Dynamic Energy Consumption Modeling for HVAC Systems in Electric Vehicles by Beatrice Pulvirenti, Giacomo Puccetti, Giovanni Semprini

“…The energy consumption of the HVAC system is evaluated from the model in these scenarios and compared. The methodology herein presented is general and easily extendable to other systems, proving to be a powerful method to compare the energy consumption of HVAC systems under unsteady conditions with a more standard approach based on steady considerations. …”
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Development of decay curve for paint pavement marking using machine learning and generalized estimation equation by Giovanni Andrea Dimauro, Salvatore Cafiso, Omid Ghaderi, Giuseppina Pappalardo

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Stability Analysis of a Mathematical Model for Infection Diseases with Stochastic Perturbations by Marina Bershadsky, Leonid Shaikhet

“…Using the general method of Lyapunov functional construction combined with the linear matrix inequality (LMI) approach, we derive sufficient conditions for the stability of the equilibria of the considered system. …”
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Modeling severe uncontrolled asthma: Transitioning away from health states by Tereza Lanitis, Asif H. Khan, Irina Proskorovsky, Ivan Houisse, Andreas Kuznik, Siddhesh Kamat, Conrado Franco-Villalobos, Florence Joulain

“…Background: Models developed to date to simulate long-term outcomes of asthma have been criticized for lacking granularity and ignoring disease heterogeneity. …”
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Willingness to Pay for Conditional Automated Driving among Segments of Potential Buyers in Europe by Frode Skjeret, Afsaneh Bjorvatn, Satu Innamaa, Esko Lehtonen, Fanny Malin, Sina Nordhoff, Tyron Louw

“…This study aims to investigate the willingness to pay for conditionally automated cars (CACs) among 8,084 respondents in seven European countries by segmenting potential buyers of CACs. …”
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Temperature effects on single cavitation bubble dynamics under the free field condition: Experimental and theoretical investigations on water by Hao Geng, Tairan Chen, Jiacheng Chen, Biao Huang, Guoyu Wang

“…This paper examines how water temperature affects the dynamics of a single cavitation bubble in free field conditions. Both experimental and theoretical approaches are employed to explore the bubble dynamics in water under different temperatures. …”
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Nonlinear Fractional Evolution Control Modeling via Power Non-Local Kernels: A Generalization of Caputo–Fabrizio, Atangana–Baleanu, and Hattaf Derivatives by F. Gassem, Mohammed Almalahi, Osman Osman, Blgys Muflh, Khaled Aldwoah, Alwaleed Kamel, Nidal Eljaneid

“…This paper presents a novel framework for modeling nonlinear fractional evolution control systems. …”
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Mathematical modeling as a method of forming cognitive universal learning actions and competences of students in the conditions of a holistic educational environment by Vladimir N. Aniskin, Diana K. Rakhmatullina

“…The possibilities of mathematical modeling are considered as an educational technology that makes it possible to increase the efficiency of obtaining, assimilation and application of new subject and methodological knowledge by students in conditions of mixed offline- and online-learning. …”
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Cross-dataset evaluation of deep learning models for crack classification in structural surfaces by Rashid Taha, Mokji Musa Mohd, Rasheed Mohammed

“…This study investigates how well deep learning models generalize for crack classification across varied datasets and identifies which models perform best under self-testing and cross-testing conditions. …”
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Conceptual foundations of the development of the tourist complex of the region in the conditions of the COVID-19 coronavirus pandemic by A. S. Amosov, M. K. Ashinova, A. R. Kumpilova

“…The purpose of this article is to study the current state and measures to stimulate the tourism industry in the context of the COVID-19 coronavirus pandemic and to develop a conceptual model for the development of the tourist complex in such conditions. …”
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Formation conditions of hydrocarbon systems in the Turkmen sector of the South Caspian basin by U. S. Serikova, M. A. Allanazarova

“…The conducted numerical modeling established the formation conditions of the key elements of hydrocarbon systems, including oil and gas mother strata, reservoirs, and seals. …”
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Ice sheet model simulations reveal that polythermal ice conditions existed across the northeastern USA during the Last Glacial Maximum by J. K. Cuzzone, A. Barth, K. Barker, M. Morlighem

“…In general, we show that a model using a finer spatial resolution compared to older models can simulate the polythermal conditions captured in the geologic data, with the model output being of potential utility for site selection in future geologic studies and for geomorphic interpretations of landscape evolution.…”
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The representational instability in the generalization of fear learning by Kenny Yu, Wolf Vanpaemel, Francis Tuerlinckx, Jonas Zaman

“…Surprisingly, this disjunction does not significantly impact fear generalization behavior. Although most participants demonstrated generalization aligned with perceptual rather than physical stimulus distances, incorporating perceptual memory data into perceptual distance calculations did not enhance model performance. …”
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Impact of Adverse Weather and Image Distortions on Vision-Based UAV Detection: A Performance Evaluation of Deep Learning Models by Adnan Munir, Abdul Jabbar Siddiqui, Saeed Anwar, Aiman El-Maleh, Ayaz H. Khan, Aqsa Rehman

“…The findings presented in this work highlight the advantages of considering adverse weather conditions during model training and underscore the significance of data enrichment for improving model generalization. …”
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Matrix Modeling of the Selection of Electric Generators for Home Use Based on the Analytical Hierarchical Process (AHP) Algorithm in War Conditions in Ukraine by Barbara Dybek, Igor Ilge, Serhiy Zaporozhtsev, Adam Koniuszy, Grzegorz Wałowski

“…The selected F3001 generator model is characterized by the highest value of the generalized weighting factor due to the impact of estimates based on economic and operational criteria. …”
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Wet carbonation of wollastonite with pH-modified solutions at ambient conditions: Insights from a geochemical modelFairdata Etsin by Prince Allah, Hoang Nguyen, Mirja Illikainen, Paivo Kinnunen, Priyadharshini Perumal

“…Here, the effect of significantly lower liquid-to-solid ratio (10) on wet carbonation of wollastonite at ambient conditions was investigated using experimental and modelling techniques. …”
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Energy Management Strategy for Fuel Cell Vehicles Based on Online Driving Condition Recognition Using Dual-Model Predictive Control by Fuxiang Li, Xiaolin Wang, Xucong Bao, Ziyu Wang, Ruixuan Li

“…Firstly, to improve the generalization capability and adaptability of the LSTM model and to enhance the accuracy of driving condition recognition, wavelet transform (WT) is introduced into both the offline training and online application of LSTM. …”
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RTF-SAW-YOLOv11: A Bolt Defect Detection Model for Power Transmission Lines Under Low-Light Conditions by Hao Zhang, Lin Gao, Yuxiang Gong, Huaguo Liu, Yongdan Zhu, Yu Yang

“…To address the performance degradation of transmission line bolt defect detection under low-light conditions, we propose a unified model named RTF-SAW-YOLOv11, which integrates image enhancement and object detection into a single end-to-end framework. …”
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Coordinative Two-Stage Superheated Steam Temperature Linkage Control Based on Multivariable Generalized Predictive Control Algorithm by Sheng TONG, Le LIU, Pengfei WANG

“…Especially with complicate coal quality or under volatile environment, the effect of superheated steam temperature control turns out to be very limited, which are based on traditional PID control and single variable generalized predictive control. In this paper, the models of superheated steam temperature system under three typical working conditions are established by virtue of recursive least square method, and then an optimization strategy of two-stage superheated steam temperature linkage control based on multivariable generalized predictive control (MGPC) is constructed. …”
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Machine Learning Prediction of CO₂ Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions by Qaiser Khan, Peyman Pourafshary, Fahimeh Hadavimoghaddam, Reza Khoramian

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