Real-Time Optimization of Discrete Element Models for Studying Asphalt Mixture Compaction Characteristics at the Meso-Scale by Xue Wang, Zifang Wang, Xuanye Luo

“…Researchers have employed various technologies to study the compaction process. Among these, discrete element modeling (DEM) has been widely adopted due to its effectiveness in addressing particle-scale problems. …”
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Identification Method of Highway Accident Prone Sections Under Adverse Meteorological Conditions Based on Meteorological Responsiveness by Yanyang Gao, Chi Zhang, Maojie Ye, Bo Wang

“…Outlier sections were processed for preliminary screening, enabling the identification of high-risk segments. …”
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Advanced Phishing Detection: Leveraging t-SNE Feature Extraction and Machine Learning on a Comprehensive URL Dataset by Taha Etem, Mustafa Teke

“…The proposed method offers substantial benefits in terms of computational efficiency. The feature-extracted dataset requires less processing power; thus, it is well-suited for systems with limited resources. …”
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Feasibility of Nuclear fusion of _1^1H+_3^7Li in TCT reactor by B.M. Dyavappa

“…The fusion cross-section of nuclear reaction for the projectile beam of whose energy ranges from 1 keV to 1×104 keV in the centre-of-mass frame is computed with the aid of GEMINI++ statistical decay model. …”
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Weightage Identified Network of Keywords Technique: A Structured Approach in Identifying Keywords for Systematic Reviews by Sasidharan Sivakumar, Gowardhan Sivakumar

“…Methods The WINK methodology involves generating network visualization charts to analyze the interconnections among keywords within a specific domain. This process integrates both computational analysis and subject expert insights to enhance the accuracy and relevance of the findings. …”
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Contrast-Invariant Edge Detection: A Methodological Advance in Medical Image Analysis by Dang Li, Patrick Cheong-Iao Pang, Chi-Kin Lam

“…However, existing methods based on grayscale gradient computation still need to be optimized in practicality, especially in terms of actual visual quality and sensitivity to image contrast. …”
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Time Series Forecasting Based on Temporal Networks Evolution and Dynamic Constraints by Yunlong Peng, Han Li, Xu Han

“…A loss function is constructed by integrating the ability of weighted temporal networks to reconstruct the original time series data and visibility-based constraint features, enabling the computation of predicted values for next time step. …”
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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

“…To speed up segmentation, parallel algorithms for growing areas have been developed, in which processing begins from the neighborhoods of preselected initial growth pixels. …”
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Area integrity index with random rearrangement (AIIRR): A new concept for quantifying disruptive colorations by Masahiko Tanahashi, Min‐Chen Lin, Chung‐Ping Lin

“…In the second bootstrap process, coloration patterns are repeatedly arranged in a random manner and forced to generate different separation patterns. …”
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Emotional reactions in patients after frontal lobe stroke by Stojanović Zlatan, Vukadinović-Stojanović Sanja

“…Statistic data were processed by simple linear/nonlinear regression, Cox's and the generalized linear model. …”
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Detection and diagnosis of air compressor faults using weightless neural networks by Anubhab Bhattacharyya, Naveen Venkatesh Sridharan, Aravinth Sivakumar, Sugumaran Vaithiyanathan

“…Random access memory (RAM) devices are harnessed by WNNs to emulate the functioning of neurons. The training process employs a versatile and effective algorithm aimed at generating reliable and accurate results. …”
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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning by Julian Wolf, Stephan Hess, David Bachmann, Quentin Lohmeyer, Mirko Meboldt

“…Together with a real-time capability of the mapping process after completed training, even hours of eye tracking recording can be evaluated efficiently. …”
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RESEARCH ON THE TEST METHOD OF STRUCTURE THERMAL DEFORMATION IN THE VACUUM THERMAL ENVIRONMENT by LI Yu, CHEN Li, JIANG HongZhi, AI Zhuo, WANG GenYuan, CAO JinXin

“…Besides,the effect of the scene depth,the contrast of circular feature points and scale factor on the measurement accuracy was verified by the simulation and experiment,then a multi-exposure image processing method was proposed,which selecting the best circle center extraction and recognition results from circular feature point images taken from different exposures to fusion computation,ensuring better contrast and brightness images were obtained. …”
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Performance Enhancement in Horizontal Axis Wind Turbine Using Blade With Split by Adilkhan Tuken, Cemil Yigit

“…A numerical study using computational fluid dynamics (CFD) modeling was conducted to investigate the split impacts on the HAWT blades. …”
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Do ‘language trees with sampled ancestors’ really support a ‘hybrid model’ for the origin of Indo-European? Thoughts on the most recent attempt at yet another IE phylogeny by Alexei S. Kassian, George Starostin

“…Abstract In this paper, we present a brief critical analysis of the data, methodology, and results of the most recent publication on the computational phylogeny of the Indo-European family (Heggarty et al. 2023), comparing them to previous efforts in this area carried out by (roughly) the same team of scholars (informally designated as the “New Zealand school”), as well as concurrent research by scholars belonging to the “Moscow school” of historical linguistics. …”
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Tightly Coupled SLAM Algorithm Based on Similarity Detection Using LiDAR-IMU Sensor Fusion for Autonomous Navigation by Jiahui Zheng, Yi Wang, Yadong Men

“…The algorithm integrates Inertial Measurement Unit (IMU) and LiDAR odometry modules, employs a tightly coupled processing approach for sensor data, and utilizes curvature feature optimization extraction methods to enhance the accuracy and robustness of inter-frame matching. …”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…This review concludes by highlighting the current challenges, such as computational demands and data management, and proposing future directions for research in automated modal analysis to support resilient, sustainable infrastructure.…”
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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…In particular, we examine the computation of the cumulative distribution function (CDF) of the spectral measure of a Hamiltonian and the identification of its discontinuities. …”
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Evaluating the Performance of Python-Based Machine Learning in Earthquake-Resistant Building Design by Sameh Fuqaha, Guntur Nugroho

“…Moreover, the AI model significantly reduced computational time, completing analyses within seconds compared to the extended duration required by SAP2000. …”
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Evaluation of structural-functional changes of the left ventricular myocardium in patients with arterial hypertension and obesity by the level of irisin by O. V. Shaparenko, P. H. Kravchun, P. P. Kravchun, O. I. Kadykova, H. V. Lisova

“…All participants of the study underwent irisin level measurement by an enzyme-linked immuno-sorbent assay and an echocardiographic examination with subsequent computer processing of the results using the software package “Statistica 6.0” (StatSoft Inc.…”
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