Damage Detection of Bridges Using Vibration Data by Adjoint Variable Method by Akbar Mirzaee, Mohsenali Shayanfar, Reza Abbasnia

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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…To overcome the vanishing gradient problem of traditional residual networks in deep structures, an improved residual network structure was introduced in the study, and optimization was performed simultaneously by combining the spatial transformation network and the feature enhancement module. …”
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A tied-weight autoencoder for the linear dimensionality reduction of sample data by Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee

“…Our results show that the proposed model performs comparably to the nonlinear model of a similar autoencoder structure to the proposed model. More importantly, we show that the proposed model outperforms the linear models in various metrics, including the mean square error, data reconstruction, and the classification of low-dimensional projections of the input data. …”
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Device models and technologies of data transmission and processing in the internet of things networks by V. A. Vishnyakov

“…Building an information model of an IoT device includes identifying data sources and their formats, creating a model and data structure, and analyzing them using tools such as: Eclipse Vorto ThingBoard, Ubodots IoT, Node-Red-UI, freeboard.io . …”
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Live research dialogue on the benefits, costs and utility of synthetic data for researchers by Emily Oliver, Fiona Lugg-Widger, Maureen Haaker, Cristina Magder, Emma Gordon

“…Results • Characteristics identified as important across a variety of use cases included accessibility, structure and format to match the real data, and documentation…”
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Development of BIM Platform for Semantic Data Based on Standard WBS Codes by Dongwook Kim, Jose Matos, Son N. Dang

“…This study explores the integration of 4D BIM data within a Work Breakdown Structure (WBS) framework in a real-world setting. …”
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Voxel-based vegetation change detection using multi-source data by D. Acharya, B. Gorte, M. Zhang, D. Yang, W. Shi, S. Zlatanova, S. Zlatanova, M. Wachowicz

“…This study presents a voxel-based approach to vegetation change detection from multi-source datasets, including laser scanning and 2D shape files from different years. A novel Octree data structure is utilised in this work that supports different operations for efficient vegetation change. …”
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Comparison of the Spread of Novel Coronavirus: Topological Data Analysis of 13 Countries by Shaun V. Ault, Jia Lu

“…As of now, most TDA studies are related to the biological structure of the SARS-COVID-2 virus and there is no literature on TDA application with country-level COVID-19 data. …”
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Approach to implant monitoring and data processing with digital implant lifecycle management by Berend Denkena, Marcel Wichmann, Max-Enno Eggers, Crystal Kayaro Emonde, Christof Hurschler

“…Implemented using an XML-data structure in simulation software, the concept focuses on manufacturing and monitoring, using total knee arthroplasty as an example. …”
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Flood inundation simulation using ASTER DEM data in Cilemer River by Nuryanto Sasmito Slamet, Sarwono Sarwono

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Data-efficient prediction of OLED optical properties enabled by transfer learning by Shin Jeong Min, Kim Sanmun, Menabde Sergey G., Park Sehong, Lee In-Goo, Kim Injue, Jang Min Seok

“…It has long been desired to enable global structural optimization of organic light-emitting diodes (OLEDs) for maximal light extraction. …”
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New Inventory of the Russian glaciers based on satellite data (2016–2019) by T. Y. Khromova, G. A. Nosenko, A. F. Glazovsky, A. Y. Muraviev, S. A. Nikitin, I. I. Lavrentiev

“…Delineation of glacier outlines was manually made to reduce uncertainties, especially for small glaciers. The database structure is compatible with the global and national glacier archives and includes the main glacial parameters. …”
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Urban Aerodynamic Roughness Length Mapping Using Multitemporal SAR Data by Fengli Zhang, Minmin Sha, Guojun Wang, Zhikun Li, Yun Shao

“…Radar remote sensing is considered to be an effective means for aerodynamic roughness retrieval because radar backscattering is sensitive to the surface roughness and geometric structure of a given target. In this paper, a methodology for aerodynamic roughness length estimation using SAR data in urban areas is introduced. …”
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Simulated Ocean Circulation from INDESO data in the Region of the Gulf of Tomini by Satria Yukiadi Santoso, Agus Saleh Atmadipoera, I Wayan Nurjaya, Dwiyoga Nugroho, Ariane Koch-Larrouy

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Efficient Classification and Rapid Processing of Big Data in Power Distribution Networks by Luan Ning, Cheng Li, Wang Dingji, Wang Shuaimei

“…Subsequently, variational autoencoder (VAE) is used to extract the hidden features of the data and the dimension reduction methods are applied to the hidden structure of data obtained from VAE. …”
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Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach by Meng Zhang, Joel Parker, Lingling An, Yiwen Liu, Xiaoxiao Sun

“…Extensive simulation studies have shown that FAST outperforms other existing reference-free methods. In real data applications, FAST is able to uncover the underlying tissue structures and identify the corresponding marker genes.…”
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A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…However, in real-world industrial applications, the intricate interplay among data quality, model accuracy, and generalizability poses significant challenges, hindering the effective deployment and scalability of data-driven models in complex manufacturing environments. …”
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Dynamic Ensemble Selection for EEG Signal Classification in Distributed Data Environments by Małgorzata Przybyła-Kasperek, Jakub Sacewicz

“…This study presents a novel approach to EEG signal classification in distributed environments using dynamic ensemble selection. In scenarios where data dispersion arises due to privacy constraints or decentralized data collection, traditional global modelling is impractical. …”
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Bone mineral content among Inuit – a systematic review of data by Jonas Bjørn Skjøth, Therese Mygind Hagens, Inuuteq Fleischer, Mogens Laursen, Stig Andersen

“…New scientific studies should update data, include spine and hip, describe bone structure, and consider fracture risk beyond BMC.…”
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Trusted access control mechanism for data with blockchain-assisted attribute encryption by Chang Liu, Dong Wang, Da Li, Shaoyong Guo, Wenjing Li, Xuesong Qiu

“…The B-CP-ABE scheme utilizes Bloom filter to hide the mapping relationship of sensitive attributes in the access structure, realizes flexible revocation and recovery of users and attributes by re-encryption algorithm, and solves the key escrow problem by joint authorization of data owners and attribute authority. …”
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