Modeling Compressive Strength of Self-Compacting Concrete (SCC) Using Novel Optimization Algorithm of AOA by Francisca Blanco, Ye Woo

“…Accurately assessing construction aggregates' compressive strength (CS) ensures structural safety. Soft computing methods, which offer a cost-effective and highly accurate alternative to experimental techniques, have attracted interest in modeling dependent variables. …”
Get full text

Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

“…Due to the development of computing technology and different machine learning models, big data sets have gained importance in animal science as well as in many disciplines. …”
Get full text

A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities by Habib ur Rehman, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

“…Numerical findings are presented to showcase the algorithm’s effectiveness, highlighting its computational efficiency and practical relevance. A notable conclusion is that using double inertial extrapolation steps, as opposed to the single step commonly seen in the literature, provides substantial advantages for variational inequalities.…”
Get full text

Research progress in ultra-high temperature thermal resistance coatings by LIU Dongrui, TANG Xing, XIAO Jie, GUO Qian, HE Wenting, GUO Hongbo

“…Finally， future trends and breakthrough directions in the development of novel radiation-suppressing coatings， particularly in terms of material and structural design as well as the use of high-performance computational tools， are highlighted.…”
Get full text

Numerical Validation of Long-Term Behaviour of Reinforced Recycled Aggregate Concrete Beam by Abdulmajed Dalia Alaa Aldeen, Daud Sultan Ahmed, Alrshoudi Fahed

“…This research presents an advanced computational framework for predicting long-term deflection, crack width, and creep recovery in reinforced concrete beams incorporating recycled aggregate. …”
Get full text

Trajectory Optimization of CAVs in Freeway Work Zone considering Car-Following Behaviors Using Online Multiagent Reinforcement Learning by Tong Zhu, Xiaohu Li, Wei Fan, Changshuai Wang, Haoxue Liu, Runqing Zhao

“…The simulation results show that MARL is effective for online computation with in-timing response. More importantly, comparisons of the results obtained in various scenarios demonstrate that the proposed system obtained smoother vehicle trajectories in all controlled sections, rather than only in the merging area, indicating that it can achieve better traffic conditions in freeway work zone areas.…”
Get full text

Passive and active suppression of transduced noise in silicon spin qubits by Jaemin Park, Hyeongyu Jang, Hanseo Sohn, Jonginn Yun, Younguk Song, Byungwoo Kang, Lucas E. A. Stehouwer, Davide Degli Esposti, Giordano Scappucci, Dohun Kim

“…Abstract Addressing and mitigating decoherence sources plays an essential role in the development of a scalable quantum computing system, which requires low gate errors to be consistently maintained throughout the circuit execution. …”
Get full text

Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria by Yang Zhou, Junpeng Zhao, Junping Wen, Ziyan Wu, Yongzhen Dong, Yiping Chen

“…A lightweight unsupervised learning hologram processing algorithm considerably reduces training time and computing hardware requirements, without requiring datasets with manual labels. …”
Get full text

Semi-analytical approach for solving the mathematical model of solid-phase diffusion in electrodes: An application of modified differential transform method by Shivaranjini S, Neetu Srivastava

“…The results reveal that the proposed methods can analyze presented solid-phase diffusion problems by reducing computational domain size and require fewer iterations to obtain closed-form solutions. …”
Get full text

Analysis of Heat Transfer Performance Impact for Passive Containment Air-Cooling System Radiation Plates by Hongliang Wang, Yu Feng, Mingrui Yu, Yong Guo, Wei Li, Qiang Guo, Yidan Yuan

“…ANSYS Fluent was employed to investigate how the placement and quantity of radiation plates influence the heat transfer efficiency of PAS. The computational results indicate that radiation plates can substantially enhance the thermal performance of PAS. …”
Get full text

Modulation effects of folic acid and vitamin D on the relationships between prenatal cumulative phthalate exposure and preschoolers’ emotional and behavioral problems by Li-wen Chen, Xin Chen, Chen Han, Bei-bei Zhu, Yi-fan Wang, Yuan Liu, Min-min Jiang, Ya-fei Wang, Chun-han Shan, Hua-yan Mo, Kun Huang, Hui Gao, Fang-biao Tao

“…A latent category growth model was used to model the scores of each subscale of the SDQ. Quantile g-computation and Bayesian kernel machine regression were applied to analyze the effect of prenatal cumulative phthalate exposure. …”
Get full text

Nanomechanical Characterization of Canine Femur Bone for Strain Rate Sensitivity in the Quasistatic Range under Dry versus Wet Conditions by Kun-Lin Lee, Marta Baldassarri, Nikhil Gupta, Dinesh Pinisetty, Malvin N. Janal, Nick Tovar, Paulo G. Coelho

“…Therefore, for a quasistatic test with peak load of 2000 μN held for 30 s, it is recommended to nanoindent under wet conditions at a loading/unloading rate of 100–1000 μN/s, so the reduced creep effect allows for a more accurate computation of mechanical properties.…”
Get full text

Simulation of Transient Temperature and Clearance after Shutdown of Aeroengine Based on CFD and FEA Coupled Models by Xuanming Ge, Yan Gao, Wei Gu, Dongyu Sui, Lingling Yue

“…A simulation strategy, utilizing computational fluid dynamics (CFD) and finite element analysis (FEA) coupled models, is suggested to investigate the transient temperature and clearance after shutdown. …”
Get full text

Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction by Opal Issan, Pete Riley, Enrico Camporeale, Boris Kramer

“…Abstract The ambient solar wind plays a significant role in propagating interplanetary coronal mass ejections and is an important driver of space weather geomagnetic storms. A computationally efficient and widely used method to predict the ambient solar wind radial velocity near Earth involves coupling three models: Potential Field Source Surface, Wang‐Sheeley‐Arge (WSA), and Heliospheric Upwind eXtrapolation. …”
Get full text

A Hybrid FEM-CNN for Image-Based Severity Prediction of Corroded Offshore Pipelines by Mohammad Fadzil Najwa, Muda Mohd Fakri, Abdul Shahid Muhammad Daniel, Aziz Norheliena, Mohd Mohd Hairil, Mohd Amin Norliyati, Mohd Hashim Mohd Hisbany

“…The advantage of the standard FEM is in stress visualization, but it is time-consuming due to high computational analysis. This research aims to quickly and accurately determine the severity of pipeline corrosion categorized as high, intermediate, or low through stress images generated from FEM. …”
Get full text

Automating band selection for hyperspectral indices: bridging AVIRIS-NG and Sentinel-2 satellite data for earth science applications by Veerendra Satya Sylesh Peddinti, Venkata Ravibabu Mandla, Shashi Mesapam, Suresh Kancharla

“…This study presents an automated methodology to optimize the selection of AVIRIS spectral bands, improving the computation of indices critical to Earth science applications. …”
Get full text

A model of activity-dependent changes in dendritic spine density and spine structure by S. M. Crook, M. Dur-e-Ahmad, S. M. Baer

“…The model is based on the standard dimensionlesscable equation, which represents the change in the membrane potential in a passive dendrite.Additional equations characterize the change in spine density along the dendrite, the current balance equation for an individual spine head, the change in calcium concentration in the spine head, and the dynamics of spine stem resistance. We use computational studies to investigate the changes in spine density and structure for differing synaptic inputs and demonstrate the effects of these changes on the input-output properties of the dendritic branch. …”
Get full text

Applications of the neuro-evolutionary approach to the parabolic type partial differential equations by Waseem, Asad Ullah, Emad A.A. Ismail, Fuad A. Awwad

“…The state variables are plotted for a single hidden layer to reduce the computational cost. For the overall performance of CS-ASA, the fitness function is plotted against the number of iterations. …”
Get full text

Multi-Objective Operation Optimization of Park Microgrid Based on Green Power Trading Price Prediction in China by Xiqin Li, Zhiyuan Zhang, Yang Jiang, Xinyu Yang, Yuyuan Zhang, Wei Li, Baosong Wang

“…The Levy-based improved bird-flocking algorithm was utilized to address the multi-faceted problem. Through rigorous computational analysis and simulation of the park’s operational processes, the results demonstrate the potential to optimize user power consumption structures, reduce power purchase costs, and promote the green and low-carbon transformation of the park.…”
Get full text

Experimental and numerical investigations of cavity flame spread in double skin façade by Xukun Sun, Hideki Yoshioka, Takafumi Noguchi, Yuhei Nishio, Biao Zhou

“…The experiments employ HRRs of 600–900 kW and cavity depths of 0.4 and 0.8 m, highlighting that flame attachment to the facing wall is dependent on HRRs rather than cavity depths. Subsequently, Computational Fluid Dynamics (CFD) is utilized to investigate DSF fires, with validation against experimental temperature distribution and flame morphology. …”
Get full text