LAUSR

Modeling Complex Pharmacokinetics of Long‐Acting Injectable Products Using Convolution‐Based Models With Nonparametric Input Functions

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0 Published in 2021 at "Journal of Clinical Pharmacology"

DOI: 10.1002/jcph.1842

Abstract: The interest in the development and the therapeutic use of long‐acting injectable (LAI) products for chronic or long‐term treatments has grown exponentially. The complexity and the multiphase drug release process represent serious issues for an… read more here.

Keywords: long acting; convolution based; lai products; convolution ... See more keywords

Convolution-based classification of audio and symbolic representations of music

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0 Published in 2018 at "Journal of New Music Research"

DOI: 10.1080/09298215.2018.1458885

Abstract: Abstract We present a novel convolution-based method for classification of audio and symbolic representations of music, which we apply to classification of music by style. Pieces of music are first sampled to pitch–time representations (spectrograms… read more here.

Keywords: classification; symbolic representations; representations music; audio symbolic ... See more keywords

Convolution-Based Neural Attention With Applications to Sentiment Classification

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0 Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2900335

Abstract: Neural attention mechanism has achieved many successes in various tasks in natural language processing. However, existing neural attention models based on a densely connected network are loosely related to the attention mechanism found in psychology… read more here.

Keywords: sentiment classification; attention; neural attention; convolution based ... See more keywords

DESEM: Depthwise Separable Convolution-Based Multimodal Deep Learning for In-Game Action Anticipation

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2 Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3271282

Abstract: In real-time strategy (RTS) games, to defeat their opponents, players need to choose and implement the correct sequential actions. Because RTS games like StarCraft II are real-time, players have a very limited time to choose… read more here.

Keywords: depthwise separable; game; separable convolution; convolution based ... See more keywords

Partial Convolution for Padding, Inpainting, and Image Synthesis

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1 Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2022.3209702

Abstract: Partial convolution weights convolutions with binary masks and renormalizes on valid pixels. It was originally proposed for image inpainting task because a corrupted image processed by a standard convolutional often leads to artifacts. Therefore, binary… read more here.

Keywords: partial convolution; convolution padding; image synthesis; convolution based ... See more keywords

Generalized Fast-Convolution-Based Filtered-OFDM: Techniques and Application to 5G New Radio

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0 Published in 2020 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2020.2971949

Abstract: This article proposes a generalized model and methods for fast-convolution (FC)-based waveform generation and processing with specific applications to fifth generation new radio (5G-NR). Following the progress of 5G-NR standardization in 3rd generation partnership project… read more here.

Keywords: fast convolution; ofdm; convolution based; new radio ... See more keywords

A Convolution-Based Shearlet Transform in Free Metaplectic Domains

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0 Published in 2021 at "Journal of Mathematics"

DOI: 10.1155/2021/2140189

Abstract: The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is… read more here.

Keywords: free metaplectic; based shearlet; shearlet transform; convolution based ... See more keywords

Convolution-based scatter correction using kernels combining measurements and Monte Carlo simulations.

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0 Published in 2017 at "Journal of X-ray science and technology"

DOI: 10.3233/xst-16185

Abstract: One of the well-recognized challenge of Cone-Beam Computed Tomography (CBCT) is scatter contamination within the projection images. Scatter degrades the image quality by decreasing the contrast, introducing cupping and shading artifacts and thus leading to… read more here.

Keywords: monte carlo; scatter kernels; carlo simulations; convolution based ... See more keywords