Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…In addition, it is suitable for handling high-dimensional input data and produces efficient results with low computational cost. We evaluated the efficiency and performance of the ML algorithms using a set of metrics to measure their ability to accurately predict the HFF slope within the data set. …”
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Compliance Control of a Cable-Driven Space Manipulator Based on Force–Position Hybrid Drive Mode by Runhui Xiang, Hejie Xu, Xinliang Li, Xiaojun Zhu, Deshan Meng, Wenfu Xu

“…Position control and force control are implemented separately, significantly reducing the computational requirements and enhancing the overall performance of the control system. …”
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ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS by D. A. Pervukhin, Lisha Tang

“… In particular, this work explores the effectiveness of capacity layout optimisation on workflows and organizational performance for coal enterprises through reliance on advanced technologies such as GIS, Lean Six Sigma, Artificial Intelligence (AI), and Big Data, filling in those gaps in prior studies by using software from AnyLogic to develop computational models and conduct simulations. It analyses the critical parameters of processing time, throughput rates, resource utilization, queue lengths, and idle times to determine operational efficiency and employee satisfaction. …”
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Motion Smoothness Analysis of the Gait Cycle, Segmented by Stride and Associated with the Inertial Sensors’ Locations by Leonardo Eliu Anaya-Campos, Luis Pastor Sánchez-Fernández, Ivett Quiñones-Urióstegui

“…This method is practical, time-effective, and low-cost in terms of computation. Furthermore, it is shown that analyzing gait signals segmented by strides provides more information about gait progression.…”
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Development of CFD porous model parameters of Korean PWR spent nuclear fuel assemblies for thermal analysis by Do Yun Kim, Han-Seop Song, Jae-Ho Jeong, Seung-Hwan Yu

“…This study focused on developing and validating porous model parameters to accurately estimate the thermal behavior of spent nuclear fuel assemblies for computational fluid dynamics simulations. These assemblies are stored in Korean pressurized water reactors (PWRs) under dry storage conditions. …”
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Silicon‐Based Optical Switch with Ge2Sb2Te5‐Enabled Phase‐Shifting Region by Xiaojun Chen, Jiao Lin, Ke Wang

“…With the rapid development of communication networks and computing, optical switches as an important elementary unit are highly needed. …”
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Wiener Filtering in Wavelet Domain on Laser Self-Mixing Interference for Micro-Displacement Reconstruction by Hui Liu, Xintao Li, Yaqiang You, Xia Liu, Xiaohui Zhao, Jian Sun, Jingwei Wang, Dong Hou

“…The proposed method employs two-level wavelet decomposition, ensuring computational efficiency and achieving an 11.3% improvement in displacement reconstruction accuracy compared to wavelet threshold filtering. …”
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Mathematical, electrochemical, spectroscopic and microscopic monitoring of the adsorption effect of expired drugs on zinc corrosion in 3.5% NaCl solution by Arafat Toghan, Omar K. Alduaij, Nada Alqarni, Emad M. Masoud, Hanan Alhussain, Ayman M. Mostafa, Ahmed A. Farag, Ahmed Fawzy

“…The experimental results of all the techniques used and the statistical and computational analysis were in remarkable agreement with each other.…”
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MSGU-Net: a lightweight multi-scale ghost U-Net for image segmentation by Hua Cheng, Yang Zhang, Huangxin Xu, Huangxin Xu, Dingliang Li, Zejian Zhong, Yinchuan Zhao, Zhuo Yan

“…In short, compared to the baseline U-Net, our model achieves superior segmentation performance while reducing parameter and computation costs by 96.08 and 92.59%, respectively. …”
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Explicit scheme based on integral transforms for estimation of source terms in diffusion problems in heterogeneous media by André José Pereira de Oliveira, Luiz Alberto da Silva Abreu, Diego Campos Knupp

“…Additionally, an initial interpolation of the sensor data is proposed for each observation time, making the inverse problem computationally lighter. The solutions of the inverse problem exhibit optimal performance, even with noisy input data and sources with abrupt discontinuities. …”
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Numerical Simulation on Carbonation Depth of Concrete Structures considering Time- and Temperature-Dependent Carbonation Process by Jianxin Peng, Huang Tang, Jianren Zhang, Steve C. S. Cai

“…The concrete block is discretized into triangular elements, and the CO2 concentrations at different positions are calculated based on finite element method. A computational algorithm is programed through the Matlab platform. …”
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Modeling the endocrine control of vitellogenin production in female rainbow trout by Kaitlin Sundling, Gheorghe Craciun, Irvin Schultz, Sharon Hook, James Nagler, Tim Cavileer, Joseph Verducci, Yushi Liu, Jonghan Kim, William Hayton

“…We anticipate that these mathematical and computational models will play an important role in future regulatory toxicity assessments and in the prediction of ecological risk.…”
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Sub-nanometer depth resolution and single dopant visualization achieved by tilt-coupled multislice electron ptychography by Zehao Dong, Yang Zhang, Chun-Chien Chiu, Sicheng Lu, Jianbing Zhang, Yu-Chen Liu, Suya Liu, Jan-Chi Yang, Pu Yu, Yayu Wang, Zhen Chen

“…This approach can be implemented on widely available transmission electron microscopes equipped with hybrid pixel detectors, with data processing achievable using high-performance computing systems.…”
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High-Temperature Corrosion Behavior of Incoloy 800H Alloy in the Impure Helium Environment by Wei Zheng, Huang Zhang, Bin Du, Haoxiang Li, Huaqiang Yin, Xuedong He, Tao Ma

“…In addition, the observation and computation of the critical temperature (TC) of the reaction between CO2 and carbon in the alloy show that TC is much lower than that (TA) of the microclimate reaction, which indicates that CO2 can protect the scale from destruction. …”
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Optimization of Anti-Scour Device Combined with Perforated Baffle and Ring-Wing Plate Based on a Multi-Factor Orthogonal Experiment by Yan Wang, Rongjun Liao, Pei Yuan, Jinchao Chen

“…In this paper, a new anti-scour device combined with a perforated baffle and ring-wing plate is proposed to enhance the traditional method for better protection of bridge piers from local scour. Based on computational fluid dynamics (CFD), the orthogonal experiments investigated the general laws of the influence of the main factors, such as the ratio of baffle perforated, the position of baffle, and the height of ring-wing plate on the anti-scour effect. …”
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Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11 by Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, Idalberto Macías-Socarras, Juvenal Rodríguez-Reséndiz, Juan M. Camacho-Pérez, Gabriel Carcedo-Rodríguez, Enrique Camacho-Pérez

“…However, YOLOv11 surpassed all models, achieving a test accuracy of 92.64% while maintaining significantly lower computational demands. These findings underscore the versatility of deep learning models and highlight the potential of YOLOv11 as an efficient and accurate solution for railway fault classification tasks.…”
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A Low-Profile Reflector-Enhanced Drop-Shaped Printed Antenna for Wide-Band Wireless Communications by Giovanni Cappelletti, Diego Caratelli, Renato Cicchetti, Claudio Gennarelli, Massimiliano Simeoni, Orlandino Testa

“…The experimental measurements performed on an antenna prototype are found to be in good agreement with the numerical computations.…”
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Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems by Candy Ocaña-Zuñiga, Lenin Quiñones-Huatangari, Elgar Barboza, Naili Cieza Peña, Sherson Herrera Zamora, Jose Manuel Palomino Ojeda

“…This research demonstrates the capacity of machine learning algorithms in disease diagnosis, which could be an alternative to help experts quantify the severity of coffee rust in coffee trees and broadens the field of research for future low-cost computational tools for disease recognition and classification…”
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A Hardware Accelerator for the Inference of a Convolutional Neural network by Edwin González, Walter D. Villamizar Luna, Carlos Augusto Fajardo Ariza

“…However, the CNN inference is computationally intensive and demanding a large among of memory resources. …”
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IoT, Blockchain, Big Data and Artificial Intelligence (IBBA) Framework—For Real-Time Food Safety Monitoring by Siva Peddareddigari, Sri Vigna Hema Vijayan, Manickavasagan Annamalai

“…Leveraging the Internet of Things (IoT), 5G, blockchains, cloud computing, and big data, a novel framework has been proposed to address the current challenges. …”
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