Results 21 to 30 of about 55,219 (268)

Lcapy: symbolic linear circuit analysis with Python [PDF]

PeerJ Computer Science, 2022
Lcapy is an open-source Python package for solving linear circuits symbolically. It uses a superposition of DC analysis, AC (phasor) analysis, transient (Laplace) analysis, and noise analysis.
Michael Hayes
doaj   +2 more sources

Identifying the Most Relevant Lag with Runs

Entropy, 2015
In this paper, we propose a nonparametric statistical tool to identify the most relevant lag in the model description of a time series. It is also shown that it can be used for model identification.
Úrsula Faura, Matilde Lafuente, Mariano Matilla-García, Manuel Ruiz   +3 more
doaj   +1 more source

Statechart Analysis with Symbolic PathFinder [PDF]

2012 IEEE Fifth International Conference on Software Testing, Verification and Validation, 2012
We report here on our on-going work that addresses the automated analysis and test case generation for software systems modeled using multiple State chart formalisms.
Corina S. Pasareanu, Daniel Balasubramanian   +1 more
openaire   +1 more source

Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-Beamformed Connectivity Analysis

Frontiers in Neuroscience, 2018
The resting activity of the brain can be described by so-called intrinsic connectivity networks (ICNs), which consist of spatially and temporally distributed, but functionally connected, nodes.
Stavros I. Dimitriadis, Stavros I. Dimitriadis, Stavros I. Dimitriadis, Stavros I. Dimitriadis, Stavros I. Dimitriadis, Stavros I. Dimitriadis, Bethany Routley, Bethany Routley, David E. Linden, David E. Linden, David E. Linden, David E. Linden, David E. Linden, Krish D. Singh, Krish D. Singh   +14 more
doaj   +1 more source

Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models

Frontiers in Neuroinformatics, 2018
On the level of the spiking activity, the integrate-and-fire neuron is one of the most commonly used descriptions of neural activity. A multitude of variants has been proposed to cope with the huge diversity of behaviors observed in biological nerve ...
Inga Blundell, Dimitri Plotnikov, Dimitri Plotnikov, Jochen M. Eppler, Abigail Morrison, Abigail Morrison, Abigail Morrison   +6 more
doaj   +1 more source

Permutation Entropy as a Measure of Information Gain/Loss in the Different Symbolic Descriptions of Financial Data

Entropy, 2020
Financial markets give a large number of trading opportunities. However, over-complicated systems make it very difficult to be effectively used by decision-makers.
Jan Kozak, Krzysztof Kania, Przemysław Juszczuk   +2 more
doaj   +1 more source

Symbolic analysis of linear electric circuits with MIT Julia Symbolics.jl package [PDF]

Tehnika
This paper presents novel free open-source software JuliaCAP for symbolic analysis of linear time-invariant electric circuits in the complex domain of the Unilateral Laplace Transform or Phasor Transform. Modified Nodal Analysis (MNA) has been chosen for
Došlo Glorija Z., Rajković Kristina D.
doaj   +1 more source

Axioms and Methods for Handling Differential Equations and Inverse Problems

Axioms
Modeling real-life problems requires a variety of differential equations that often cause significant challenges for researchers [...]
Zoltán Vizvári, Mihály Klincsik, Róbert Kersner, Péter Odry, Zoltán Sári, Vladimir Tadić   +5 more
doaj   +1 more source

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

Time Series Complexities and Their Relationship to Forecasting Performance

Entropy, 2020
Entropy is a key concept in the characterization of uncertainty for any given signal, and its extensions such as Spectral Entropy and Permutation Entropy. They have been used to measure the complexity of time series.
Mirna Ponce-Flores, Juan Frausto-Solís, Guillermo Santamaría-Bonfil, Joaquín Pérez-Ortega, Juan J. González-Barbosa   +4 more
doaj   +1 more source