ANALYTICAL MODEL OF DAMAGED AIRCRAFT SKIN BONDED REPAIRS ASSUMING THE MATERIAL PROPERTIES DEGRADATION by A. A. Fedotov, A. V. Tsipenko

“…The variant of the computational complex based on inclusion method is proposed.For calculation purposes the repair bonded joint is divided into two areas: a metal plate with patch-shaped hole and a "patch-adhesive layer-skin" composite plate (inclusion).Calculation stages:Evaluation of the patch influence to the skin stress-strain condition, stress distribution between skin and patch in the case of no damage. …”
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An AI based cross‐language aspect‐level sentiment analysis model using English corpus by Jing Chen, Li Pan

“…However, actual data is very complex and contains a large amount of redundant information. …”
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Exploring the use of new data assimilation technologies to map groundwater quality vulnerability in a large alluvial aquifer by Wes Kitlasten, Catherine Moore, John Doherty

“…Bayesian analysis begins by generating ensembles of realizations of hydraulic property and other parameters used by a multi-layer groundwater model. The first technology supports this first step, by ensuring that respect for complex hydrogeology is embodied in nonstationary representations of hydraulic properties, as well as in stochasticity of so-called “hyperparameters” which govern their spatially variable geostatistics. …”
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Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow by Khalil Ur Rehman, Nosheen Fatima, Wasfi Shatanawi, Nabeela Kousar

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Title not available by Walrant, Astrid, Tazi, Farah, Khemaissa, Sonia, Sagan, Sandrine

“…The plasma membrane is complex in terms of molecular composition and structure. …”
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Multi-Scale Plastic Lunch Box Surface Defect Detection Based on Dynamic Convolution by Jing Yang, Gang Zhang, Yunwang Ge, Jingzhuo Shi, Yiming Wang, Jiahao Li

“…Secondly, a small target detection layer is added to Slim-neck to solve the semantic information loss problem of various defect features. …”
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Motion Classification Based on Harmonic Micro-Doppler Signatures Using a Convolutional Neural Network by Cory Hilton, Sheng Huang, Steve Bush, Faiz Sherman, Matt Barker, Aditya Deshpande, Steve Willeke, Jeffrey A. Nanzer

“…We characterize the motion of tagged, held objects via the time-varying frequency shift of the harmonic signals (harmonic Doppler). With complex micromotions of held objects, the time-frequency response manifests complex micro-Doppler signatures that can be used to classify the motions. …”
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GES-YOLO: A Light-Weight and Efficient Method for Conveyor Belt Deviation Detection in Mining Environments by Hongwei Wang, Ziming Kou, Yandong Wang

“…The core of this algorithm is to enhance the model’s ability to extract features in complex scenarios, thereby improving the detection efficiency. …”
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Metastatic lesion of the choroid against the background of polychemotherapy by Yu. N. Yusef, A. S. Stoyukhina

“…We believe that the signs of vascular collateral formation at the level of the choriocapillary layer revealed by OCT-angiography indicate a compensatory reaction of the body.…”
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MSEANet: Multi-Scale Selective Edge Aware Network for Polyp Segmentation by Botao Liu, Changqi Shi, Ming Zhao

“…Nevertheless, achieving precise segmentation remains a significant challenge due to the high visual similarity between polyps and their backgrounds, blurred boundaries, and complex localization. To address these challenges, a Multi-scale Selective Edge-Aware Network has been proposed to facilitate polyp segmentation. …”
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Laser‐Enabled Fabrication of Flexible Printed Electronics with Integrated Functional Devices by Wedyan Babatain, Christine Park, Hiroshi Ishii, Neil Gershenfeld

“…However, traditional printed circuit board manufacturing involves complex, multistep processes, is limited to certain substrates, and faces challenges in integrating functional devices. …”
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INTEGRATING CNN AND DICTIONARY MECHANISMS FOR EFFECTIVE LOOP CLOSURE DETECTION by Ayda Mohammed Sharif, Sadegh Abdollah Aminifar

“…The proposed CNN architecture, featuring a single convolutional layer with 32 filters, achieves 98% classification accuracy on the Greenhouse Scene Dataset-a structured agricultural environment. …”
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TGNet: tensor-based graph convolutional networks for multimodal brain network analysis by Zhaoming Kong, Rong Zhou, Xinwei Luo, Songlin Zhao, Ann B. Ragin, Alex D. Leow, Lifang He

“…However, existing methods often struggle to effectively model the complex structures of multimodal brain networks. In this paper, we propose a novel tensor-based graph convolutional network (TGNet) framework that combines tensor decomposition with multi-layer GCNs to capture both the homogeneity and intricate graph structures of multimodal brain networks. …”
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A comparative analysis of glomerulus development in the pronephros of medaka and zebrafish. by Koichiro Ichimura, Ekaterina Bubenshchikova, Rebecca Powell, Yayoi Fukuyo, Tomomi Nakamura, Uyen Tran, Shoji Oda, Minoru Tanaka, Oliver Wessely, Hidetake Kurihara, Tatsuo Sakai, Tomoko Obara

“…It is a component of every single nephron in the complex mammalian metanephros and also in the primitive pronephros of fish and amphibian larvae. …”
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A multi-time scale rolling optimization framework for low-carbon operation of CCHP microgrids with demand response integration. by Jue Wang, Zhiwei Cheng, Dejun Lu, Mingxiang Zhu, Dengfeng Zhang

“…To address these challenges, we propose a two-layer rolling optimization framework with multi-time scale scheduling for CCHP microgrid systems. …”
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Cross‐Attractor Transforms: Improving Forecasts by Learning Optimal Maps Between Dynamical Systems and Imperfect Models by N. Agarwal, D. E. Amrhein, I. Grooms

“…Abstract Biased, incomplete numerical models are often used for forecasting states of complex dynamical systems by mapping an estimate of a “true” initial state into model phase space, making a forecast, and then mapping back to the “true” space. …”
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A defense method against multi-label poisoning attacks in federated learning by Wei Ma, Qihang Zhao, Wenjun Tian

“…Traditional defense mechanisms perform poorly against these complex and diverse attacks, particularly multi-label flipping attacks. …”
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Improvement of metaphor understanding via a cognitive linguistic model based on hierarchical classification and artificial intelligence SVM by Dongmei Zhu

“…Then, local contextual features are extracted through a multi-layer CNN. These features are subsequently input into the SVM for classification, enabling optimal metaphor recognition. …”
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Finite Element Modelling of a Flow-Acoustic Coupling in Unbounded Domains by Paweł ŁOJEK, Ireneusz CZAJKA, Andrzej GOŁAŚ

“…The non-reflective boundary condition called buffer layer was also implemented into equations, which allowed modelling of unbounded domains. …”
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An Elastic Fine-Tuning Dual Recurrent Framework for Non-Rigid Point Cloud Registration by Munan Yuan, Xiru Li, Haibao Tan

“…Non-rigid transformation is based on rigid transformation by adding distortions to form a more complex but more consistent common scene. Many advanced non-rigid alignment models are implemented using supervised learning; however, the large number of labels required for the training process makes their application difficult. …”
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