Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...
Proteins are the executors of cellular function and the main building blocks of cellular structures. Each protein within the protein universe, defined as a collection of all proteins from all ...
Herpes simplex virus type 1 (HSV-1) remodels the host chromatin structure and induces a host-to-virus transcriptional switch during lytic infection. We combine super-resolution imaging and ...
As a B.Tech student embarking on an exciting project to create an Air Canvas using Python and OpenCV, it’s essential to understand the underlying principles, potential applications, development costs, ...
TSFitPy is a pipeline designed to determine stellar abundances and atmospheric parameters through the use of Nelder-Mead (simplex algorithm) minimization. It calculates model spectra "on the fly" ...
CJ Blossom Park, CJ BIO Research Institute, 55, Gwanggyo-ro 42beon-gil, Yeongtong-gu, Suwon-Si, Gyeonggi-do 16495, Republic of Korea ...
Wrap the computation into class FZZ::FastZigzag for easy invoking from C++ codes Filtration does not need to end with empty complex This implemented algorithm converts the input simplex-wise zigzag ...
Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...
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