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This paper introduces the practicalities and benefits of using SimPy, a discrete event simulation (DES) module written in Python, for modeling and simulating complex systems. Through a step-by-step exploration of the classical Dining…

Mathematical Software · Computer Science 2024-05-06 Dmitry Zinoviev

The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast simulation core written in C++ with automatic monitoring…

Computation · Statistics 2019-08-02 Iñaki Ucar , Bart Smeets , Arturo Azcorra

DESP-C++ is a C++ discrete-event random simulation engine that has been designed to be fast, very easy to use and expand, and valid. DESP-C++ is based on the resource view. Its complete architecture is presented in detail, as well as a…

Databases · Computer Science 2016-11-29 Jérôme Darmont

In recent years, there has been increasing interest in network diffusion models and related problems. The most popular of these are the independent cascade and linear threshold models. Much of the recent experimental work done on these…

Social and Information Networks · Computer Science 2024-04-29 Eliot W. Robson , Dhemath Reddy , Abhishek K. Umrawal

The use of Digital Twins is set to transform the manufacturing sector by aiding monitoring and real-time decision making. For several applications in this sector, the system to be modeled consists of a mix of discrete-event and continuous…

Systems and Control · Electrical Eng. & Systems 2022-08-03 Neha Karanjkar , Subodh M. Joshi

Most particle induced X-ray emission (PIXE) data analysis codes are not focused on handling multilayered samples. We have developed an open-source library called "LibCPIXE", for PIXE data analysis. It is written in standard C and implements…

Materials Science · Physics 2007-07-18 C. Pascual-Izarra , N. P. Barradas , M. A. Reis

The capability of process mining techniques in providing extensive knowledge and insights into business processes has been widely acknowledged. Process mining techniques support discovering process models as well as analyzing process…

Software Engineering · Computer Science 2021-02-18 M. Pourbafrani , Sandhya Vasudevan , Faizan Zafar , Yuan Xingran , Ravikumar Singh , Wil M. P. van der Aalst

Nowadays there is a large availability of discrete event simulation software that can be easily used in different domains: from industry to supply chain, from healthcare to business management, from training to complex systems design.…

Other Computer Science · Computer Science 2010-04-20 Antonio Cimino , Francesco Longo , Giovanni Mirabelli

We introduce SciWING, an open-source software toolkit which provides access to pre-trained models for scientific document processing tasks, inclusive of citation string parsing and logical structure recovery. SciWING enables researchers to…

Digital Libraries · Computer Science 2020-10-26 Abhinav Ramesh Kashyap , Min-Yen Kan

Organizations that develop software have recognized that software process models are particularly useful for maintaining a high standard of quality. In the last decade, simulations of software processes were used in several settings and…

Software Engineering · Computer Science 2014-02-24 Holger Neu , Thomas Hanne , Jürgen Münch , Stefan Nickel , Andreas Wirsen

DESlib is an open-source python library providing the implementation of several dynamic selection techniques. The library is divided into three modules: (i) \emph{dcs}, containing the implementation of dynamic classifier selection methods…

Machine Learning · Computer Science 2020-03-06 Rafael M. O. Cruz , Luiz G. Hafemann , Robert Sabourin , George D. C. Cavalcanti

Just like the scientific data they generate, simulation workflows for research should be findable, accessible, interoperable, and reusable (FAIR). However, while significant progress has been made towards FAIR data, the majority of science…

Digital Libraries · Computer Science 2022-05-04 Martin Hunt , Steven Clark , Daniel Mejia , Saaketh Desai , Alejandro Strachan

Nowadays the analysis of dynamics of and on networks represents a hot topic in the Social Network Analysis playground. To support students, teachers, developers and researchers in this work we introduce a novel framework, namely NDlib, an…

Social and Information Networks · Computer Science 2018-01-19 Giulio Rossetti , Letizia Milli , Salvatore Rinzivillo , Alina Sirbu , Fosca Giannotti , Dino Pedreschi

Tick is a statistical learning library for Python~3, with a particular emphasis on time-dependent models, such as point processes, and tools for generalized linear models and survival analysis. The core of the library is an optimization…

Machine Learning · Statistics 2018-03-16 Emmanuel Bacry , Martin Bompaire , Stéphane Gaïffas , Soren Poulsen

QC Lab is an open-source Python package for QC dynamics simulations aimed to promote the development of QC algorithms, and their application to a wide variety of relevant model problems. It follows a modular design that facilitates…

Chemical Physics · Physics 2025-10-28 Alex Krotz , Ethan Byrd , Ken Miyazaki , Roel Tempelaar

Existing LoRaWAN/LoRa simulators consist of large, complicated C++ codebases and often do not support all device classes. This paper presents the design of a simple to use, Python-based discrete-event simulator that addresses these gaps…

Networking and Internet Architecture · Computer Science 2026-05-21 Matthijs Reyers , Niels Hokke , R. R. Venkatesha Prasad

River is a machine learning library for dynamic data streams and continual learning. It provides multiple state-of-the-art learning methods, data generators/transformers, performance metrics and evaluators for different stream learning…

We have implemented an extension for the observational seismology obspy software package to provide a streamlined tool tailored to the processing of seismic signals from non-earthquake sources, in particular those from deforming systems…

Geophysics · Physics 2021-08-20 Ross J. Turner , Rebecca B. Latto , Anya M. Reading

preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During…

We present the CAPD::DynSys library for rigorous numerical analysis of dynamical systems. The basic interface is described together with several interesting case studies illustrating how it can be used for computer-assisted proofs in…

Numerical Analysis · Mathematics 2021-07-28 Tomasz Kapela , Marian Mrozek , Daniel Wilczak , Piotr Zgliczyński
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