WPD-Based Noise Reduction for Microseismic Data Through Adaptive Coefficient Shrinkage and Multi-Basis Fusion by Yaqi Zhang, Zhiqiang Lan, Zheng Shi, Yuhang Xue, Jie Wang, Kun Zhu, Jian He, Xiujian Chou

“…Due to the precise time-frequency analysis capabilities, flexibility, and low computational complexity, Wavelet Packet Decomposition (WPD) has become one of the most widely used noise reduction approaches in microseismic data enhancement. …”
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Machine Learning-Based Classification of Suspension Droplet-Solid Wall Impacts for Control of Droplet Fragmentation by Mikhail Vulf, Dmitry Zharikov, Dmitry Kolomenskiy, Dmitry Eskin, Pavel Osinenko

“…The suggested markup indicators form the basis for computer vision processing of drop-wall impact videos. …”
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3D printed headholder for use in neurosurgical cadaver training: Technical note by Rick H.G.J. van Lanen, Max E. Keizer, Mariël P. Ter Laak – Poort, Andreas Herrler, Lucas J. Poort, Olaf E.M.G. Schijns

“…Material and methods: Computer-aided design software was used to design a headholder, utilizing a three-pin skull fixation. …”
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A Study of Real-time Detection Methods for Solar Radio Burst Identification by YongLin Yu, ChengLong Qiao, Shuo Xu, QinZheng Li, YanRui Su, HongQiang Song, FaBao Yan

“…Spectrum analysis conducted manually or with traditional image processing algorithms is limited by low efficiency and accuracy. …”
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Machine-learned interatomic potentials for accurate analysis of the mechanical properties of boron nitride sheets by Vijay Choyal, Mahesh Patil, Nitin Luhadiya, S I Kundalwal

“…We introduced a novel machine-learned interatomic potential (MLIP) by thoroughly discussing the step–by–step MLIP creation process using precise but limited data. This study explored the mechanical properties of hexagonal boron nitride (hBN) nanosheets and addressed the challenges of accurately predicting their structural properties. …”
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Heat Transfer Characteristics of Passive, Active, and Hybrid Impinging Jets: A Review by Michel Matar, Mohammad El Hassan, Nikolay Bukharin, Anas Sakout, Ali Hammoud, Hassan H. Assoum

“…Numerical simulation methods, such as Computational Fluid Dynamics (CFD), are reviewed. The efficacy of these methods is evaluated by comparing their performance, highlighting potential for optimization and innovation in jet impingement heat transfer.…”
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A Very Large-Scale Integration (VLSI) Chip Design for Abnormal Heartbeat Detection Using a Data-Shifting Neural Network (DSNN) by Yuan-Ho Chen, Szi-Wen Chen, Hong-Wen Jian, Shinn-Yn Lin, Rou-Shayn Chen

“…In order to enhance the detection accuracy, the DSNN is devised by doubling the input signal using a data shifting scheme so that the amount of information for training may be adequately sufficient. Although the computational time doubles, the accuracy can be improved. …”
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Single-cell proteomic analysis reveals Multiple Myeloma heterogeneity and the dynamics of the tumor immune microenvironment in precursor and advanced states by Mohamed Kamal, Stephanie N. Shishido, Jeremy Mason, Krina Patel, Elisabet E. Manasanch, Robert Z. Orlowski, Peter Kuhn

“…Bone marrow samples were processed, stained with a 29-metal-labeled antibody panel, and analyzed using computational clustering approaches. …”
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Femoral strength after cephalomedullary nail removal can be predicted preoperatively using CT based FE models by Alexander Synek, Gilbert M. Schwarz, Andreas G. Reisinger, Stephanie Huber, Sylvia Nürnberger, Lena Hirtler, Jochen G. Hofstaetter, Dieter H. Pahr

“…Nine proximal femora of body donors who were treated with a CMN during their lifetime were included. Computed tomography (CT) scans were acquired with the CMN still in place, followed by virtual implant removal using image processing. …”
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Visualising xylem vessels connections formed one year after grafting using different techniques by Marilou Camboué, Anne Janoueix, Anne-Sophie Spilmont, Guillaume Mathieu, Nathalie Ollat, Luis Gonzaga Santesteban, Sarah Cookson

“…X-ray micro-computed tomography (micro-CT), a three-dimensional imaging technique, was used to observe the anatomy of the graft union based on tissue x-ray density, and functional xylem vessels were labelled with a contrast agent. …”
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Impact of long trains on the railway track by V. S. Kossov, A. A. Lunin, Y. A. Panin, A. V. Trifonov, I. E. Il’In

“…Analysis of dynamic qualities and indicators of impact of model of coupled trainset on track is carried out by means of computer modeling, and impact evaluation of action of longitudinal force on carriage indicators, both dynamic and by impact on track, is given at different conditions of railway track. …”
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Steady-State Model Enabled Dynamic PEMFC Performance Degradation Prediction via Recurrent Neural Network by Qiang Liu, Weihong Zang, Wentao Zhang, Yang Zhang, Yuqi Tong, Yanbiao Feng

“…The proposed methodology provides automakers with a computationally efficient framework for durability prediction and control optimization in vehicular fuel cell systems.…”
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Minimizing Age of Information in Multi-Class Systems Using an Elapsed-Time-Based Hybrid Service Discipline by Tamer E. Fahim, Sherif I. Rabia, Ahmed H. Abd El-Malek, Waheed K. Zahra

“…For the latter, a near-optimal approach is proposed to reduce the computational complexity of determining the optimal solution as the number of priority classes increases.…”
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Robust Multi-Input Multi-Output Analysis for Crop Row Segmentation and Furrow Line Detection in Diverse Agricultural Fields by Muhammad Ibrahim Zain Ul Abideen, Dewa Made Sri Arsa, Talha Ilyas, Hyunggi Jo, Sang Cheol Kim, Hyongsuk Kim

“…Our algorithm utilizes RGB and depth images, processed through a dual encoder that combines their features. …”
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A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture by Zhiyong Li, Lan Xiang, Jun Sun, Dingyi Liao, Lijia Xu, Mantao Wang

“…This framework aims to address several prevalent challenges in smart agriculture, including limited computational resources, strict real-time constraints, and suboptimal segmentation accuracy on cropped images. …”
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Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning by Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang

“…Mask R-CNN and U-Net are the two most popular deep learning frameworks for image segmentation in computer vision. In this study, we systematically compare and evaluate the performance and adaptability of the Mask R-CNN and the U-Net models for delimiting landslide areas in optical remote sensing images with various resolutions across regions using statistical metrics. …”
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Procedimiento de corte en cuerpos sólidos poliédricos // Section procedure in solid polyhedral bodies. by A. Miguel Iznaga Benítez, I. Pérez Mallea

“…<br />This algorithm can be use in the software creation that will help to the educational process</p><p><br />Key words: section, separation of solids, algorithm, geometric modeling, graphic, CAD. teaching.…”
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Laser-based transmission-reflection fusion device for coal-water mixture concentration measurement by GUO Yu, YANG Chengtao, CHEN Feng, JIANG Peiwen, LI Bing, MA Yancao, XU Rui, HUO Xuesong, TIAN Mi, WU Tengfei

“…The digital signals were superimposed and then processed for grayscale transformation and feature region selection, which helped reduce computational complexity and eliminate interference. …”
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Low-dimensional multiscale fast SAR image registration method by Jiamu Li, Wenbo Yu, Zijian Wang, Jiaxin Xie, Xiaojie Zhou, Yabo Liu, Zhongjun Yu, Meng Li, Yi Wang

“…These descriptors are usually high-dimensional, resulting in increased computational complexity. To this end, a low-dimensional multiscale fast method for SAR image registration is proposed in this paper. …”
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Evaluation method of spatial distribution characteristics for asphalt mixture structure based on Sholl analysis by Tengjiang Yu, Ziqi Chen, Fushou Zhao, Xiangrui Ji, Haitao Zhang, Shengsheng Ma

“…To further evaluate the reliability and rationality of asphalt mixture structure, the spatial distribution characteristics of void structure, mortar structure and aggregate structure were analyzed by combining computed tomography (CT) and Sholl analysis. Firstly, the spatial structure images of asphalt mixture specimen can be obtained through CT scanning test, and the independent void structure, mortar structure and aggregate structure have been obtained by combining digital image processing technology. …”
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