Sequence-Aware Vision Transformer with Feature Fusion for Fault Diagnosis in Complex Industrial Processes by Zhong Zhang, Ming Xu, Song Wang, Xin Guo, Jinfeng Gao, Aiguo Patrick Hu

“…While deep learning models like Vision Transformer (ViT) capture broader temporal features, they struggle with varying fault causes and time dependencies inherent in industrial data, where adding encoder layers may even hinder performance. …”
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Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma. by Mohammad Fallahi-Sichani, Matthew A Schaller, Denise E Kirschner, Steven L Kunkel, Jennifer J Linderman

“…To characterize mechanisms that control TNF availability within a TB granuloma, we developed a multi-scale two compartment partial differential equation model that describes a granuloma as a collection of immune cells forming concentric layers and includes TNF/TNF receptor binding and trafficking processes. …”
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Drying characteristics of green pellets based on the Weibull and Dincer models by Xiaoping Zhang, Zihao Fan, Hongliang Wu, Junqiang Cong, Jialong Yang, Baoliang Wen

“…This study investigates the impact of various drying conditions on the drying characteristic of green pellets and evaluates the applicability of the Weibull and Dincer models in describing the drying process of green pellets. …”
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Salt-wedge estuary's response to rising sea level, reduced discharge, and Nature-Based Solution by Giorgia Verri, Alessandro De Lorenzis, Vladimir Santos da Costa, Albert Sorolla, Adrian Löchner, Miquel Ribot, Eugenia Marti, Sara Castelar DelGado, Giovanni Coppini, Nadia Pinardi

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A raypath-consistent receiver correction in PS converted wave processing through seismic interferometry: New application for tropical zones New application for tropical zones by Andrés Salamanca, Luis Montes

“…Inverse filters, derived from these functions, are applied by convolution to the raw traces to supply traces corrected for weathering layer effects. Seismic interferometry was satisfactorily tested in two synthetic models and then applied to a 2C seismic line from the Llanos Basin (Colombia). …”
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Handover challenges in disaggregated open RAN for LEO Satellites: tradeoff between handover delay and onboard processing by Siva Satya Sri Ganesh Seeram, Luca Feltrin, Mustafa Ozger, Mustafa Ozger, Shuai Zhang, Cicek Cavdar

“…The present study examines three open RAN-based regenerative architectures, namely, Split 7.2× (low-layer physical functions onboard), Split 2 (Layers 1 and 2 onboard), and a gNB onboard the satellite. …”
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Sensitivities of simulated mixed-phase Arctic multilayer clouds to primary and secondary ice processes by G. Wallentin, A. Oertel, L. Ickes, P. Achtert, M. Tesche, C. Hoose

“…With a limited-area setup, we investigate how cloud layers respond to perturbations in cloud droplet activation, primary ice, and secondary ice production (SIP). …”
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The Influence of Sand Pore Structure on Air Migration During Air-Injected Desaturation Process by Yumin Chen, Chengzhao Qin, Saeed Sarajpoor, Runze Chen, Yi Han, Zijun Wang

“…These results suggest potential enhancements in the positioning of air injection ports within complex soil layers, as well as improvements in the construction process, both aimed at optimizing the desaturation effect.…”
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SWIPT-Enabled Cooperative Wireless IoT Networks With Friendly Jammer and Eavesdropper: Outage and Intercept Probability Analysis by Dinh Tung Vo, Trinh Van Chien, Tan N. Nguyen, Dinh-Hieu Tran, Miroslav Voznak, Byung Seo Kim, Lam Thanh Tu

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Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

“…After preprocessing and processing data, data mining models including Classification & Regression Tree (CART), Chi-squared Automatic Interaction Detector (CHAID), Induction of Decision Trees (C5) and neural networks Radial Basis Function (RBF), Multi Layer Perceptron (MLP) and Support Vector Machine (SVM) were used in Spss Modeler Ver 20 software. …”
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Application of Electrical Impedance Measurements’ Method for Studies of Bubble Flows by I. A. Konovalov, A. A. Chesnokov, A. A. Barinov, S. M. Dmitriev, A. E. Khrobostov, M. A. Makarov

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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…The proposed DC (De-convolution Component) with RES (Residual Prolonged Bypass) is employed in the present research work as it is responsible to increase the spatial resolution of the feature maps and helps in recovering lost spatial information during the down sampling process. Likewise, the RES model aids in proficiently proliferating both low-level and high-level features to the deep layers, which help in generating better-segmented images. …”
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Generation and recognition of eye movement samples based on generative artificial intelligence by TAN Xueqing, SONG Jun, ZHANG Manman, ZANG Chuanli

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Solución a un problema estático en un área con topografía abrupta usando una velocidad de reemplazamiento variable by Castillo López Luis Antonio, Pedraza Carlos

“…The method consists of determining from a starting velocity model, this model has a layer constructed taking into average thickness a velocity for the area.…”
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Numerical Permeation Models to Predict the Annulus Composition of Flexible Pipes by João Marcos B. Vieira, José Renato M. de Sousa

“…Hence, this work proposes two finite element (FE) permeation models and discusses the effects of the pipe’s characteristics. …”
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Development of Theoretical Approaches to Determination of the Main Groups of Biologically Active Substances of Medicinal Plant Raw Materials by TLC Method by O. V. Trineeva

“…The regularities of elution and mathematical models describing the chromatographic behavior of plant BAS in a thin layer of sorbent have been established. …”
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TEI in LMNL: Implications for Modeling by Wendell Piez

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Pasternak Model-Based Tunnel Segment Uplift Model of Subway Shield Tunnel during Construction by Xiang-Ling Tao, Yun-He Su, Qi-Yin Zhu, Wen-Long Wang

“…A tunnel segment uplift calculation model based on the Pasternak foundation beam model is proposed, which considers the hardening process of the grouted body with time. …”
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Computational model of sliding bearing by Maria A. Savenkova, Konstantin S. Solop

“…The obtained calculated models allow for a comparative analysis of the newly received and already available results which confirms a great proximity of the new models to the actual one. …”
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Earthwork Network Architecture (ENA): Research for Earthwork Quantity Estimation Method Improvement with Large Language Model by Taewook Kang, Kyubyung Kang

“…This study introduces the Earthwork Network Architecture (ENA), a novel deep learning framework that incorporates Large Language Models (LLMs), Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM) networks, and Transformers to automate and enhance the accuracy of earthwork quantity estimation. …”
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