Calibration verification for stochastic agent-based disease spread models. by Maya Horii, Aidan Gould, Zachary Yun, Jaideep Ray, Cosmin Safta, Tarek Zohdi

“…The first calibration method is a Bayesian inference approach using an empirically-constructed likelihood and Markov chain Monte Carlo (MCMC) sampling, while the second method is a likelihood-free approach using approximate Bayesian computation (ABC). Simulation-based calibration suggests that there are challenges with the empirical likelihood calculation used in the first calibration method in this context. …”
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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…To achieve high accuracy through recursive multi-step-ahead prediction using GP, large computational resources are required. However, the proposed method can handle a matrix with rows for the time of day and columns for the day of the week, which facilitates the production of a one-week-ahead predictive distribution through a single calculation. …”
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One-loop impact factors for heavy quarkonium production: S-wave case by Maxim A. Nefedov

“…Abstract With the aim to extend the study of inclusive heavy quarkonium production at forward rapidities with the resummation of high partonic center-of-momentum-energy logarithms beyond Leading Logarithmic Approximation (LLA), the explicit analytic results for one-loop corrections to the following impact factors had been obtained: γR → Q Q ¯ S 1 0 8 $$ Q\overline{Q}\ \left[{^1S}_0^{\left[8\right]}\right] $$ , gR → Q Q ¯ S 1 0 1 $$ Q\overline{Q}\ \left[{^1S}_0^{\left[1\right]}\right] $$ , gR → Q Q ¯ S 1 0 8 $$ Q\overline{Q}\ \left[{^1S}_0^{\left[8\right]}\right] $$ and gR → Q Q ¯ S 3 1 8 $$ Q\overline{Q}\ \left[{^3S}_1^{\left[8\right]}\right] $$ , with R being the Reggeized gluon and Q is the heavy quark. The computation is done in the framework of Lipatov’s gauge-invariant EFT for Multi-Regge processes in QCD with the tilted-Wilson-line regularisation for rapidity divergences. …”
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Potential Use of Euphorbia hirta for Dengue: A Systematic Review of Scientific Evidence by Sashini D. Perera, Uthpala A. Jayawardena, Chanika D. Jayasinghe

“…Eight full papers were entitled to the review; out of those, two studies focused on ethnobotanical surveys, three on animal experiments, one on human trial, and two on in vitro antiviral activities, and one was computational study. The available evidence conclusively demonstrates the potential of E. hirta against dengue as it holds significant antiviral and platelet increasing activities. …”
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Fault detection in beam structure using adaptive immune based approach by Sasmita Sahu, Shakti P. Jena

“…Recently with the application of machine learning approaches and the soft computing, the damage can be detected easily. In this methodology, Clonal Section Algorithm (CSA) has been applied to find out the faults (crack locations and depth) in the structure initially. …”
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Validation of histopathology foundation models through whole slide image retrieval by Saghir Alfasly, Ghazal Alabtah, Sobhan Hemati, Krishna Rani Kalari, Joaquin J. Garcia, H. R. Tizhoosh

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Automatic brake Driver Assistance System based on deep learning and fuzzy logic. by A R García-Escalante, R Q Fuentes-Aguilar, A Palma-Zubia, E Morales-Vargas

“…While indoor experiments are prevalent due to computational demands and safety concerns, there is a pressing need for research and development of new features to achieve complete automation, addressing real-world implementation challenges by testing them in outdoor environments. …”
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A Secure Object Detection Technique for Intelligent Transportation Systems by Jueal Mia, M. Hadi Amini

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Spelling correction with large language models to reduce measurement error in open-ended survey responses by Maxwell B. Allamong, Jongwoo Jeong, Paul M. Kellstedt

“…Open-ended survey questions have a long history in public opinion research and are seeing a renewed interest as computing power and tools of text analysis proliferate. …”
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Authenticated encryption mode with blocks skipping by A. V. Sokolov, D. A. Isakov

“…As proposed in this paper, the mode of authenticated encryption with blocks skipping can be recommended for use on mobile platforms that are demanding both in terms of the quality and reliability of the protected information and are limited in terms of computing and power resources.…”
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Impact of Vein Wall Hyperelasticity and Blood Flow Turbulence on Hemodynamic Parameters in the Inferior Vena Cava with a Filter by Jafar Moradicheghamahi, Debkalpa Goswami

“…Using fluid–structure interaction (FSI) and computational fluid dynamics (CFD) techniques, the investigation focuses on three hemodynamic parameters: time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time (RRT). …”
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Enhanced ResNet-50 for garbage classification: Feature fusion and depth-separable convolutions. by Lingbo Li, Runpu Wang, Miaojie Zou, Fusen Guo, Yuheng Ren

“…Second, the standard 3×3 convolutions in ResNet-50 are replaced with depth-separable convolutions, significantly improving the model's computational efficiency while preserving the feature extraction capability of the original convolutional structure. …”
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FRICTION PRESSURE PREDICTION OF SUPERCRITICAL CO2 TURBULENT FLOW IN A CONCENTRIC ANNULUS by Md. Uddin, Md. Nahid Hossan, Mim Mashrur Ahmed, Raihan Karal

“…This study uses a numerical approach to examine the visual axial pressure gradient and friction factor characteristics of supercritical CO2 turbulent flow in a concentric annulus. The Computational Fluid Dynamics (CFD) software package (FLUENT) was applied for the investigation. …”
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Numerical Simulation of Helicopter Rotor Performance Degradation in Natural Rain Encounter by Guozhi Li, Yihua Cao

“…Firstly, we develop a computational fluid dynamics- (CFD-) based method of simulation of the blade airfoil under natural rain scenario and different angles of attack in order to obtain a data-driven basis relating to multiple working conditions of the rotating blades for further analysis. …”
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Research on Gas Exploration Shock Wave Spread Law via One-Way Bifurcation Pipeline by Zhi-wei Jia, Bo Li, Sheng-ming Xu

“…By adopting the comparative analysis of experiments and numerical modeling, it conducted researches on the attenuation and shunt characteristics of the gas exploration shock wave via the one-way bifurcation pipeline and obtained the computational formulas for shock wave attenuation coefficients of branch pipelines and straight pipelines and shock wave shunt coefficients of branch pipelines. …”
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Fatigue growth rate of inclined surface cracks in aluminum and titanium alloys by R.R. Yarullin, M.M. Yakovlev

“…The benefits of using the computational and experimental results of SCT specimen for the assessment of the surface crack growth rate in aluminum and titanium alloys under Mixed-mode loading conditions were stated.…”
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Method for Determining the Model Order for Model Order Reduction of the Linear Parameter Varying Heat Conduction Model using the Monte Carlo Method by Akiyasu MIYAMOTO

“…To facilitate the early adoption of digital twin technology, it is crucial to reduce the development time of models that can simulate with low computational cost and high accuracy. However, verifying the accuracy of these models can be time-consuming due to the significant variations in boundary conditions caused by changes in environmental conditions, design requirements, and specifications of products. …”
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Prediction of Compressive Strength of Geopolymer Concrete Based on Support Vector Machine and Modified Cuckoo Algorithm by Daming Zhang, Fangjin Sun, Tiantian Liu

“…An orthogonal factor is introduced to modify the traditional cuckoo algorithm to update new species and accelerate computation convergence. Then, the modified cuckoo algorithm is employed to optimize the parameters in the support vector machine model. …”
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Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China by Le Sun, Congmou Zhu

“…Therefore, it is recommended to increase the construction of rural digital infrastructure, improve the digitalization of inclusive finance with the help of digital technologies such as cloud computing, and expand the breadth and depth of digital inclusive finance services in rural areas, especially in economically underdeveloped provinces and cities, to effectively promote the comprehensive and high-quality development of rural areas.…”
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ASM-Based Objectionable Image Detection in Social Network Services by Sung-Il Joo, Seok-Woo Jang, Seung-Wan Han, Gye-Young Kim

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