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Error Function and Certain Subclasses of Analytic Univalent Functions [PDF]
Sahand Communications in Mathematical Analysis, 2023 In the present investigation, our main aim is to introduce a certain subclass of analytic univalent functions related to the Error function. We discuss the implications of our main results, including the coefficient bound, extreme points, weighted mean ...
Seyed Hadi Sayedain Boroujeni +1 more
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Industrial Scale RTD Measurement Using Gold Radiotracer [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2021 Residence Time Distribution (RTD) is a suitable method to find out the hydrodynamics of any industrial or lab-scale reactor. Radiotracer 198Au was used to trace the liquid phase of the industrial scale continuous three tube pulp digester. The radiotracer
Meenakshi Sheoran +4 more
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I-CNet: Leveraging Involution and Convolution for Image Classification
IEEE Access, 2022 Convolution is widely adapted in deep learning models on image classification tasks for extracting hidden spatial-domain representations. However, as convolution is channel-specific, the potential cross-channel correlations in images are often neglected.
Guihuang Liang, Haoxiang Wang
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A Two-Stage Method for Diagnosing COVID-19, Leveraging CNN, and Transfer Learning on CT Scan Images [PDF]
International Journal of Web Research, 2023 Lung infection represents one of the most perilous indicators of Covid-19. The most efficient diagnostic approach entails the analysis of CT scan images. Utilizing deep learning algorithms and machine vision, computer scientists have devised a method for
Touba torabipour +2 more
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International Journal of Metrology and Quality Engineering, 2021 The concepts of convolution and deconvolution are well known in the field of physical measurement. In particular, they are of interest in the field of metrology, since they can positively influence the performance of the measurement.
Fanton Jean-Pierre
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A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization
IEEE Access, 2023 Tensor completion is the problem of filling-in missing parts of multidimensional data using the values of the reference elements. Recently, Multiway Delay-embedding Transform (MDT), which considers a low-dimensional space in a delay-embedded space with ...
Hiromu Takayama, Tatsuya Yokota
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OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA
Mathematics, 2021 Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing.
Roberto L. Castro +2 more
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Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs
Sensors, 2023 Fetal brain tissue segmentation is essential for quantifying the presence of congenital disorders in the developing fetus. Manual segmentation of fetal brain tissue is cumbersome and time-consuming, so using an automatic segmentation method can greatly ...
Xiaona Huang +7 more
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Binary Operations in Metric Spaces Satisfying Side Inequalities
Mathematics, 2021 The theory of metric spaces is a convenient and very powerful way of examining the behavior of numerous mathematical models. In a previous paper, a new operation between functions on a compact real interval called fractal convolution has been introduced.
María A. Navascués +2 more
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Multi-Task Segmentation and Classification Network for Artery/Vein Classification in Retina Fundus
Entropy, 2023 Automatic classification of arteries and veins (A/V) in fundus images has gained considerable attention from researchers due to its potential to detect vascular abnormalities and facilitate the diagnosis of some systemic diseases.
Junyan Yi, Chouyu Chen
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