Using Live Spam Beater (LiSB) Framework for Spam Filtering during SMTP Transactions by Silvana Gómez-Meire, César Gabriel Márquez, Eliana Patricia Aray-Cappello, José R. Méndez

“…The presented framework is written in Python programming language, works as an MTA (Mail Transfer Agent) server that implements an SMTP (Simple Mail Transfer Protocol) reverse proxy and allows the use of plugins to easily incorporate new filtering techniques designed to operate proactively. …”
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Poincaré maps for detecting chaos in fractional-order systems with hidden attractors for its Kaplan-Yorke dimension optimization by Daniel Clemente-López, Esteban Tlelo-Cuautle, Luis-Gerardo de la Fraga, José de Jesús Rangel-Magdaleno, Jesus Manuel Munoz-Pacheco

“…These FO chaotic systems are solved applying the Grünwald-Letnikov method, and the Numba just-in-time (jit) compiler is used to improve the optimization process's time execution in Python programming language. The optimization results show that the proposed method efficiently optimizes FO chaotic systems with hidden attractors while saving execution time.…”
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Identifying Emerging Trends in Scientific Texts Using TF-IDF Algorithm: A Case Study of Medical Librarianship and Information Articles by Meisam Dastani, Afshin Mousavi chelak, Soraya Ziaei, Faeze Delghandi

“…The TF-IDF weighting algorithm has been applied to identify the most important keywords used in the articles. Python programming language has also been used to implement text mining algorithms. …”
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Analysis of Accuracy Metric of Machine Learning Algorithms in Predicting Heart Disease by Sajad Yousefi, Maryam Poornajaf

“…All the work is done in the Anaconda environment based on python programming language and Scikit-learn library. Results: The algorithms performance is compared to each other so that performance based on ROC curve and some criteria such as accuracy, precision, sensitivity and F1 score were evaluated for each model. …”
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Orientation of tree rows in alley cropping systems matters – The “ShadOT” modelling tool for tree growth and shading effects by Marco Donat, Jonas Geistert, Kathrin Grahmann, Sonoko D. Bellingrath-Kimura

“…. • The tool is written in Python programming language, uses only open-source software and requires a limited number of inputs. • Identification of spatial-temporal shading patterns of different alley cropping scenarios.…”
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METHOD OF CONSTRUCTION OF A NEUROREGULATOR MODEL WHEN OPTIMIZING THE CONTROL STRUCTURE OF A TECHNOLOGICAL CYCLE by V. S. Smorodin, V. A. Prokhorenko

“…The experimental environment, as well as the neural network models was implemented using the Python programming language with TensorFlow library.…”
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Assessing the Influence of Various Work Breakdown Structures on Project Completion Time by Babatunde Omoniyi Odedairo

“…The project duration was determined using the critical path method, which was implemented in the Python programming language. Based on WBS selection, differences were discovered in the definition of the project deliverables, network construction, and aggregation of work packages. …”
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A study on the efficiency of the estimation models of COVID-19 by Mohammed N. Alenezi, Fawaz S. Al-Anzi, Haneen Alabdulrazzaq, Ammar Alhusaini, Abdullah F. Al-Anzi

“…The proposed estimation model is simulated using the Python Programming language on the collected data. The simulation was performed with various basic reproduction numbers (between 5.2 and 3), the initial exposed population, and the incubation rate. …”
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A Machine Learning Model for detecting Covid-19 Misinformation in Swahili Language by Filbert Mlawa, Elizabeth Mkoba, Neema Mduma

“…The study used the qualitative research method because non-numerical data, i.e. text, were used. Python programming language was used for data analysis due to its powerful libraries such as pandas and numpy. …”
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Food Image Detection System and Calorie Content Estimation Using Yolo to Control Calorie Intake in the Body by Romadhon Fitroh, Rahutomo Faisal, Hariyono Joko, Sutrisno, Eko Sulistyo Meiyanto, Hamka Ibrahim Muhammad, Pramono Subuh

“…The research designs this system using the YOLO algorithm model to detect the type of food which is then developed using the Python programming language to estimate the calories of the detected food. …”
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Survey the proportion and antibiotic sensitivity of methicillin-resistant staphylococcus aureus among patients in Danang Oncology Hospital by Le Ngoc Uyen Thi, Le Ngoc Phu Thien, Le Hai Tan, Duong Nguyen Hoa Bao, Nguyen Gia Phuc, Nguyen Thanh Hoi, Giang Thi Kim Lien, Nguyen Pham Thanh Nhan, Nguyen Thi Thuy Duong

“…All study patient data was collected according to an established uniform form on Microsoft Excel spreadsheet software and processed by Python programming language. We found that 76.1% of patients infected with S. aureus during this time were MRSA. …”
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Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach by Dragiša Stanujkić, Darjan Karabašević, Gabrijela Popović, Edmundas Kazimieras Zavadskas, Muzafer Saračević, Predrag S. Stanimirović, Alptekin Ulutaş, Vasilios N. Katsikis, Ieva Meidute-Kavaliauskiene

“…For comparison, several analyses were performed using the Python programming language and its NumPy library. The comparison was also made on a real decision-making problem taken from the literature. …”
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RECOGNITION OF HUMAN ACTIVITY BY VIDEO DATA by Anna V. Pyataeva, Mikhail A. Merko, Vladislava A. Zhukovskaya, Alena A. Kazakevich

“…The software implementation of the model is made in the IDLE environment in the Python programming language. Experimental studies performed on a specialized UCF50 dataset containing 50 different types of human actions confirm the effectiveness of using the proposed approach to solve the problem. …”
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A ROS-Based Open Tool for Intelligent Robotics Education by José M. Cañas, Eduardo Perdices, Lía García-Pérez, Jesús Fernández-Conde

“…It uses Robot Operating System (ROS) middleware, the de facto standard in robot programming, the 3D Gazebo simulator and the Python programming language. For each exercise, a software template has been developed, performing all the auxiliary tasks such as the graphical interface, connection to the sensors and actuators, timing of the code, etc. …”
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Architecture Typology of Rural Plain Houses Based on Formal Features, Case Study: (Talesh, Iran) by Sousan Ghanbari, Mansour Yeganeh, Mansour Yeganeh, Mohammad Reza bemanian, Mohammad Reza bemanian

“…Mathematics is used in the Python programming language in data analysis. For this purpose, by selecting 150 samples of rural houses in the form of purposeful clusters and converting the created matrix from the dimensions and size of the plans to zero and one code, their similarity has been calculated. …”
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ADAPTATION OF LAMBDAMART MODEL TO SEMI-SUPERVISED LEARNING by Klym Yamkovyi

“…The proposed algorithm was implemented using Python programming language and LightGBM framework that already has supervised the implementation of LambdaMART. …”
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Learning the geometry of short‐circuit faults in power systems for real‐time fault detection and classification by Juan Pablo Naranjo Cuéllar, Gustavo Ramos López, Luis Felipe Giraldo Trujillo

“…The process was conducted in real time using the HIL402 system and a Raspberry Pi 3, and all programming done in the Python programming language. It was concluded that the tested types of faults can be accurately characterised using the eigenvalues and eigenvectors of the matrix that characterises an ellipse associated with each fault: eigenvalues can be used to determine the fault inception distance and eigenvectors can be used to determine the type of fault that occurred. …”
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Use of Machine Learning Models of the “Transformers” Type in the Construction of Services in a Gamified Web app by C Saavedra Escalante, D Alava Santana, F Moreira Moreira, R Moreira Pico

“…Regarding the evaluation phase of the selected models, the “Sentence Transformers” library of the Python programming language was used. In addition, a work environment analogous to the module present in the “Gamivity” system was built, in which the development platform “Google Colab” was used to test these models. …”
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Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment by Abebe Belay Adege, Hsin-Piao Lin, Getaneh Berie Tarekegn, Shiann-Shiun Jeng

“…The proposed system is evaluated in the classification and regression schemes using the python programming language. The results show that 99.15% of the localization accuracy is correctly classified. …”
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Developing and Testing an Algorithm to Identify Future Innovative Research Areas in Digitalization Conditions (using a Medical-sector example) by Irina Rudskaya, Ivan Ozhgikhin, Darya Kryzhko

“…During this research, a prognostic model was developed based on the hype cycle, which makes determining a list of possible areas for hardware development in the medical sector possible, presenting this list as a set of tokens that are decoded using mental analysis and automated through the Python programming language. The process of identifying future innovative research areas comprises the following stages: identifying the aggregator (hub) research results, parsing primary information, translating the analyzed information, forming a set of lexemes, forming an analytical dataframe, constructing regression models for the highlighted lexemes, forming and storing the resulting dataframe, and metathinking the highlighted lexemes. …”
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