Road Sign Recognition with Fuzzy Adaptive Pre-Processing Models by Ming-Shi Wang, Chien-Chuan Lin

“…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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VPOT: A Customizable Variant Prioritization Ordering Tool for Annotated Variants by Eddie Ip, Gavin Chapman, David Winlaw, Sally L. Dunwoodie, Eleni Giannoulatou

“…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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Research on load transfer planning model for equipment maintenance in the substation by Kanjun Zhang, Ting Wang, Hubing Zhou, Hengxuan Li, Aihong Tang, Huiyuan Yang, Jiao Peng

“…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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Accelerating Population Count with a Hardware Co-Processor for MicroBlaze by Iouliia Skliarova

“…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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A Computationally Efficient Dynamic Grid Motion Approach for Arbitrary Lagrange–Euler Simulations by Antonin Leprevost, Vincent Faucher, Maria Adela Puscas

“…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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A Computationally Efficient FPTAS for Convex Stochastic Dynamic Programs by Halman, Nir, Nannicini, Giacomo, Orlin, James B

“…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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Improving the accuracy and efficiency of online calibration for simulation-based Dynamic Traffic Assignment by Zhang, Haizheng, Seshadri, Ravi, Prakash, A Arun, Antoniou, Constantinos, Pereira, Francisco C, Ben-Akiva, Moshe

“…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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Linear regression with partially mismatched data: local search with theoretical guarantees by Mazumder, Rahul, Wang, Haoyue

“…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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Evaluation of 'best' machine learning algorithm in classification of arrhythmia by Low, Jonathan Jun Zhee

“…Based on the computational performance, K-Nearest Neighbours seemed to be the best performing algorithm among the four.…”
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Stochastic inner product core for digital FIR filters by Hijazin, Ismat, Wong, Ming Ming, Wong, Dennis, Zhang, Cishen

“…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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Stein-based preconditioners for weak-constraint 4D-var by Palitta, D, Tabeart, JM

“…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. …”

Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures by Russell, F, Düben, P, Niu, X, Luk, W, Palmer, T

“…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. …”

Charge-carrier cooling and polarization memory loss in formamidinium tin triiodide by Savill, K, Klug, M, Milot, R, Snaith, H, Herz, L

“…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. …”

Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O₂ A- and CO₂ Bands by Ana del Águila, Dmitry S. Efremenko, Víctor Molina García, Michael Yu. Kataev

“…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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UAV-Borne Mapping Algorithms for Low-Altitude and High-Speed Drone Applications by Jincheng Zhang, Artur Wolek, Andrew R. Willis

“…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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Petri Net Toolbox for Multi-Robot Planning under Uncertainty by Carlos Azevedo, António Matos, Pedro U. Lima, Jose Avendaño

“…We characterize the computational performance of the toolbox with a series of stress tests. …”
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How Spatial Epidemiology Helps Understand Infectious Human Disease Transmission by Chia-Hsien Lin, Tzai-Hung Wen

“…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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Convolutional Extreme Learning Machines: A Systematic Review by Iago Richard Rodrigues, Sebastião Rogério da Silva Neto, Judith Kelner, Djamel Sadok, Patricia Takako Endo

“…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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A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction by Hendrik Wöhrle, Marc Tabie, Su Kyoung Kim, Frank Kirchner, Elsa Andrea Kirchner

“…We show that it provides a high computational performance and significantly lower power consumption in comparison to a standard PC. …”
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An Effective Method for Computing the Least-Cost Path Using a Multi-Resolution Raster Cost Surface Model by Qiuling Tang, Wanfeng Dou

“…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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