Reappraising double pendulum dynamics across multiple computational platforms by Sandy Herho, Faiz Fajary, Katarina Herho, Iwan Anwar, Rusmawan Suwarman, Dasapta Irawan

“…These were solved numerically using the efficient Runge-Kutta-Fehlberg method, implemented in Python, R, GNU Octave, and Julia, while runtimes and memory usage were extensively benchmarked across these environments. …”
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Integrated framework for supply chain with blockchain technology: a manufacturers’ perspective by Dnyaneshwar Jivanrao Ghode, Vinod Yadav, Rakesh Jain, Gunjan Soni

“…The revolution of Blockchain Technology (BT) allows all the parties in the network to share secured data among themselves. …”
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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). …”
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Archaeological Artefact Database of Finland (AADA) by P. Pesonen, U. Nordfors, M. Roose, J. Saipio, J. Tiilikkala, U. Sanwal, V. Immonen, O. Vesakoski, P. Onkamo

“…The database is intended to contain all typologically classifiable prehistoric artefacts found in Finland and held in Finnish collections. …”
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Human discrimination and modeling of high-frequency complex tones shed light on the neural codes for pitch. by Daniel R Guest, Andrew J Oxenham

“…A Python package is provided to reproduce these results, and to simulate responses to acoustic stimuli from the three previously published models of the human auditory nerve used in our analyses.…”
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starkiller: Subtracting Stars and Other Sources from IFU Spectroscopic Data Through Forward Modeling by Ryan Ridden-Harper, Michele T. Bannister, Sophie E. Deam, Thomas Nordlander

“…We present starkiller , an open-source Python package for forward-modeling flux retrieval from integral field unit (IFU) spectrograph data cubes. starkiller simultaneously provides stellar spectral classification, relative velocity, and line-of-sight extinction for all sources in a catalog, alongside a source-subtracted data cube. …”
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Hilbert-Huang Transform and machine learning based electromechanical analysis of induction machine under power quality disturbances by V. Indragandhi, R. Senthil Kumar, R. Saranya

“…The SVM method is trained with PQ data and classification results using MATLAB classifier and Python software.…”
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Using Kgen to Generate Cross‐Verified Apparent Equilibrium Constants (K∗’s) for Palaeoseawater Carbonate Chemistry by Ross Whiteford, Oscar Branson, Dennis Mayk

“…We present “Kgen,” a synchronised collection of three pieces of software to consistently calculate palaeoseawater K∗’s in Python, R, and Matlab. Kgen provides a simple, and nearly identical interface in each language. …”
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Streamlined Quantification of Microglial Morphology in Mouse Brains Using 3D Immunofluorescence Analysis by Maria de Donato, Armin Kouchaeknejad, Andreu de Donato, Gunter Van Der Walt, Emma Puighermanal

“…This user-friendly workflow, comprising standard immunofluorescence staining, built-in functions of standard microscopy image analysis software, and custom Python scripts for data analysis, allows the measurement of important morphological parameters such as soma and dendrite volumes and branching levels for users of all skill levels. …”
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Leveraging Bayesian optimization and multilayer artificial neural network (MLANN) for fault prediction in oil-immersed transformers by Elahe Moradi

“…Furthermore, the model demonstrated superior performance across multiple evaluation criteria, including sensitivity, F1-score, G-mean, and Matthews Correlation Coefficient, ensuring a comprehensive assessment of predictive effectiveness. All simulations and evaluations were conducted using Python software, leveraging frameworks such as TensorFlow, Keras, Scikit-learn, Pandas, and NumPy to ensure efficient implementation. …”
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A user-friendly NoSQL framework for managing agricultural field trial data by Steven H. Wu, Tristan A. Mueller

“…DynamoField is implemented in Python, and it is publicly available at https://github.com/ComputationalAgronomy/DynamoField .…”
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From Vision to Voice: A Multi-Modal Assistive Framework for the Physically Impaired by Suhas Bhat, Prajwal Bhat, Sucheta V. Kolekar

“…The application uses Python to develop its interface with Tkinter libraries and implements Tesseract OCR for optical character recognition that receives images through real-time capture enabled by OpenCV. …”
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Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

“…These results demonstrate the effectiveness of combining ML and transfer learning techniques for accurate brain tumor classification, addressing limitations of prior approaches and offering improved diagnostic reliability. All coding and model implementations were conducted on the Python platform.…”
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Balancing the Parameters of Perforated Solar Screens to Optimize Daylight and Glare Performance in Office Buildings by Aya M.F. El-Bahrawy

“…Genetic algorithms and the Python component in Grasshopper were utilized to identify the optimal balanced solutions. …”
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AetherGeo: A Spectral Analysis Interface for Geologic Mapping by Gonçalo Santos, Joana Cardoso-Fernandes, Ana C. Teodoro

“…AetherGeo is a standalone piece of software (current version 1.0) that aims to enable the user to analyze raster data, with a special focus on processing multi- and hyperspectral images. Being developed in Python 3.12.4, this application is a free, open-source alternative for spectral analysis, something considered beneficial for researchers, allowing for a flexible approach to start working on the topic without acquiring proprietary software licenses. …”
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Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet! by Volkan Çamkıran, Hüseyin Tunç, Batool Achmar, Tuğçe Simay Ürker, İlhan Kutlu, Akin Torun

“…The statistical analysis was conducted using chi-square and Fisher exact tests using scikit-learn library in Python 3.8. Results Cardiologists demonstrated superior accuracy (92.52%) compared to ChatGPT-based models (GPT-ECGReader: 57.94%, GPT-ECGInterpreter: 62.62%, GPT-ECGAnalyzer: 62.62%). …”
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A secure framework for the Internet of Things anomalies using machine learning by Vijay Prakash, Olukayode Odedina, Ajay Kumar, Lalit Garg, Seema Bawa

“…Experimental results demonstrate superior detection accuracy across all methods, validating the robustness of the proposed approach. …”
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Optimization method of investment package based on Markowitz portfolio theory by A. D. Baydalin

“…The model is built using the Python programming language and the necessary libraries. …”
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HISTORECO: Historical Spanish transition database on climate, geography and economics of the 20th-21st century by Guillermo Rodríguez-López, Ana Serrano, Miguel Martín-Retortillo, Ignacio Cazcarro

“…To avoid these problems, we present a database containing 45 geographic, climatic, hydrological and demo-economic variables (64 columns) that covers the 20th and 21st centuries for all municipalities in Spain. To achieve this, we merged seventeen databases/sources, using several methods, software and programming languages (QGIS, R, Python) to homogenize and downscale the variables for Spanish municipalities. …”
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Extraction of Solar Panel Image Texture Feature Using GLCM Method for Damage Analysis on Solar Panel Surface Images by Wiliani Ninuk, Khawa Titik, Ramli Suzaimah

“…This method utilizes Python software and a dataset of solar panel surface photos to accurately distinguish between damaged and undamaged surfaces. …”
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