Machine-learning prediction models for any blood component transfusion in hospitalized dengue patients by Md. Shahid Ansari, Dinesh Jain, Sandeep Budhiraja

“…This study demonstrates the potential of multilayer algorithms to reasonably predict any blood component transfusion needs which may help healthcare providers make more informed decisions regarding patient care.…”
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Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device by Egas Jose Armando, Damien Hanyurwimfura, Omar Gatera, Kwang Soo Kim, Athanase Nduwumuremyi

“…Abstract Effective sensor denoising is crucial for accurate, real-time agricultural decision-support systems. This study explores the application of Unscented Kalman Filter (UKF) extensions on resource-constrained devices to improve sensor denoising and enhance the reliability of Internet of Things (IoT) based agricultural soil monitoring. …”
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Diagnostics of retinal pathologies by optical coherence tomography images using artificial intelligence tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva

“…The main result of the research is the development of an algorithm, implemented on Python, for the diagnosis of retinal diseases from OCT images based on convolutional neural network AI tool. …”
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Development of a Model of Segmentation of the Capillaries of the Ocular Surface Based on Images from an Ophthalmological Slit Lamp Using Artificial Intelligence Tools by V. V. Neroev, A. A. Bragin, O. V. Zaytseva, E. V. Yani

“…Purpose: to develop a model of segmentation of the capillaries of the ocular surface based on images from an ophthalmic slit lamp using AI tools using Python.Materials and methods. The study used a dataset (700 eyes), which is publicly available on the Internet and includes photos from an ophthalmological slit lamp, marked up manually. …”
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Fast segment anything model applied in a low-cost camera-based system for oyster growth monitoring by Vinícius Batista, Vitorino Biazi, Andreia C. M. Rodrigues, Amadeu M. V. M. Soares, Carlos Marques

“…The fast segment anything model algorithm is implemented in the Python programming language to perform image segmentation and generate object masks for subsequent processing. …”
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Automated Detection and Counting of <i>Gossypium barbadense</i> Fruits in Peruvian Crops Using Convolutional Neural Networks by Juan Ballena-Ruiz, Juan Arcila-Diaz, Victor Tuesta-Monteza

“…The YOLO architecture emerged as an efficient and robust alternative for the automated detection of cotton fruits and stood out for its capability to process images in real time with high precision. Furthermore, its implementation in crop monitoring facilitates production estimation and decision-making in precision agriculture.…”
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Assessment of ecotourism suitability in Qilian mountain National park by Shan Huang, Danhua Sheng, Pengtao Wang, Jianhua Xiao, Qiushuang Li, Hanjun Liu

“…The Promethee method was used in the Python software, and the suitability ranking was obtained for eco-tourism activities in 1641 landscape units. …”
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Evaluating Urban Park Utility in Seoul: A Distance-to-Area Discounting Model by Gyoungju Lee, Youngeun Kang

“…The methodology was implemented using a Python-based v.3.12.9 geospatial workflow with network-based distance calculations between 18,614 census block groups and all urban parks in Seoul. …”
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Comprehensive flexible framework for using multi-machine learning methods to optimal dynamic transient stability prediction by considering prediction accuracy and time by Ali Abdalredha, Alireza Sobbouhi, Abolfazl Vahedi

“…Also, the proposed framework is coded with PYTHON software.…”
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Methodology for extracting narratives from social media big data by E. Yu. Petrov, A. Yu. Sarkisova, D. O. Dunaeva, A. S. Voronov, M. G. Myagkov

“…The results contribute to international research on public opinion and communication in crises and can serve as a basis for practical actions aimed at improving the quality of public communications and decision-making at all levels of government.…”
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Food and Beverage Menu Package Recommendation System Using Fp-Growth Algorithm by Aldi Nanda Pratama, Catur Eri Gunawan, Muhamad Son Muarie

“…The system was developed using Python and allows users to flexibly determine the minimum support and confidence values. …”
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Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG by H. Solieman, S. Sali

“…The introduction of an automated classification of arrhythmias based on deep learning could facilitate the decision-making process by saving time and labor resources.Aim. …”
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Machine learning analysis of the relationships between traumatic childbirth experience with positive and negative fertility motivations in Iran in a community-based sample by Mahdieh Arian, Talat Khadivzadeh, Mahla Shafeei, Sedigheh Abdollahpour

“…Abstract Background Psychologically traumatic childbirth leads to short and long-term negative impacts on a woman’s health and impacts future reproductive decisions. Considering the importance of fertility growth and strengthening positive fertility motivations in …, this community-based study was conducted to investigate the relationship between traumatic childbirth history and positive and negative fertility motivations. …”
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Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals by Agostino Marengo, Vito Santamato, Massimo Iacoviello

“…This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in public healthcare systems. …”
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Towards maritime transport decarbonization: Comparison of onboard carbon capture and storage to low carbon alternative fuels by Mohamed Ali Saafi, Michael Traver, Esam Hamad

“…With both regional authorities and corporate entities declaring net-zero greenhouse gas ambitions over the last decade, the assessment and development of potential solutions has accelerated. …”
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Farklı Sınıflandırma Algoritmaları ve Metin Temsil Yöntemlerinin Duygu Analizinde Performans Karşılaştırılması by Fatih Kayaalp, Batuhan Cem Öğe

“…Sosyal medya verilerinin analiz edilmesiyle insanların farklı konulardaki duygularına dair anlamlı çıkarımlarda bulunulması anlamına gelen ve temelde bir sınıflandırma işlemi olan Duygu Analizi çalışmaları son yıllarda öne çıkan çalışma alanlarından biridir. Bu çalışmada, Python programlama dili içindeki kütüphaneler kullanılarak Naive Bayes (NB), Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF) ve Artificial Neural Network (ANN) gibi 6 adet sınıflandırma algoritmasının Duygu Analizi kapsamında, performans karşılaştırması yapılmıştır. …”
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RESEARCH OF TRENDS IN DEMAND FOR STEM SKILLS IN THE ECONOMIC SECTOR by Wen Zhang

“…In today's economy, STEM skills (Science, Technology, Engineering, Mathematics) are becoming essential for data analysis, market modeling, and decision-making. Analyzing the demand for STEM skills is becoming relevant and critically important for understanding future employment, education, and economic development trends. …”
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Hardware and software complex for operational management of a flexible site of highly efficient assembly production by V. Smolij, N. Smolij, M. Shvydenko, S. Voloshyn

“…An initial schedule was drawn up and the decision rules were investigated, and a custom rule was proposed that prioritises details going to the most distant modules. …”
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A lexicon-based diachronic comparison of emotions and sentiments in literary translation: A case study of five Chinese versions of David Copperfield. by Yan Li, Muhammad Afzaal, Yixin Yin

“…In addition, we used python and R package to analyze the positive and negative words in five versions. …”
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DEVELOPING AND VALIDATING COMPREHENSIVE INDICATORS TO EVALUATE THE ECONOMIC EFFICIENCY OF HYDROGEN ENERGY INVESTMENTS by Galevskiy S. G., Haidong Qian

“…Finally, hydrogen energy projects need supportive policies and technology. Regulation and regional disparities persist. Technology can solve these problems and boost hydrogen energy sector growth and low-carbon futures. …”
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