Mobile robot with failure inspection system for ferromagnetic structures using magnetic memory method by N. J. Montes de Oca-Mora, R. M. Woo-Garcia, R. Juarez-Aguirre, A. L. Herrera-May, A. Sanchez-Vidal, C. A. Ceron-Alvarez, J. Restrepo, I. Algredo-Badillo, F. Lopez-Huerta

“…Magnetic-field reading tests have been carried out on control ASTM A-27 ferromagnetic plates, obtaining experimental response in the 3 axes of the magnetic domains, which is very close to the expected results by the magnetic-flux density model that is calculated from the fields E and B derived from the equations of a Hertz dipole, and developed in the high-level Python programming language. The prototype proposed for NDT can detect geometric defects in the range of millimeters, producing changes in the density of the magnetic field in the order of thousands of µT.…”
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Stacking ensemble approach to diagnosing the disease of diabetes by Alfredo Daza, Carlos Fidel Ponce Sánchez, Gonzalo Apaza-Perez, Juan Pinto, Karoline Zavaleta Ramos

“…The data was then pre-processed using the Python programming language. To balance the data, it was divided into 4 values and an oversampling method was applied to distribute the data proportionally. …”
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ALGORITHMS OF FINDING OUT OBJECTS AND ESTIMATION OF PARAMETERS OF THEIR MOTION ARE IN SYSTEMS OF TECHNICAL SIGHT by Константин Юрьевич Дергачев, Леонид Александрович Краснов, Евгений Валентинович Пявка

“…These designs are oriented to use the single-board computers Raspberry Pi and the Python programming language combined with OpenCV image processing library. …”
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Developing a weather prediction project-based machine learning course in facilitating AI learning among high school students by Wen-Yen Lu, Szu-Chun Fan

“…Furthermore, data collection and status display were realized using various hardware devices such as Arduino and sensors, whereas ML algorithms were implemented in Python programming language. A total of 68 eleventh-grade senior high school students from a public school in Southern Taiwan participated in this study. …”
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Potential Cooling Energy Savings of Economizer Control and Artificial-Neural-Network-Based Air-Handling Unit Discharge Air Temperature Control for Commercial Building by Yeobeom Yoon, Byeongmo Seo, Soolyeon Cho

“…To develop the ANN prediction model, the EnergyPlus program is used for simulation modeling, and the Python programming language is employed for model development. …”
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Automated image analysis as a tool to measure individualised growth and population structure in Chinook salmon (Oncorhynchus tshawytscha) by Nicholas P. L. Tuckey, David T. Ashton, Jiakai Li, Harris T. Lin, Seumas P. Walker, Jane E. Symonds, Maren Wellenreuther

“…In this study, we compare manual measurements of phenotypic traits of Chinook salmon (Oncorhynchus tshawytscha) with digital images and an automated software analysis pipeline written in the Python® programming language using the OpenCV machine vision library. …”
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THE APPROACH AND THE SOFTWARE TOOL TO CALCULATE SEMANTIC QUALITY MEASURES OF BUSINESS PROCESS MODELS by Andrii Kopp, Dmytro Orlovskyi

“…The software tool is created using the Python programming language because of its powerful natural language processing packages.…”
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Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study by Junwei Pu, Xiaoqing Zhao, Pinliang Dong, Qian Wang, Qifa Yue

“…In this study, three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) were used for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT). …”
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Deep-Sentiment: An Effective Deep Sentiment Analysis Using a Decision-Based Recurrent Neural Network (D-RNN) by Putta Durga, Deepthi Godavarthi

“…The proposed approach addresses various challenges in analyzing the sentiment analysis. Python programming language with several libraries such as Keras, Pandas, and others extracts the sentiments from given datasets. …”
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Sentiment Analysis of Public Acceptance of Covid-19 Vaccines Types in Indonesia using Naïve Bayes, Support Vector Machine, and Long Short-Term Memory (LSTM) by Dinar Ajeng Kristiyanti, Sri Hardani

“…After that, model testing was carried out using Cross Validation with the Python programming language, and evaluation and validation of the test results using the Confusion Matrix. …”
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Opinion Mining from Online Travel Reviews: An Exploratory Investigation on Pakistan Major Online Travel Services Using Natural Language Processing by Bushra Kanwal, Saif Ur Rehman, Azhar Imran, Rana Saud Shaukat, Jianqiang Li, Abdulkareem Alzahrani, Ans D. Alghamdi, Fawaz Khaled Alarfaj

“…Online millions of reviews, got from two significant web-based travel organizations (Uber, and Careem) in Pakistan, and a semantic affiliation examination was utilized to extract thematic words and construct a semantic affiliation organization. In the Python programming language, we use natural language processing (NLP), which includes data cleansing and tokenization. …”
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PERANCANGAN METODE MACHINE LEARNING BERBASIS WEB UNTUK PREDIKSI SIFAT MEKANIK ALUMINIUM by Desmarita Leni, Yuda Perdana Kusuma, Muchlisinalahuddin Muchlisinalahuddin, Femi Earnerstly, Riza Muharni, Ruzita Sumiati

“…The modeling machine learning is designed using the Python programming language and additional libraries such as Pandas, Numpy, Scikit-learn, and Streamlit. …”
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Using Deep Learning Methods for Image Generation by Violeta Tretynyk, Evgeny Budzinskyi

“…The program implementation of the model was performed in the Python programming language.…”
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The Study of Mathematical Models and Algorithms for Face Recognition in Images Using Python in Proctoring System by Ardak Nurpeisova, Anargul Shaushenova, Zhazira Mutalova, Zhandos Zulpykhar, Maral Ongarbayeva, Shakizada Niyazbekova, Alexander Semenov, Leila Maisigova

“…To implement the task of determining a person’s face in a video stream, the Python programming language was used with the OpenCV code. Mathematical models of face recognition are also described. …”
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A Python-Based Pipeline for Preprocessing LC–MS Data for Untargeted Metabolomics Workflows by Gabriel Riquelme, Nicolás Zabalegui, Pablo Marchi, Christina M. Jones, María Eugenia Monge

“…The present work introduces TidyMS, a package for the Python programming language for preprocessing LC–MS data for quality control (QC) procedures in untargeted metabolomics workflows. …”
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DEVELOPMENT AND COMPARATIVE ANALYSIS OF SEMI-SUPERVISED LEARNING ALGORITHMS ON A SMALL AMOUNT OF LABELED DATA by Klym Yamkovyi

“…The methods have been implemented using Python programming language and experimentally investigated for solving classification problems using datasets with different distribution and spatial characteristics. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…The automatic markup program employed the Python programming language, the Keras machine learning library, and the TensorFlow framework. …”
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Labeling of Baropodometric Analysis Data Using Computer Vision Techniques in Classification of Foot Deformities by Siniša S. Babović, Mia Vujović, Nebojša P. Stilinović, Ostoja Jeftić, Aleksa D. Novaković

“…Measurements were determined by using a baropodometric platform, and the labelling process was carried out in the Python programming language, using functions from the OpenCV library. …”
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Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior. by Kyle Moy, Weiyu Li, Huu Phuoc Tran, Valerie Simonis, Evan Story, Christopher Brandon, Jacob Furst, Daniela Raicu, Hongkyun Kim

“…Here, we describe a robust single worm-tracking system, which is based on the open-source Python programming language, and an analysis system, which implements path-related algorithms. …”
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Predicting COVID-19 Cases on a Large Chest X-Ray Dataset Using Modified Pre-trained CNN Architectures by Karac Abdulkadir

“…Models are built using Tensorflow and Keras Libraries with Python programming language. Preprocessing was performed on the dataset by applying resizing, normalization, and one hot encoding operation. …”
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