Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG by H. Solieman, S. Sali

“…The data labeling was automated using the Python programming language. Initially, all signals are subjected to preprocessing followed by their plotting and segmenting in 2-second windows. …”
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How EEG preprocessing shapes decoding performance by Roman Kessler, Alexander Enge, Michael A. Skeide

“…We systematically varied key preprocessing steps, such as filtering, referencing, baseline interval, detrending, and multiple artifact correction steps, all of which were implemented in MNE-Python. Then we performed trial-wise binary classification (i.e., decoding) using neural networks (EEGNet), or time-resolved logistic regressions. …”
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Sequence Comparison Alignment-Free Approach Based on Suffix Tree and L-Words Frequency by Inês Soares, Ana Goios, António Amorim

“…Our method starts by a computation of a generalized suffix tree of all sequences, which is completed in linear time. …”
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An advanced method of interpolation of short-focus electron beams boundary trajectories using higher-order root-polynomial functions and its comparative study by Igor Melnyk, Alina Pochynok, Mykhailo Skrypka

“…By providing analysis, it is shown and proven that lower-order interpolation usually gives the minimal value of average error, using the method of self-connected interpolation and extrapolation gives the minimal error for estimation of focal beam parameters, and higher-order interpolation is suitable to obtain a uniform error value over the entire interpolation interval. All results of error estimation were obtained using original computer software written in Python.…”
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Sull’utilità e i problemi di un’edizione lemmatizzata. Un caso esempio offerto da Roman de Horn, King Horn e Horn Childe and Maiden Rimnild by Pierandrea Gottardi

“…A program was written employing the Natural Language Toolkit module of Python to edit and lemmatize each witness. A private MySQL database was developed, containing all the lemmas from the Middle English Dictionary and the Anglo-Norman Dictionary: the database hastened the process of lemmatization. …”
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Generative Design of Housing Spatial Layout Based on Rectangular Spaces by Javid Ahmadi, Seyyed Mehdi Maddahi, Reza Mirzaei

“…The generative spatial layout design process can generate and optimize a wide range of design responses by complying with all desired requirements and criteria and evaluating them based on one or more specific functions. …”
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Predicting Readmission Among High-Risk Discharged Patients Using a Machine Learning Model With Nursing Data: Retrospective Study by Eui Geum Oh, Sunyoung Oh, Seunghyeon Cho, Mir Moon

“…The analysis was conducted using Python Language Reference, version 3.11.3. (Python Software Foundation). …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…Special attention is paid to data processing in complex network structures using the Python language and its various available libraries.Results. …”
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Precision analysis of NGC 2158 with Gaia DR3 by Nasser M. Ahmed, A. L. Tadross

“…We employed the pyUPMASK Python package and HDBSCAN algorithms to identify the cluster member stars. …”
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Prediction of Human Papillomavirus-Host Oncoprotein Interactions Using Deep Learning by Sheila Santa, Samuel Kojo Kwofie, Kwasi Agyenkwa-Mawuli, Osbourne Quaye, Charles A Brown, Emmanuel A Tagoe

“…Training of the model was performed on the SPYDER (scientific python development environment) platform using python libraries; Scikit-learn, Pandas, NumPy, and TensorFlow. …”
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MORPHOLOGICAL VARIABILITY OF LEAVES OF ACER NEGUNDO L. POPULATIONS IN THE ALTITUDINAL GRADIENT OF THE NORTH-WEST CAUCASUS (REPUBLIC OF ADYGEA) by Evgenia M. Ednich, Irina V. Chernyavskaya, Tatyana N. Tolstikova, Mariet N. Khagur, Marat V. Aliev

“…Morphological features of the leaf (maximum length of the leaf blade, maximum width, angle between the central and lateral vein of the upper leaf) were measured with a caliper with an accuracy of ± 0.01 mm and a protractor with an accuracy of 1°; leaf thickness – by a Turgoromer-1 device with a measuring head of the TN10-60T system; leaf area calculation – using algorithms in Python 3.1. Statistical analysis of the morphological features variability was performed by means of descriptive statistics methods, principal component analysis, correlation analysis, variance and cluster analysis and linear regression with the programming language Python 3.11.1. …”
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Comprehensive comparison between artificial intelligence and multiple regression: prediction of Palmerston North’s temperature by M. Y. Tufail, S. Gul

“…We found that multiple linear regression and supervised machine learning slightly outperformed the ANN. All algorithms were executed in Python 3.9.16 under the Anaconda platform.…”
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DeepKymoTracker: A tool for accurate construction of cell lineage trees for highly motile cells. by Khelina Fedorchuk, Sarah M Russell, Kajal Zibaei, Mohammed Yassin, Damien G Hicks

“…It was benchmarked against five publicly available, automatic analysis tools and outperformed them in almost all respects. The software is written in pure Python and is freely available. …”
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Analysing governmental response to the COVID-19 pandemic by Ayman Imtyaz, Abid Haleem, Mohd Javaid

“…It had spread to almost all countries globally by March 2020. The pandemic severely affected health and economy globally, prompting countries to take drastic measures to combat the virus. …”
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Stock Price Predictions with LSTM-ARIMA Hybrid Model under Neutrosophic Treesoft sets with MCDM interaction by Florentin Smarandache, G. Dhanalakshmi, Dr. S. Sandhiya

“…A plotly graph is generated to compare the real and projected stock prices for all the equities. All these are implemented using the program language python, which seems to be simple and easily understandable when compared to the other programming languages like Julia, MATLAB and so on. …”
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Bayesian analysis of isothermal titration calorimetry for binding thermodynamics. by Trung Hai Nguyen, Ariën S Rustenburg, Stefan G Krimmer, Hexi Zhang, John D Clark, Paul A Novick, Kim Branson, Vijay S Pande, John D Chodera, David D L Minh

“…Here, we present a Bayesian framework for sampling from the posterior distribution of all thermodynamic parameters and other quantities of interest from one or more ITC experiments, allowing uncertainties and correlations to be quantitatively assessed. …”
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Simulation of Hybrid Solar Collector Operation in Heat Supply System by Stepan Mysak, Stepan Shapoval, Halyna Matiko

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Compressed 'CMB-lite' Likelihoods Using Automatic Differentiation by Lennart Balkenhol

“…We publicly release the SPT-3G 2018 TT/TE/EE lite likelihood and a python notebook showing its construction at https://github.com/Lbalkenhol/candl .…”
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Perceiving Etruscan Art: AI and Visual Perception by Maurizio Forte

“…OpenAI, ChatGPT-4 (accessed on 12 October 2024) was used in conjunction with Colab–Python in order to elaborate all the spreadsheets and data arising from the eye-tracking recording. …”
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Creation and Training of artifical neural network for Detection and Neutralization of Network DDos–attacks(“Denial of Service”) by P. V. Razumov, L. V. Cherkesova, E. A. Revyakina

“…The research is based on the use of the Python programming language in an environment that supports the training functions of PyCharm neural networks.Result. …”
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