Autonomous slip control inspired by human physiology for improved shared control strategy by Joana Matos, Patricia Capsi-Morales, Cristina Piazza

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Current-Voltage Modeling of Transistors Based on Two-Dimensional Molybdenum Disulfide by Adelcio M. de Souza, Daniel R. Celino, Regiane Ragi, Murilo A. Romero

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A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders by Shahid Tufail, Hasan Iqbal, Mohd Tariq, Arif I. Sarwat

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Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification by Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda-Carreras

“…We extend conventional evaluation tools with novel metrics—“accuracy difference” and “loss difference”—to detect overfitting or underfitting and evaluate their utility as potential indicators for learning behavior and promoting the self-confidence of ImageNet models. …”
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A Platform for Early Class Dropout Prediction of University Students by Guilherme Antonio Borges, Carolina Filipa Dos Santos Pedro, Julio Cesar Santos Dos Anjos, Andre Rodrigues, Fernando Boavida, Jorge Sa Silva

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Effective Boundary Correction for Deterministic Lateral Displacement Microchannels to Improve Cell Separation: A Numerical and Experimental Study by Shaghayegh Mirhosseini, Mohammadmahdi Eskandarisani, Aryanaz Faghih Nasiri, Fatemeh Khatami, Akram Mirzaei, Majid Badieirostami, Seyed Mohammad Kazem Aghamir, Mohammadreza Kolahdouz

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60-GHz Propagation Measurement and Modeling: Indoor and Outdoor With Extreme Winter Environments by Satzhan S. Askarov, Refik C. Kizilirmak, Behrouz Maham, Ikechi Augustine Ukaegbu

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Numerical Simulations of Scaling of the Chamber Dimensions of the Liquid Piston Compressor for Hydrogen Applications by Marina Konuhova, Valerijs Bezrukovs, Vladislavs Bezrukovs, Deniss Bezrukovs, Maksym Buryi, Nikita Gorbunovs, Anatoli I. Popov

“…The research examines the influence of compression chamber geometry, including variations in radius and height, on thermal behavior and energy efficiency. A computational model was developed using COMSOL Multiphysics^® 6.0, incorporating Computational Fluid Dynamics (CFD) and heat transfer modules to analyze thermodynamic processes. …”
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Prediction model and real-time diagnostics of hydraulic fracturing pressure for highly deviated wells in deep oil and gas reservoirs by Lingdong Meng, Xiaoling Zhang, Yejun Jin, Kun Yan, Ziyang Li, Hailong Fu, Song li

“…Based on the well trajectory, pumping process, and string structure of highly deviated wells, a movement interface model for the fracturing fluid at different stages within the wellbore has been established, using the method of computational fluid dynamics. This model analyzes the fluid movement behavior with diverse properties at various fracturing times and determines the relationship between the pressure changes at the leading and trailing edges of fluid movement in each section of the wellbore over time by combining different string structures and preset pumping procedures. …”
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Effects of Central Cut Width on the Dynamical Characteristics of Box Assembly Structure by Christopher Padilla, Antonio Flores, Ezekiel Granillo, Jonah Madrid, Abdessattar Abdelkefi

“…An investigation into the Box Assembly with Removable Component (BARC) structure is conducted by utilizing computational simulations and experimental structural testing in order to determine the complex dynamical responses instigated by the central cut of the system. …”
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Semi-Analytical Solutions for Time-Fractional Fisher Equations via New Iterative Method by Shivaji Ashok Tarate Tarate, A. P. Bhadane, S.B. Gaikwad, K.A. Kshirsagar

“…Researchers can now analyze the spread of diseases or study the population dynamics of species with higher accuracy and less computational effort. This advancement in solving fractional differential equations paves the way for deeper insights into the behavior and patterns of complex systems, ultimately advancing scientific understanding and offering new possibilities for practical applications. …”
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Rainfall‐Runoff Modeling in Rocky Headwater Catchments for the Prediction of Debris Flow Occurrence by Martino Bernard, Matteo Barbini, Matteo Berti, Mauro Boreggio, Alessandro Simoni, Carlo Gregoretti

“…Over a 15‐year period of observation, we collected a comprehensive data set on runoff and mass movement in these catchments, offering valuable insights into their hydrological behavior and the initiation of granular debris flows. …”
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Ubiquity of Rotational Symmetry Breaking in Superconducting Films, From Fe(Te,Se)/Bi2Te3 to Nb, and the Effect of Measurement Geometry by Debarghya Mallick, Hee Taek Yi, Xiaoyu Yuan, Seongshik Oh

“…This implies either that nematic behavior is ubiquitous or that the in‐plane magneto‐transport measurement scheme routinely used to detect nematicity, is not a reliable method to probe nematicity. …”
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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…The hybrid attention-based model consistently outperformed others across metrics while maintaining lower computational demands.…”
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Performance prediction method of multi-stage steam ejector system in high-altitude simulation test by Lide Chao, Hongjie Guo, Yong Xu, Yunqin He, Guozhu Liang

“…The nominal air mass flow rates of 0.60 and 0.34 kg/s simulated combustion products from NTO/MMH-fueled engines. Through a computational analysis of the results of the first test, we derived four key coefficients essential for characterizing the MSSES behavior under the critical operation modes. …”
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Water Hyacinth (Eichornia Crassipes) Cellulose and Mung Beans (Viga Radiata) Starch as Composite Plant Bag with Plasticizer Glycerol by Ronna Tataro- Samillano, Micka Mae Obis, Mark Oliva, Rheanne Osea

“…It was also significantly better than the pure starched-mixture having a t-computed value of t (2) = 3.52, 4.51, 2.90 and 0, p<.05 respectively. …”
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Evaluation of the Photostability of Ivermectin by Franklin Vargas, Miguel León, Beatriz Angulo, Álvaro Álvarez, Jhonatan González, Alexis Maldonado

“…Our findings contribute to an enhanced comprehension of IVM’s behavior under solar exposure, particularly in tropical contexts. …”
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Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes by Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, Katriina Aalto-Setälä

“…Calcium transient signals derived from induced pluripotent stem cell-derived cardiomyocytes were used for all computational analyses executed. Good classification results were generated with effective machine learning methods. …”
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Critical Wind Direction Angles and Edge Module Vulnerability in Fixed Double-Row Photovoltaic (PV) Arrays: Analysis of Extreme Wind Conditions Based on CFD Simulation by Yuheng Hu, Hongzhou Zhang, Zhenwei Luo, Yupeng Zhou, Guoshun Yuan

“…This study employs computational fluid dynamics (CFD) simulations to systematically analyze wind load behavior under varying operational conditions, aiming to identify critical scenarios and structural vulnerabilities. …”
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Electronic and magnetic properties of nearly spin-gapless semiconducting FeVTaAl and FeCrZrAl by Caden Sadler, Samuel Smith, Nhat Phat Nguyen, Brandon Schmidt, Parashu Kharel, Paul M. Shand, Pavel V. Lukashev

“…Here, we present results of a computational study of electronic, magnetic, and structural properties of FeVTaAl and FeCrZrAl, quaternary Heusler alloys that have been recently reported to exhibit spin-gapless semiconducting behavior. …”
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