Effect of particularisation size on the accuracy and efficiency of a multiscale tumours' growth model
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3657
Abstract: In silico, medicine models are frequently used to represent a phenomenon across multiples space–time scales. Most of these multiscale models require impracticable execution times to be solved, even using high performance computing systems, because typically… read more here.
Keywords: scale model; particularisation; model; computational cost ... See more keywords
On the accuracy factors and computational cost of the GIAO–DFT calculation of 15N NMR chemical shifts of amides
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Chemistry"
DOI: 10.1002/mrc.4625
Abstract: The main factors affecting the accuracy and computational cost of Gauge‐independent Atomic Orbital–density functional theory (GIAO–DFT) calculation of 15N NMR chemical shifts in the benchmark series of 16 amides are considered. Among those are the… read more here.
Keywords: chemical shifts; nmr chemical; computational cost; 15n nmr ... See more keywords
An adaptive mesh refinement approach for solving non-Hertzian elastic contact problems
Sign Up to like & getrecommendations! Published in 2018 at "Meccanica"
DOI: 10.1007/s11012-017-0806-y
Abstract: Semi-analytical methods are a common way of solving non-hertzian contact problems when designing mechanical components. These methods require of the discretization of the domain into a set of pressure elements and their accuracy and computational… read more here.
Keywords: contact; adaptive mesh; computational cost; non hertzian ... See more keywords
A New Voxelization Strategy in Compressed-Sensing (CS)-Based Iterative CT Reconstruction for Reducing Computational Cost: Simulation and Experimental Studies
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-017-0288-3
Abstract: In recent computed tomography (CT) reconstruction, iterative methods have been often used owing to the potential to provide three-dimensional (3D) images of superior reconstruction quality to common filtered-backprojection (FBP)-based methods. However, these methods require enormous… read more here.
Keywords: reconstruction; compressed sensing; computational cost; voxelization strategy ... See more keywords
Low computational-cost cell detection method for calcium imaging data
Sign Up to like & getrecommendations! Published in 2022 at "Neuroscience research"
DOI: 10.1016/j.neures.2022.02.008
Abstract: The rapid progress of calcium imaging techniques has reached a point where the activity of thousands to tens of thousands of cells can be recorded simultaneously with single-cell resolution in a field-of-view (FOV) of about… read more here.
Keywords: low computational; cell; cell detection; computational cost ... See more keywords
Fast and Lightweight Human Pose Estimation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069102
Abstract: Although achieving significant improvement on pose estimation, the major drawback is that most top-performing methods tend to adopt complex architecture and spend large computational cost to achieve higher performance. Due to the edge device’s limited… read more here.
Keywords: method; pose estimation; lightweight human; fast lightweight ... See more keywords
Low Computational Cost Mirror Kirchhoff Approximation for Predicting Shadowing Effect
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3155547
Abstract: This paper proposes a 2-dimensional low computational cost mirror Kirchhoff approximation (MKA) and the design of simulation parameters to accurately predict the shadowing gain for an arbitrarily shaped conductor cylinder. The disadvantages of the conventional… read more here.
Keywords: kirchhoff approximation; computational cost; mirror kirchhoff; cost mirror ... See more keywords
Aggregation of Masked Outputs for Improving Accuracy–Cost Trade-Off in Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3265077
Abstract: Downsampling layers are essential for convolutional neural network-based semantic segmentation methods to widen their receptive fields. However, as fine-grained information is lost in the layers, the accuracy of these methods becomes limited. The need for… read more here.
Keywords: semantic segmentation; computational cost; intermediate outputs; cost ... See more keywords
Efficient Computational Cost Saving in Video Processing for QoE Estimation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3373193
Abstract: No-Reference video quality assessment has become a trending and challenging hot topic in estimating perceived quality in audiovisual content. In this paper, we present a proposal to considerably reduce the computational cost of video processing… read more here.
Keywords: computational cost; video; qoe estimation; video processing ... See more keywords
A Low Computational Cost Deep Learning Approach for Localization and Classification of Diseases and Pests in Coffee Leaves
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3562832
Abstract: Coffee cultivation is of extreme economic importance in many regions of the world, but productivity is hampered by the various diseases and pests that affect the leaves of the plants, damaging both the quality and… read more here.
Keywords: classification; coffee; diseases pests; coffee leaves ... See more keywords
A New Benchmark and Low Computational Cost Localization Method for Cephalometric Analysis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3386021
Abstract: In this study, we present WebCeph2k, an extensive and diverse cephalometric landmark localization dataset that surpasses previous benchmark datasets in terms of number of landmark annotations. This diverse cephalometric landmarks dataset has significant value in… read more here.
Keywords: method; dataset; landmark localization; localization ... See more keywords