Results 101 to 110 of about 1,028,974 (354)
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network
IEEE Access, 2019 Convolutional Neural Networks (CNNs) have become one of the most successful machine learning techniques for image and video processing. The most computationally intensive part of the CNN is the convolutional layers, which have the multi-channel image and
Shengyu Fan +6 more
doaj +1 more source
Multiservice Loss Models in Single or Multi-Cluster C-RAN Supporting Quasi-Random Traffic
Applied Sciences, 2021 In this paper, a cloud radio access network (C-RAN) is considered where the baseband units form a pool of computational resource units and are separated from the remote radio heads (RRHs).
Iskanter-Alexandros Chousainov +3 more
doaj +1 more source
Semigroups of distributions with linear Jacobi parameters
, 2011 We show that a convolution semigroup of measures has Jacobi parameters polynomial in the convolution parameter $t$ if and only if the measures come from the Meixner class.
A. Nica +45 more
core +1 more source
FEBS Open Bio, EarlyView.In human monocytic cells THP‐1, a limited uptake of native—not oxidized—LDL/VLDL induced expression of scavenger receptor A and cellular adhesion. Induction was inhibited by lysosomotropic (WR‐1065) and lipophilic (BHT) antioxidants and by siRNAs against ferritinophagy.
Martina Čierna +4 more
wiley +1 more source
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
doaj +1 more source
Convolution algebras and the deformation theory of infinity-morphisms
, 2018 Given a coalgebra C over a cooperad, and an algebra A over an operad, it is often possible to define a natural homotopy Lie algebra structure on hom(C,A), the space of linear maps between them, called the convolution algebra of C and A.
Robert-Nicoud, Daniel, Wierstra, Felix
core +2 more sources
Single Image Super Resolution Using Deep Residual Learning
AISingle Image Super Resolution (SSIR) is an intriguing research topic in computer vision where the goal is to create high-resolution images from low-resolution ones using innovative techniques.
Moiz Hassan +2 more
doaj +1 more source
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
MathematicsIn this paper, we create a new subclass of convex functions given with tangent functions applying the combination of Babalola operators and Binomial series.
Sheza M. El-Deeb +1 more
doaj +1 more source