Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Preprocessing involved separate embedding layers for categorical data and feed-forward networks for continuous data. …”
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Exploiting Temporal Variability in TCP Timestamps for Covert Channel Design by Silvio R. A. O. Filho, Claudio A. S. Lelis, Eric T. E. Soares, Cesar A. C. Marcondes

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Mercury capture using functionalized metal-organic framework encapsulated in dual hydrogel layers of β-cyclodextrin and polyethylenimine: Synthesis, characterization, adsorption, t... by Asma O. Obaid, Amnah S. Al Zbedy, Kamelah S. Alrashdi, Meshari M. Aljohani, Sara A. Alqarni, Ameena M. Al-Bonayan, Hana M. Abumelha, Nashwa M. El-Metwaly

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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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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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Influence of Ice Growth Mode on the Ice Thickness and Shape Prediction of Two-Dimensional Airfoil by Xiaobin Shen, Jingyu Zhao, Zekun Ye, Huanfa Wang, Guiping Lin

“…Computational results of aircraft icing and predictions of ice shape are not only determined by the solutions of air-supercooled droplet two-phase flow and icing thermodynamic models of surface water film, but are also influenced by the growth mode of the ice layer. …”
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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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Lightweight CNC digital process twin framework: IIoT integration with open62541 OPC UA protocol by Arivazhagan Anbalagan, Waqir Yusuf Zanhar, Shone George, Marcos Kauffman, Tengfei Long

“…This research introduces a novel, lightweight Digital Process Twin (DPT)-integrated IIoT framework for CNC machining, built on a modular five-layer architecture using the open-source open62541 OPC UA protocol. …”
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A trusted IoT architecture model by Ansheng YIN, Shijun ZHANG

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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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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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Performance of Fine-Tuning Techniques for Multilabel Classification of Surface Defects in Reinforced Concrete Bridges by Benyamin Pooraskarparast, Son N. Dang, Vikram Pakrashi, José C. Matos

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Thermo mechanical Finite Element Analysis of the plasma Wire Arc Additive Manufacturing process in DEFORM® 13 by Marcel Czipin, Alexander Wenda, Karin Hartl, Emre Akalin, Martin Stockinger

“…A single layer quad-mesh approach was employed alongside dummy heat sources to simulate the process by accurate layer wise activation within the arc welding module. …”
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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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Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting by Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace

“…This work proposes a cascade model incorporating Long–Short-Term Memory (LSTM) and Multi-Layer Perceptron (MLP), which offers a more reliable model to forecast short-term (hourly) and medium horizon (week) water demand. …”
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Multi-Mode Hand Gesture-Based VR Locomotion Technique for Intuitive Telemanipulation Viewpoint Control in Tightly Arranged Logistic Environments by Jaehoon Jeong, Haegyeom Choi, Donghun Lee

“…The system utilizes a head-mounted display (HMD) camera to capture hand skeleton data, which a multi-layer perceptron (MLP) model processes. The model classifies gestures into three modes: translation, rotation, and fixed, corresponding to fist, pointing, and unknown gestures, respectively. …”
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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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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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FEATURES OF MAGNETOVIBRATING TECHNOLOGIES OF SLIME SEPARATION IN GRINDING MANUFACTURE by Yury Mikhaylovich Vernigorov, Dmitry Mikhaylovich Plotnikov, Natalya Nikolayevna Frolova

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