: A Customizable Variant Prioritization Ordering Tool for Annotated Variants
Published 2019-10-01“…VPOT outperforms similar tools in terms of efficacy, flexibility, scalability, and computational performance. VPOT is freely available for public use at GitHub (https://github.com/VCCRI/VPOT/). …”
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423
Research on load transfer planning model for equipment maintenance in the substation
Published 2023-12-01“…Simultaneously, in conjunction with linear programming theory, the nonlinear constraint terms of the model have been equivalently simplified to enhance the computational performance of the model. Simulation analysis is conducted on case studies constructed based on the IEE-RBTS6 and IEEE-RTS79 systems to validate the effectiveness of the proposed model in solving the optimal maintenance planning problem.…”
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424
Accelerating Population Count with a Hardware Co-Processor for MicroBlaze
Published 2021-04-01“…The population count is frequently required to be executed in cyber-physical systems and can be applied to large data sets, such as in the case of molecular similarity search in cheminformatics, or assisting with computations performed by binarized neural networks. The MicroBlaze instruction set architecture (ISA) does not support this operation natively, so the count has to be realized as either a sequence of native instructions (in software) or in parallel in a dedicated hardware accelerator. …”
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425
A Computationally Efficient Dynamic Grid Motion Approach for Arbitrary Lagrange–Euler Simulations
Published 2023-05-01“…A 3D test case is finally extensively studied in terms of computational performance to highlight and discuss the benefits of the hyperbolic equation for ALE grid motion.…”
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426
A Computationally Efficient FPTAS for Convex Stochastic Dynamic Programs
Published 2018“…Second, we design and implement an FPTAS with excellent computational performance and show that it is faster than an exact algorithm even for small problem instances and small approximation factors, becoming orders of magnitude faster as the problem size increases. …”
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427
Improving the accuracy and efficiency of online calibration for simulation-based Dynamic Traffic Assignment
Published 2021“…Several synthetic experiments and a real world case study demonstrate that application of the proposed approaches yields improvements in terms of both prediction accuracy and computational performance. The work has applications in real-world deployments of simulation-based dynamic traffic assignment systems.…”
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428
Linear regression with partially mismatched data: local search with theoretical guarantees
Published 2022“…We propose and study a simple greedy local search algorithm for this optimization problem that enjoys strong theoretical guarantees and appealing computational performance. We prove that under a suitable scaling of the number of mismatched pairs compared to the number of samples and features, and certain assumptions on problem data; our local search algorithm converges to a nearly-optimal solution at a linear rate. …”
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429
Evaluation of 'best' machine learning algorithm in classification of arrhythmia
Published 2021“…Based on the computational performance, K-Nearest Neighbours seemed to be the best performing algorithm among the four.…”
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Final Year Project (FYP) -
430
Stochastic inner product core for digital FIR filters
Published 2018“…To improve the computational performance of SC based finite impulse response (FIR) digital filters, a new stochastic inner product (multiply and accumulate) core with an improved scaling scheme is presented for improving the accuracy and fault tolerance performance of the filters. …”
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Journal Article -
431
Stein-based preconditioners for weak-constraint 4D-var
Published 2023“…In addition to achieving better computational performance, the latter machinery allows us to derive tighter bounds for the eigenvalue distribution of the preconditioned linear system for certain problem settings. …”
Journal article -
432
Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures
Published 2017“…The computationally intensive nature of atmospheric modelling is an attractive target for hardware acceleration using reconfigurable computing. Performance of hardware designs can be improved through the use of reduced-precision arithmetic, but maintaining appropriate accuracy is essential. …”
Journal article -
433
Charge-carrier cooling and polarization memory loss in formamidinium tin triiodide
Published 2019“…The band origins obtained are fully supported by first-principles quantum-chemical computations, performed at the MP2, the CCSD(T), and occasionally the CCSDTQ levels employing extended basis sets. …”
Journal article -
434
Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O<sub>2</sub> A- and CO<sub>2</sub> Bands
Published 2020-04-01“…The CLSR method is also compared with the principal component analysis (PCA)-based RTM, showing an improvement in terms of accuracy and computational performance over PCA-based RTMs. As low-stream models, the two-stream and the single-scattering RTMs are considered. …”
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435
UAV-Borne Mapping Algorithms for Low-Altitude and High-Speed Drone Applications
Published 2024-03-01“…Findings quantify compromises in UAV algorithm selection, allowing researchers to find the mapping solution best suited to their application, which often requires a compromise between computational performance and the density and accuracy of geometric map estimates. …”
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436
Petri Net Toolbox for Multi-Robot Planning under Uncertainty
Published 2021-12-01“…We characterize the computational performance of the toolbox with a series of stress tests. …”
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437
How Spatial Epidemiology Helps Understand Infectious Human Disease Transmission
Published 2022-08-01“…Recently, due to the improvements in computing performance and statistical approaches, there are new possibilities regarding the visualization and analysis of disease spatial data. …”
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438
Convolutional Extreme Learning Machines: A Systematic Review
Published 2021-05-01“…The results from experiments show that CELM models present good precision, convergence, and computational performance, and they are able to decrease the total processing time that is required by the learning process. …”
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439
A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction
Published 2017-07-01“…We show that it provides a high computational performance and significantly lower power consumption in comparison to a standard PC. …”
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440
An Effective Method for Computing the Least-Cost Path Using a Multi-Resolution Raster Cost Surface Model
Published 2023-07-01“…This paper proposes a method for calculating the LCP using a multi-resolution raster cost surface model to enhance computational performance for large-scale grids. The original raster cost surface is progressively downsampled to generate grids of decreasing resolutions. …”
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