Results 11 to 20 of about 27,805 (234)
Programming biological models in Python using PySB [PDF]
Molecular Systems Biology, 2013 Mathematical equations are fundamental to modeling biological networks, but as networks get large and revisions frequent, it becomes difficult to manage equations directly or to combine previously developed models. Multiple simultaneous efforts to create
Carlos F Lopez +3 more
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pygwb: A Python-based library for gravitational-wave background searches
, 2023 The collection of gravitational waves (GWs) that are either too weak or too numerous to be individually resolved is commonly referred to as the gravitational-wave background (GWB).
Liu), Arianna I. Renzini et al. (including Guo Chin
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Intelligent assessment method for rockburst hazard areas based on image recognition technology
Gong-kuang zidonghua, 2023 In traditional rockburst hazard assessment methods, there are problems of large computational complexity and low precision in dividing hazardous areas. In order to meet the development needs of intelligent and visual prevention and control of rockburst ...
HAN Gang +4 more
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PYDOP: A Generic Python Library for Delta-Oriented Programming
, 2023 International audienceDelta-Oriented Programming (DOP) is a modular and flexible approach to implement Software Product Lines (SPLs). In DOP, an SPL is structured in four parts: the feature model describes the configuration space of the SPL; the base ...
Lienhardt, Michael
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Frontiers in Built Environment, 2023 Design code-based “life-safety” requirements for structural earthquake and tsunami design offer reasonable guidelines to construct buildings that will remain standing during a tsunami or seismic event.
Nicolette S. Lewis +6 more
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CppInterOp: Advancing Interactive C++ for High Energy Physics [PDF]
EPJ Web of ConferencesThe Cling C++ interpreter has transformed language bindings by enabling incremental compilation at runtime. This allows Python to interact with C++ on demand and lazily construct bindings between the two.
Jomy Aaron +4 more
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Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets
Entropy, 2020 Construction of graph-based approximations for multi-dimensional data point clouds is widely used in a variety of areas. Notable examples of applications of such approximators are cellular trajectory inference in single-cell data analysis, analysis of ...
Alexander Chervov +2 more
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TensorKrowch: Smooth integration of tensor networks in machine learning [PDF]
QuantumTensor networks are factorizations of high-dimensional tensors into networks of smaller tensors. They have applications in physics and mathematics, and recently have been proposed as promising machine learning architectures.
José Ramón Pareja Monturiol +2 more
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Heritage Science, 2023 Traditional villages are repositories for preserving human artifacts and cultural heritage. An investigation of the spatial distribution characteristics and factors influencing traditional villages in provincial administrative regions can provide new ...
Wenxiang Liu, Ying Xue, Cun Shang
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Кібернетика та комп'ютерні технології, 2022 Introduction. At present, with the increase in the number of data and the complexity of various processes in many branches of the national economy, the classical methods of answering have ceased to meet the needs.
Victor Andriichuk, Violeta Tretynyk
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