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gcplyr: an R package for microbial growth curve data analysis
BackgroundCharacterization of microbial growth is of both fundamental and applied interest. Modern platforms can automate collection of...
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Multidimensional graph transformer networks for trajectory prediction in urban road intersections
With the rapid development of autonomous driving, accurately predicting the future movement trajectories of various agents in complex scenarios, such...
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ProcaryaSV: structural variation detection pipeline for bacterial genomes using short-read sequencing
BackgroundStructural variations play an important role in bacterial genomes. They can mediate genome adaptation quickly in response to the external...
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A robust hubness-based algorithm for image data stream classification
Image data stream classification is in high demand and can be used in various contexts, such as public security, medicine, and remote sensing....
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Video anomaly localization using modified faster RCNN with soft NMS algorithm
Localization of anomalies in surveillance videos is a critical component of smart and intelligent surveillance systems. The goal of anomaly detection...
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An efficient facial emotion recognition using convolutional neural network with local sorting binary pattern and whale optimization algorithm
Facial emotion recognition is one of the fields of machine learning and pattern recognition. Facial expression recognition is used in a variety of...
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Microplasticity in polycrystalline materials from thermal cycling
In this work, we present a finite deformation, fully coupled thermomechanical crystal plasticity framework. The model includes temperature dependence...
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Generative Modelling of Cortical Receptor Distributions from Cytoarchitectonic Images in the Macaque Brain
Neurotransmitter receptor densities are relevant for understanding the molecular architecture of brain regions. Quantitative in vitro receptor...
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Computational gastronomy: capturing culinary creativity by making food computable
Cooking, a quintessential creative pursuit, holds profound significance for individuals, communities, and civilizations. Food and cooking transcend...
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Granular Syntax Processing with Multi-Task and Curriculum Learning
Syntactic processing techniques are the foundation of natural language processing (NLP), supporting many downstream NLP tasks. In this paper, we...
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Parameter identification and uncertainty propagation of hydrogel coupled diffusion-deformation using POD-based reduced-order modeling
This study explores reduced-order modeling for analyzing time-dependent diffusion-deformation of hydrogels. The full-order model describing hydrogel...
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Topological phase estimation method for reparameterized periodic functions
We consider a signal composed of several periods of a periodic function, of which we observe a noisy reparametrization. The phase estimation problem...
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An adaptive finite element DtN method for the acoustic-elastic interaction problem
Consider the scattering of a time-harmonic acoustic incident wave by a bounded, penetrable and isotropic elastic solid, which is immersed in a...
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Tensor Robust Principal Component Analysis via Non-convex Low-Rank Approximation Based on the Laplace Function
Recently, the tensor robust principal component analysis (TRPCA), aiming to recover the true low-rank tensor from noisy data, has attracted...
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Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice
The brain is an intricate system that controls a variety of functions. It consists of a vast number of cells that exhibit diverse characteristics. To...
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Estimates for coefficients in Jacobi series for functions with limited regularity by fractional calculus
In this paper, optimal estimates on the decaying rates of Jacobi expansion coefficients are obtained by fractional calculus for functions with...
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Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification
AbstractThe emergence of antibiotic-resistant microbes raises a pressing demand for novel alternative treatments. One promising alternative is the...
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LVPocket: integrated 3D global-local information to protein binding pockets prediction with transfer learning of protein structure classification
BackgroundPrevious deep learning methods for predicting protein binding pockets mainly employed 3D convolution, yet an abundance of convolution...
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Twin Bounded Support Vector Machine with Capped Pinball Loss
In order to obtain a more robust and sparse classifier, in this paper, we propose a novel classifier termed as twin bounded support vector machine...
