Forecasting Hospitalization for Adult Asthma Patients in Emergency Departments Based on Multiple Environmental and Clinical Factors by Xi H, Zhang Y, Li W, Zhang C, Sun Y, Ji H, He Z, Chang C

“…Predictive models were constructed using the extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), support vector machine (SVM), logistic regression (LR), and random forest (RF). …”
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Influencia de la microestructura en el inicio de una grieta de fatiga. // Microstructure influence in the beginning of fatigue cracks. by A. Garrido, C. Figueroa, U. Ordóñez, C Diez, G. Fernández

“…</p><p>___________________________________________________________________________</p><p>Abstract.<br />The present work shows the obtaining of a model that allows determining the number of cycles until the beginning of a<br />crack, being used a group of expressions that predict the fatigue of mechanical elements and in fracture mechanics.…”
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Learning Class-Aware Local Representations for Few-Shot Remote Sensing Scene Classification by Liu Wang, Li Zhuo, Hui Zhang, Jiafeng Li

“…A novel consistency loss is further proposed as the objective function of LRSL to supervise the model training. Different from the existing image-level feature vector-based self-supervised learning tasks, the proposed LRSL forces the model to capture the structure information of local representations. …”
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Theoretical and applied problems of interaction between the international and national legal systems by O. A. Kiseleva

“…In such conditions, it is most important to choose the right vector in improving international law, and not order, law based on normative principles. …”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…The study used classification models generated using Waikato Environment for Knowledge Analysis (WEKA). …”
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A method to measure the azimuth of a laser-tracking cooperative target by changing inner laser's direction by Qifan Qiu, Zhi Cheng, Doudou Gao, Yang Li, Dengfeng Dong, Chengjun Cui, Yixuan Han

“…It then analyzes the mathematical relationship between the laser beam vector, the cube-corner prism with incision, the scanning mirror, the photodetector, and the cooperative target, and establishes the attitude solution model with a cooperative target design. …”
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Application of machine learning algorithms in predicting pyrolytic analysis result by Thi Nhut Suong Le, A. V. Bondarev, L. I. Bondareva, A. S. Monakova, A. V. Barshin

“…To develop the prediction model, 5 different machine learning regression algorithms were applied and compared, including multiple linear regression, polynomial regression, support vector regression, decision tree, and random forest.Results. …”
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Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…The custom objective function’s output can be transformed to quantify the contribution of each variable to the target variable’s variability, providing deeper insights into the workings of black box models. The study concludes that relative humidity is redundant in predicting dengue infection, while meteorological factors exhibit more significant short-term impacts compared to long-term and immediate impacts. …”
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Automating the search for legal information in Arabic: A novel approach to document retrieval by K. S. Jafar, A. A. Mohammad, A. H. Issa, A. V. Panov

“…The Topic-to-Vector (Top2Vec) topic modeling algorithm for generating document embeddings based on semantic context is used to cluster Arabic legal texts into relevant topics. …”
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Techno-Economic Assessment of Hydrogen-Based Power-to-Power Systems: Operational Strategies and Feasibility Within Energy Communities by Lucia Pera, Marta Gandiglio, Paolo Marocco

“…Within this framework, hydrogen emerges as a promising energy storage vector, offering a viable solution to the flexibility challenges caused by the inherent variability of RESs. …”
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Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review by Arman Fathollahi

“…This review includes general pseudocode and schematic architectures of artificial intelligence and machine learning methods which are categorized into supervised, semi-supervised, unsupervised and reinforcement learning. It includes support vector machines, decision trees, artificial neural networks, extreme learning machines and probabilistic graphical models, as well as reinforcement strategies like dynamic programming, Monte Carlo methods, temporal difference learning and Deep Q-networks, etc. …”
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Digitization of accounting for small enterprises by V.V.

“…The purpose of the article is to establish the impact of digitalization as a global vector of accounting development on the work of small enterprises. …”
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STRUCTURAL SYNTHESIS OF NAVIGATION SUPPORT OF TRIAD INTEGRATED NAVIGATION SYSTEM ON THE BASIS OF INERTIAL AND SATELLITE TECHNOLOGIES by V. S. Maryukhnenko, V. V. Erokhin

“…The imitating statistical modeling of optimal filtering algorithm of the triad integrated system is carried out. …”
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Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques by Zahra Yaghoobloo, Giuseppina Pappalardo, Michele Mangiameli

“…Unlike previous studies that ignore cyclists’ visual perspectives in the context of real-world data, this work integrates objective GIS data with cyclists’ field of view-based modelling to identify high-risk areas and highlight the need for enhanced safety measures. …”
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BAAV mediated GJB2 gene transfer restores gap junction coupling in cochlear organotypic cultures from deaf Cx26Sox10Cre mice. by Giulia Crispino, Giovanni Di Pasquale, Pietro Scimemi, Laura Rodriguez, Fabian Galindo Ramirez, Romolo Daniele De Siati, Rosa Maria Santarelli, Edoardo Arslan, Mario Bortolozzi, John A Chiorini, Fabio Mammano

“…Transduction of these cultures with a bovine adeno associated virus vector restored connexin26 protein expression and rescued gap junction coupling. …”
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Simplified Calculation of the Inertia Moment of the Cross Section of the Console under Loading by E. E. Deryugin

“…Engineers and mechanics can use the results of the presented work in the calculations and modeling of deformation of rod structural elements.…”
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Design on a Hybrid Drive Feeding Mechanism of High-speed Industrial Sewing Machine by Zheng Ji, Qiu Weiming, Cui Lintao, Ke Xianglin, Yang Shu

“…What's more, the load on the tooth is analyzed during the feeding process, as well as the dynamic characteristics of the drive motors under the extreme working conditions by establishing the dynamic simulation model of the hybrid drive feeding mechanism. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…By integrating diverse machine learning models including decision trees, support vector machines, and neural networks through techniques such as bagging, boosting, blending, and stacking, our approach aims to enhance detection accuracy and robustness against evolving threats. …”
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Prediction of the daily spatial variation of stem water potential in cherry orchards using weather and Sentinel-2 data by Francisco Zambrano, Abel Herrera, Mauricio Olguín, Miro Miranda, Jesica Garrido, Andrea Miyasaka Almeida

“…The primary goal of this work is to predict the daily spatial variation of Ψs using machine learning models. …”
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Graph Neural Network Learning on the Pediatric Structural Connectome by Anand Srinivasan, Rajikha Raja, John O. Glass, Melissa M. Hudson, Noah D. Sabin, Kevin R. Krull, Wilburn E. Reddick

“…Methods: Two datasets comprising an adult BRIGHT dataset (N = 147 Hodgkin’s lymphoma survivors and N = 162 age similar controls) and a pediatric Human Connectome Project in Development (HCP-D) dataset (N = 135 healthy subjects) were utilized. Two GNN models (GCN simple and GCN residual), a deep neural network (multi-layer perceptron), and two standard machine learning models (random forest and support vector machine) were trained. …”
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