Sepand HaghighiSharif University of Technology | SHARIF · Department of Computer Engineering
Sepand Haghighi
Master of Science
About
5
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Introduction
Publications
Publications (5)
p>Dataset includes Direct Borohydride Fuel Cell (DBFC) impedance and polarization test in anode with Pd/C, Pt/C and Pd decorated Ni–Co/rGO catalysts. In fact, different concentration of Sodium Borohydride (SBH), applied voltages and various anode catalysts loading with explanation of experimental details of electrochemical analysis are considered i...
Reported data in this paper are about Nafion 112 membrane standard tests and MEA activation tests of PEM fuel cell in various operation condition. Dataset include two general electrochemical analysis method, Polarization and Impedance curves. In this dataset, effect of different pressure of H2/O2 gas, different voltages and various humidity conditi...
Modeling and simulation of proton-exchange membrane fuel cells (PEMFC) may work as a powerful tool in the Research & development of renewable energy sources. The Open-Source PEMFC Simulation Tool (OPEM) is a modeling tool for evaluating the performance of proton exchange membrane fuel cells. This package is a combination of models (static/dynamic)...
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad ar...
Projects
Projects (2)
The target of ECSIM organization is promotion of open source software and experimental datasets related to power sources. In fact, valid modules by useful and inclusive programming languages like Python, provide a valuable simulation software pack for investigation in power sources such as fuel cells and batteries. On the other hand, datasets include electrochemical data from analysis of an experimental setup.
PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers.
Repo : https://github.com/sepandhaghighi/pycm
Webpage : http://pycm.shaghighi.ir
Document : http://pycm.shaghighi.ir/doc
