The model is a reprint of an object in the image by A. A. Kulikov

“…To train a reprint model of an object in an image, a multi-layer neural network is used, which is trained sequentially. …”
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Retinal Vessel Diameter Reductions Are Associated with Retinal Ganglion Cell Dysfunction, Thinning of the Ganglion Cell and Inner Plexiform Layers, and Decreased Visual Field Globa... by Andrew Tirsi, Nicholas Leung, Rohun Gupta, Sungmin Hong, Derek Orshan, Joby Tsai, Corey Ross Lacher, Isabella Tello, Samuel Potash, Timothy Foster, Rushil Kumbhani, Celso Tello

“…<b>Background/Objectives</b>: The aim of this study was to evaluate the associations between optical coherence tomography angiography (OCTA)-based retinal vessel diameter (RVD) measurements, with retinal ganglion cell (RGC) function assessed by means of steady-state pattern electroretinography (ssPERG) using ganglion cell layer-inner plexiform layer thickness (GCL-IPLT) measurements and with Humphrey field analyzer (HFA) global indices in glaucoma suspects (GSs). …”
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Alzheimer’s Disease Detection in Various Brain Anatomies Based on Optimized Vision Transformer by Faisal Mehmood, Asif Mehmood, Taeg Keun Whangbo

“…In this study, we focused on optimizing the training process of deep learning models by proposing an enhanced version of the Adam optimizer. …”
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FEATURES OF MAGNETOVIBRATING TECHNOLOGIES OF SLIME SEPARATION IN GRINDING MANUFACTURE by Yury Mikhaylovich Vernigorov, Dmitry Mikhaylovich Plotnikov, Natalya Nikolayevna Frolova

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Effect of subsequent yield surface on residual stress in 3D numerical simulation of laser cladding process by Taisei IZUMI, Ayumu YANO, Masayuki ARAI

“…A substrate fixation method in the manufacturing process can mitigate thermal distortion. However, this fixation may induce residual tensile stress in the LC layer. …”
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A Deep Learning Approach for General Aviation Trajectory Prediction Based on Stochastic Processes for Uncertainty Handling by Houru Hu, Ye Yuan, Qingwen Xue

“…Second, we develop a multi-layer attention mechanism that accounts for weather factors, enhancing the model’s responsiveness to environmental changes. …”
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An Analysis of the Factors Influencing Dual Separation Zones on a Plate by Jiarui Zou, Xiaoqiang Fan, Bing Xiong

“…The shock wave/boundary layer interaction phenomenon in hypersonic inlets, affected by background waves, may induce the formation of multiple separation zones. …”
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A Robust Enhanced Ensemble Learning Method for Breast Cancer Data Diagnosis on Imbalanced Data by Zhenzhen Wang, Junde Xie, Jia Zhang

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Comparison and Numeric Simulation of Two Sea Fog Processes behind High Pattern over Qiongzhou Strait by Wei YANG, Chunhua ZHANG, Xiao FENG, Xun LI, Jianxing LIN

“…Using mesoscale numerical forecasting model WRF and National Centers for Environmental Prediction （NCEP） reanalysis data， two persistent sea fog events on 17-20 February 2018 and 4-6 February 2019 over Qiongzhou strait were simulated.Combined with visibility data of CMA Land Data Assimilation System， satellite and ground observations， the weather background， maintenance and development， water vapor transport， dynamic condition and cloud-fog structure of two sea fog processes were compared and analyzed.The results indicated that both persistent sea fog cases occurred at the back of denatured cold high moving in to the sea.During the 2018 sea fog events period， easterly water vapor convergence was strong， the high relative humidity in the lower layer was deep.The increasing relative humidity and strong water vapor convergence caused the advection fog last for more than 10 hours， with a minimum visibility of 100 m.Meanwhile， the mid-level cloud coexist with sea fog could reduce the shortwave radiation received by the ground in the daytime and weaken the warming effect， while played a role in heat preservation at night making surface-based lower temperature and inversion layer stability maintenance.Thus， the presence of clouds above the fog had a great effects on the maintenance and development of the lasting fog event.During the 2019 sea fog events period， the southeast water vapor convergence was weak， the high relative humidity was shallow， the sea fog with small area in Qiongzhou Strait developed first from inland， and dissipated after sunset.…”
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RGB-D salient object detection based on BC2 FNet network by WANG Feng, CHENG Yongmei

“…Secondly, a boundary-driven feature selection module is designed, which is dedicated to simultaneously focusing on important feature information and preserving boundary details in the process of RGB and depth modality fusion. Finally, a boundary-driven cross-layer fusion module is proposed which simultaneously adds two kinds of boundary information in the process of up-sampling fusion on adjacent layers. …”
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Research advance in changes and climate effect of methane by HAN Yuanyuan, LI Shentao, LI Xin, WEN Kaixuan, WANG Xudong

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Study of the Cu(In,Ga)Se2 crystallization process through a combination of in-situ characterization techniques by José Fonseca, Carlos J Tavares, Alec P LaGrow, Zakaria Ziadi, Oleksandr Bondarchuk, Sascha Sadewasser

“…Amorphous CIGSe was deposited through sputtering of a ternary target with simultaneous supply of selenium by evaporation. A Se capping layer revealed to enhance crystallization at lower temperatures, yielding larger crystallites at 400 °C and larger crystal grains after the crystallization process. …”
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Sedimentary Characteristics and Genetic Mechanisms of Non-Evaporitic Gypsum in a Half-Graben Basin: A Case Study from the Zhanhua Sag, Bohai Bay Basin, China by Muxin Cai, Jianguo Zhang, Zaixing Jiang, Junliang Li, Tao Meng, Peng Liu, Chao Jiang

“…This study is based on the Zhanhua Sag, in which thick-layered gypsum rocks with dark mudstone are deposited. …”
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Composition and Provenance of the Chang′e-6 Lunar Samples: Insights from the Simulation of the Impact Gardening Process by Yanze Su, Luyuan Xu, Meng-Hua Zhu, Xing-Li Cui

“…Besides the local materials of mare basalts, a certain quantity of foreign ejecta materials are expected in the samples, while their percentage was mostly overestimated since the influence of impact gardening was not fully considered. In this study, we model the impact gardening process surrounding the CE-6 landing site by numerical simulations. …”
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Atmospheric processing and aerosol aging responsible for observed increase in absorptivity of long-range-transported smoke over the southeast Atlantic by A. A. Fakoya, J. Redemann, P. E. Saide, P. E. Saide, L. Gao, L. T. Mitchell, C. Howes, A. Dobracki, A. Dobracki, I. Chang, G. A. Ferrada, G. A. Ferrada, K. Pistone, K. Pistone, S. E. Leblanc, S. E. Leblanc, M. Segal-Rozenhaimer, M. Segal-Rozenhaimer, A. J. Sedlacek III, T. Eck, T. Eck, B. Holben, P. Gupta, E. Lind, P. Zuidema, G. Carmichael, G. Carmichael, C. J. Flynn

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A trusted IoT architecture model by Ansheng YIN, Shijun ZHANG

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Virtual test bench for computer-aided design of drum dryers based on kinetic laws of the drying process by V. V. Tkach, A. A. Shevtsov

“…The aim of the study is to create a virtual test bench, consisting of optimal design parameters that provide the maximum approximation of the real drying process to the experimental data.Method. Methods of modeling, formalized description, optimal design and management of technological processes and productions are applied. …”
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Machine learning-based prediction of pervaporation permeation using physicochemical properties of permeant-membrane and process conditions by Muhammad Mujiburohman, Marwen Elkamel, Farzad Hourfar, Ali Elkamel

“…It is well accepted that the pervaporation (PV) permeation was affected by the physicochemical properties of permeant-membrane materials and process conditions. Given many experimental data of PV, a predictive model on PV permeation based on their physicochemical properties and process conditions can be constructed. …”
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Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum by İnayet Burcu Toprak, Nafel Dogdu, Metin Uymaz Salamci

“…This study presents a comprehensive numerical investigation of the Laser Powder Bed Fusion (LPBF) process for pure molybdenum, focusing on high-precision modeling and process optimization. …”
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Integrated Cascade Control and Gaussian Process Regression–Based Fault Detection for Roll-to-Roll Textile Systems by Ahmed Neaz, Eun Ha Lee, Mitul Asif Noman, Kwanghyun Cho, Kanghyun Nam

“…In parallel, a data-driven fault detection layer uses Gaussian Process Regression (GPR) models, trained offline on healthy operating data, to predict yarn tension and motor speeds. …”
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