Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

“…Lastly, the PSO algorithm is employed to search the latent space for optimal IL structures with the highest predicted solubility. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…A multiple linear regression model was developed to estimate instantaneous fuel consumption (in L/100 km) using the gear predicted by the KNN algorithm and other relevant variables. …”
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Control Theory and Bayesian Networks for Black Spots Study by Leonardo Flores, Jorge Vargas, Alan Ayala, Jeremy Ramos, Edwin Salas

“…To measure the performance and recovery of an urban road network, it is necessary to identify and predict the locations on the network where they occur. …”
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Panel Method for 3D Inviscid Flow Simulation of Low-Pressure Compressor Rotors with Tip-Leakage Flow by Valentin Caries, Jérôme Boudet, Eric Lippinois

“…This paper presents a low-order three-dimensional approach for predicting the inviscid flow around low-pressure compressors. …”
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Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering by Yi Cui, Tao Lei, Guiting Chen, Yunjing Zhang, Gang Zhang, Xuying Hao

“…After that, utilizing the fuzzy sets technique, the background image is predicted reasonably according to the results of the saliency map and smoothed or non-smoothed images. …”
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Elucidating Parasitic Currents in Proton‐Exchange‐Membrane Electrolytic Cells via Physics‐Based and Data‐Driven Modeling by Violeta Karyofylli, K. Ashoke Raman, Linus Hammacher, Yannik Danner, Hans Kungl, André Karl, Eva Jodat, Rüdiger‐A. Eichel

“…ABSTRACT Proton‐exchange membrane (PEM) water electrolysis is pivotal for green hydrogen production, necessitating accurate predictive models to manage their non‐linearities and expedite commercial deployment. …”
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Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity by Mingzhao Wang, Yu Huang, Christian L. E. Franzke, Naiming Yuan, Zuntao Fu, Niklas Boers

“…Abstract Terrestrial heatwaves are prolonged hot weather events often resulting in widespread socioeconomic impacts. Predicting heatwaves remains challenging, partly due to limited understanding of the events’ spatial evolution and underlying mechanisms. …”
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Depth and Lineament Maps Derived from North Cameroon Gravity Data Computed by Artificial Neural Network by Marcelin Mouzong Pemi, Joseph Kamguia, Severin Nguiya, Eliezer Manguelle-Dicoum

“…In this work, Artificial Neural Networks (ANNs) are implemented using Levenberg-Marquardt algorithm (LMA) to construct a background density model for predicting gravity data across Northern Cameroon and its surroundings. …”
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MATHEMATICAL MODEL AND DELAY TIME OF REFLECTED SIGNAL IN SYNTHETIC APERTURE SONAR by S. R. Heister, T. T. Tran

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Risk assessment of oral leukoplakia by DNA content enhanced by machine learning models by Matheus Henrique Lopes Dominguete, Vera Cavalcanti de Araújo, Fernanda Viviane Mariano, Carmen Silvia Passos Lima, João Figueira Scarini, Paulo de Camargo Moraes, Victor Angelo Martins Montalli, Larissa Agatti, Zuraiza Mohamad Zaini, Luíza Hellmeister, Marcelo Sperandio

“…A 3-step algorithm using these two parameters to classify lesions into low risk and high risk resulted in 52% positive predictive value (PPV) and 93% negative predictive value (NPV). …”
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Classification of periodontitis stage and grade using natural language processing techniques. by Nazila Ameli, Tahereh Firoozi, Monica Gibson, Hollis Lai

“…Our proposed BERT model predicted the patients' stage and grade with 77% and 75% accuracy, respectively. …”
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Application of Neural Network Models for Analyzing the Impact of Flight Speed and Angle of Attack on Flow Parameter Non-Uniformity in a Turbofan Engine Inlet Duct by Adam Kozakiewicz, Maciej Adamczyk, Rafał Kieszek

“…The ANN was trained using the CFG algorithm, and the predictive accuracy was assessed through the determination coefficients computed by comparing ANN-based estimates with numerical simulation results. …”
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Implicit Is Not Enough: Explicitly Enforcing Anatomical Priors inside Landmark Localization Models by Simon Johannes Joham, Arnela Hadzic, Martin Urschler

“…Currently, Anatomical Landmark Localization (ALL) is mainly solved by deep-learning methods, which cannot guarantee robust ALL predictions; there may always be outlier predictions that are far from their ground truth locations due to out-of-distribution inputs. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

“…To address this issue, this paper proposes an approach that involves defining a range of hull forms with characteristic curves, predicting their performance using Deep Neural Networks (DNNs), and subsequently determining the optimal hull form based on these predictions. …”
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SPINE: SParse eIgengene NEtwork linking gene expression clusters in Dehalococcoides mccartyi to perturbations in experimental conditions. by Cresten B Mansfeldt, Benjamin A Logsdon, Garrett E Debs, Ruth E Richardson

“…Based on the model predictions, we discovered new response mechanisms for DMC, notably when the bacterium is exposed to solvent toxicity. …”
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Identification of a PANoptosis-related long noncoding rna risk signature for prognosis and immunology in colon adenocarcinoma by Yuekai Cui, Jie Mei, Shengsheng Zhao, Bingzi Zhu, Jianhua Lu, Hongzheng Li, Binglong Bai, Weijian Sun, Wenyu Jin, Xueqiong Zhu, Shangrui Rao, Yongdong Yi

“…Long noncoding RNAs (lncRNAs) play crucial roles in PCD. However, the predictive value of PANoptosis-related lncRNAs (PRlncRNAs) for colon adenocarcinoma (COAD) has not been established. …”
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Learning by precedents based on the analysis of the features properties by V. V. Krasnoproshin, V. G. Rodchanka

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Quick eVALUATION OF THE INTERVAL STABILITY OF THE LINEAR ASSIGNMENT problem SOLUTIONS by M. P. Revotjuk, M. K. Qaraleh, P. M. Batura

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IMPLEMENTATION The branch and bound method for solving The traveling salesman problem with sparse matrix by M. P. Revotjuk, M. K. Qaraleh, P. M. Batura

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Battle of Water Demand Forecasting: An Optimized Deep Learning Model by Mohammadali Geranmehr, Alemtsehay G. Seyoum, Mostapha Kalami Heris

“…Ensuring a steady supply of drinking water is crucial for communities, but predicting how much water will be needed is challenging because of uncertainties. …”
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