Packages required for this program will be installed with pip during the installation process and can be seen in therequirements.txtfile. Usage The documentation of the python-package can be foundhere. One basic usage could be: importpandasaspdfromidf_analysisimportIntensityDurationFrequencyAnalysefrom...
Dependencies include 3rd party scientific Python packages: numpy pandas scipy matplotlib seaborn You can get and manage these dependencies using the Anaconda distribution, which we recommend. In addition, this project requires the following dependencies: mne >= 0.18.2 fooof >= 1.0.0 lisc >= 0.1...
The data were processed using the Pandas Framework version 1.5.2 and the NumPy numerical library version 1.23.5, running over Python version 3.10. Pile-up (PU) events and saturated traces were further removed as described in [39]. This process yielded three datasets containing the most represent...
Matplotlib (3.7.1) was used in conjunction with Python (3.11.2), Pandas (2.0.1), Seaborn (0.12.2), and Numpy (1.24.3) (Python Software Foundation, Delaware, USA), to generate the 3D plots of the OES cross-sectional data. 2.6. Electron and gas temperatures The plasma's rotational ...
2.90 GHz and 16 GB RAM; In terms of software, the Python 3.8.2 programming environment is used, as well as the machine learning framework scikit-learn 1.3.1, the deep learning framework PyTorch 2.0.1, the scientific computing library NumPy 1.24.4, and the data operation library Pandas 2.0...
To implement the digital twin, we used Python software Version 3.12, with several libraries and packages, e.g., Tensorflow Version 2.16.1, Keras Version 3, Numpy Version 1.26.1, and Pandas Version 3.1.3, just to mention a few [10]. The acquired data were transformed into a Pandas data...
To implement the digital twin, we used Python software Version 3.12, with several libraries and packages, e.g., Tensorflow Version 2.16.1, Keras Version 3, Numpy Version 1.26.1, and Pandas Version 3.1.3, just to mention a few [10]. ...
The implementation uses the following Python libraries: scikit-learn: Random Forest implementation with RandomForestRegressor; pandas and numpy: Data manipulation and numerical computations; matplotlib and seaborn: Visualization and plotting; logging: Comprehensive logging for debugging and tracking; Custom mod...
In the study [15], new improved RBF NNs are designed and tested for the decision support of business management. The improvements concern the implementation of new shapes of the activation functions of the generalized normal distribution (GED) type with a search for values of a shape parameter ...
Taking into account the spatial distribution in the following section, we believe that the vehicles are being used by customers to hang out near the city center, where most of the attractions are located. Figure 1. Hourly request throughout the day. For a personalized experience, it is ...