Results 41 to 50 of about 15,675 (200)
A literature survey of low-rank tensor approximation techniques [PDF]
, 2013 During the last years, low-rank tensor approximation has been established as a new tool in scientific computing to address large-scale linear and multilinear algebra problems, which would be intractable by classical techniques.
Grasedyck, Lars +2 more
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Unravelling Morphological and Topological Energy Contributions of Metal Nanoparticles
Nanomaterials, 2021 Metal nanoparticles (NPs) are ubiquitous in many fields, from nanotechnology to heterogeneous catalysis, with properties differing from those of single-crystal surfaces and bulks.
Lorena Vega +2 more
doaj +1 more source
A Bayesian Causal Model for Matrix-Valued Exposures With Applications to Radiotherapy Planning. [PDF]
Stat MedABSTRACT In radiotherapy for cancer, organs surrounding the target tumor, known as organs‐at‐risk (OARs), should be protected from excessive radiation to avoid toxicity. Radiation exposure to multiple OARs can be summarized using matrix‐valued dose‐volume histograms (DVH), and understanding the causal relationship between DVHs and toxicity outcomes can
Liu Z +6 more
europepmc +2 more sources
Axiomatic Attribution for Multilinear Functions [PDF]
, 2011 We study the attribution problem, that is, the problem of attributing a change in the value of a characteristic function to its independent variables. We make three contributions.
Sun, Yi, Sundararajan, Mukund
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Remote Sensing, 2021 Climate change and its impact on agriculture are challenging issues regarding food production and food security. Many researchers have been trying to show the direct and indirect impacts of climate change on agriculture using different methods.
Sadia Alam Shammi, Qingmin Meng
doaj +1 more source
Self-Learning Determinantal Quantum Monte Carlo Method [PDF]
, 2016 Self-learning Monte Carlo method [arXiv:1610.03137, 1611.09364] is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we implement this method in the framework of determinantal quantum Monte Carlo
Fu, Liang +4 more
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Frontiers in Environmental ScienceRemote sensing has become increasingly valuable for monitoring inland water quality across space and time. However, detecting key water quality parameters (WQPs) using satellite imagery in small water bodies remains challenging.
Diaa Sheishah +11 more
doaj +1 more source
Tensor Decompositions for Modeling Inverse Dynamics
, 2017 Modeling inverse dynamics is crucial for accurate feedforward robot control. The model computes the necessary joint torques, to perform a desired movement.
Baier, Stephan, Tresp, Volker
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Remote Sensing, 2023 Downward short-wave (SW) solar radiation is the only essential energy source powering the atmospheric dynamics, ocean dynamics, biochemical processes, and so forth on our planet. Clouds are the main factor limiting the SW flux over the land and the Ocean.
Mikhail Krinitskiy +5 more
doaj +1 more source
Sparse Volterra and Polynomial Regression Models: Recoverability and Estimation
, 2011 Volterra and polynomial regression models play a major role in nonlinear system identification and inference tasks. Exciting applications ranging from neuroscience to genome-wide association analysis build on these models with the additional requirement ...
Giannakis, Georgios B. +1 more
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