A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

“…Also, the accuracy, recall, precision, and F1-score metrics are utilized to evaluate the model. …”
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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

“…These weights are then used by the Technique for Order Preference by Similarity to Ideal solution (TOPSIS) technique, which is a component Multi Criteria Decision Making method (MCDM), to compute and rank the optimal stocks for investment. …”
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Aplicación del análisis de rango reescalado R/S para la predicción de genes en el genoma vegetal Rescaled range R/S analysis application for genes prediction in the plant genome by Martha Isabel Almanza Pinzón, Karina López López, Carlos Eduardo Téllez Villa

“…A statistical procedure based on the R/S analysis and the Hurst coefficient was developed in order to characterize and predict genes and their structural components (exones and intrones) in the whole eukaryotic genomes of Arabidopsis thaliana, Oriza sativa and Mus musculus. Python programming language algorithms were developed with the purpose of extract, screen and modeling more than 80% of the registered gene sequences for these genomes in the NCBI Gene Bank data base. …”
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Maximum entropy spectral analysis: an application to gravitational waves data analysis by Alessandro Martini, Stefano Schmidt, Gregory Ashton, Walter Del Pozzo

“…This is particularly manifest in the case of a small (O(5000)) number of data points, making Burg’s method most suitable to work in this regime. Since this is close to the typical length of analysed gravitational waves data, improving the estimate of the PSD in this regime leads to more reliable posterior profiles for the system under study. …”
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CANVAR: A Tool for Clinical Annotation of Variants Using ClinVar Databases by Lau K. Vestergaard, Joanna Lopacinska‐Jørgensen, Estrid V. Høgdall

“…Accurate variant classification is crucial for diagnosis and treatment decisions, and various tools and software such as the Ion Reporter Software and the Illumina Nirvana Software often used in a clinical setting utilize information from the ClinVar database/archive to aid in variant interpretation. …”
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Where Should a New Graduate Start? A Multi-Source Evaluation of the Banking Sector Business Analyst Signals in an Emerging Economy by Bünyamin Yasin Çakmak, Büşra Yiğit

“…Accordingly, this study aims to assess the business analyst profession and recommend key skills for new graduates. We begin by analyzing the business analyst job ads within the Turkish banking sector. …”
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An Audio Steganography to Protect data in Text, Images and Audio with Hybrid Encryption Techniques by Thuraka Srinivasa Padmaja, Srinivasa Padmaja thuraka

“…A revolutionary hybrid solution for audio steganography develops, combining Adaptive QIM and LSB. Python implementations are provided to demonstrate the use and effectiveness of these strategies in maintaining data integrity and secrecy. …”
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A Novel Hybrid Steganography Approach for Securing Text, Images, and Audio with Robust Encryption in Audio Steganography by srinivasa padmaja, Shaik Mahaboob Basha

“…A revolutionary hybrid solution for audio steganography develops, combining Adaptive QIM and LSB. Python implementations are provided to demonstrate the use and effectiveness of these strategies in maintaining data integrity and secrecy. …”
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A theoretical framework for agent-based modelling of infectious disease dynamics under misinformation and vaccine hesitancy by Dmytro Chumachenko

“…The methodology is based on a discrete-time SEIRDV structure extended with agent-level belief states, social influence mechanisms, and dynamic vaccination decisions. The model was implemented in Python and tested through a case study simulating a COVID-like outbreak in a synthetic population. …”
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INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY by IAPĂSCURTĂ, Victor, ȚURCANU, Dinu, SIMINIUC, Rodica

“…This paper describes an attempt at integrating the proprietary software application HN-Assistant with GPT-4o to empower final users to make better nutritional decisions. The application was built in R programming language using the Shiny package, and the interaction between HN-Assistant and GPT-4o is based on an API in Python.…”
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Numerical-analytical modeling of oil extraction from oil fields with a gas cap using horizontal wells with automatic history matching by D. V. Shevchenko, A. A. Salamatin, A. D. Yarullin, S. A. Usmanov, V. V. Saveliev, V. A. Sudakov, A. P. Roschektaev, E. V. Yudin, D. S. Vorobyov, V. V. Sorokina, A. A. Sveshnikova

“…The numerical scheme of the model was implemented as a computational library in the Python 3.6 programming language.The algorithm was tested on oil deposits with a gas cap in the South Yamal oil and gas region and showed good results in history matching and forecasting calculations. …”
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Resource learning aware algorithm for route prediction and resources allocation in elastic optical networks with network analytics by Akhtar Nawaz Khan, Hassan Yousif Ahmed, Medien Zeghid

“…Algorithm2 makes routing decision for dynamic traffic based on the maximum idle slots as well as minimum SABPM. …”
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A Core Ontology for Whole Life Costing in Construction Projects by Adam Yousfi, Érik Andrew Poirier, Daniel Forgues

“…Practical validation was conducted using SQWRL queries and Python scripts for cost computation. The solution enables structured data integration and can support decision-making throughout the building life cycle. …”
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A Multitarget Land Use Change Simulation Model Based on Cellular Automata and Its Application by Jun Yang, Fei Chen, Jianchao Xi, Peng Xie, Chuang Li

“…Based on the analysis of the existing land use change simulation model, combined with macroland use change driving factors and microlocal land use competition, and through the application of Python language integrated technical approaches such as CA, GIS, AHP, and Markov, a multitarget land use change simulation model based on cellular automata(CA) is established. …”
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Research on Intelligent Planning Method for Turning Machining Process Based on Knowledge Base by Yante Li, Tingting Zhou

“…Second, to overcome limitations like low openness and decision-making rigidity in traditional process planning, a hybrid reasoning mechanism was proposed: on the one hand, an instance and rule-based reasoning system ensures adaptability to parameter variations; on the other hand, Generative Adversarial Networks are introduced to transcend the completeness limitations of traditional knowledge reasoning, enabling the dynamic evolution of process knowledge. …”
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DETERMINATION OF THE BASIC PARAMETERS OF SENSOR DEVICES FOR THE IMPLEMENTATION OF PSYCHONEUROLOGICAL RESEARCH WITH THE INTRODUCTION OF MULTITOUCH TECHNOLOGY by Karina Selivanova, Oleg Avrunin, Nikita Kazimirov

“…A specialized software tool was developed, which was adapted for multi-touch screens that allow identifying functional disorders of the hand by registering the main physical parameters during testing. …”
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Comparing Intraoperative and Postoperative Complications of Shape-Memory Nitinol Staples for Arthrodesis Across the Midfoot and Hindfoot by Abhinav R. Balu BS, John M. Dalloul BS, MS, Peter C. Shen BA, Rachel Bergman MD, Shaun Chang MD, Armen Kelikian MD, Milap Patel DO, Anish R. Kadakia MD, Muhammad Y. Mutawakkil MD

“…Complications of interest were non-union requiring revision, infection, symptomatic hardware removal, and DVT occurrence. …”
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Regression for Astronomical Data with Realistic Distributions, Errors, and Nonlinearity by Tao Jing, Cheng Li

“…A GPU-compatible Python implementation of our methods, nicknamed “ raddest ,” will be made publicly available upon acceptance of this paper.…”
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Modelagem Computacional de uma Estrela: Uma Abordagem Teórica e Numérica by Gabriel W.C. Rocha

“…Por fim, simulações hidrodinâmicas bidimensionais são implementadas para estudar a instabilidade convectiva e o regime dinâmico induzido por perturbações térmicas. …”
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Enhancing Risk Prioritization in Healthcare Informatics: A Combined Vulnerability Scoring and Operational Framework Approach by Cecilio Jr GARCIANO

“…The application represents a scalable, research-driven innovation that supports operational resilience and decision-making in critical healthcare infrastructures. …”
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