Application of a Soft-Switching Adaptive Kalman Filter for Over-Range Measurements in a Low-Frequency Extension of MHD Sensors by Junze Tong, Shaocen Shi, Fuchao Wang, Dapeng Tian

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Current status and prospects of computer vision-based attitude and deformation measurement applications in wind tunnels by Xiang Xiangyi, Wang Shuai, Cheng Xu, Zhang Jiang, Meng Fanwu

“…However, the specific conditions of wind tunnel environments impose certain limitations on the practical applications of visual measurement techniques. In response to the intelligent demands of wind tunnel tests, this paper summarizes applications for model attitude and deformation measurement in wind tunnels. …”
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Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification by Hang Yanping, Zheng Haixia, Yang Minmin, Wang Nan, Kong Miaomiao, Zhao Mingming

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Applications of Machine Learning for Wine Recognition Based on ¹H-NMR Spectroscopy by Ariana Raluca Hategan, Adrian Pirnau, Dana Alina Magdas

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Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis by Agostino Marengo, Vito Santamato

“…This approach revealed two primary research directions: (1) quantum computing for artificial intelligence in healthcare, and (2) quantum computing for healthcare data security. We highlight the theoretical advances underlying these domains, from novel quantum machine learning algorithms for biomedical data to quantum cryptographic protocols for securing medical information. …”
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PCA-FSA-MLR Model and Its Application in Runoff Forecast by GUO Cunwen, CUI Dongwen

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The application research of ancient calligraphy recognition model based on improved filtering and AI technology in calligraphy education in colleges and universities by Xing You

“…The recognition model will filter and denoise the input image data, open and close calculation, binarization, data amplification and skeletonization. …”
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Application of oil and gas pipeline network simulation technologies in construction of intelligent pipeline network and its prospect by Jing GONG, Bohui SHI, Xiaoping LI, Weichao YU, Haihao WU

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Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study by Elnaz Azmi, Khadijeh Alibabaei, Valentin Kozlov, Tjerk Krijger, Gabriele Accarino, Sakina-Dorothée Ayata, Amanda Calatrava, Marco Mariano De Carlo, Wout Decrop, Donatello Elia, Sandro Luigi Fiore, Marco Francescangeli, Jean-Olivier Irisson, Rune Lagaisse, Martin Laviale, Antoine Lebeaud, Carolin Leluschko, Enoc Martínez, Germán Moltó, Igor Ruiz Atake, Antonio Augusto Sepp Neves, Damian Smyth, Jesús Soriano-González, Muhammad Arabi Tayyab, Vanessa Tosello, Álvaro López García, Dick Schaap, Gergely Sipos

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A secure routing protocol for improving the energy efficiency in wireless sensor network applications for industrial manufacturing by Edeh Michael Onyema, S. Kanimozhi Suguna, B. Sundaravadivazhagan, Rutvij H. Jhaveri, Ugwuja Nnenna Esther, Edeh Chinecherem Deborah, K. Shantha Kumari

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Sentiment Analysis of Online Vehicle Tax Renewal Application Users Using Support Vector Machine Algorithm by Muhamad Ilham Fauzy, Ferian Fauzi Abdulloh

“…The data was collected from user reviews on the Google Play Store for three major applications: New Sakpole, Sapawarga, and Timsalut. …”
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Rapid modeling and 3D matching of GB InSAR landslide emergency monitoring: Method and application by Keli ZHANG, Aimin YAO, Jianquan ZHANG, Yulei YAN, Hongnan QIN

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An Improved Multi-Imputation Technique Based on Chained Equations and Decision Trees: Application to Wind Energy Conversion Systems by JAFFEL, I., GUERFEL, M., MESSAOUD, H.

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Clustering Countries of the World Based on the Trend of the COVID-19 Incidence: An application of shape-based k-means algorithm by Arefeh Dehghani Tafti, Yunes Jahani, Sara Jambarsang, Abbas Bahrampour

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AnywhereXR: on-the-fly 3D environments as a basis for open source immersive digital twin applications by Alexander Klippel, Bart Knuiman, Jiayan Zhao, Jan Oliver Wallgrün, Jascha Grübel

“…Utilizing the Netherlands as our starting point, we envision expanding this methodology worldwide, leveraging open data and software to address pressing societal challenges across diverse domains.HighlightsLightweight creation of high-fidelity, object-based 3D environments on-the-fly based on public data sets3D environments suitable for creating interactive and adaptble immersive experiences through AR and VRConnections to digital twin applicationsEvaluation and case studyEnable futuring and co-design using immersive digital twins…”
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Data‐driven guidelines for phylogenomic analyses using SNP data by Jacob S. Suissa, Gisel Y. De La Cerda, Leland C. Graber, Chloe Jelley, David Wickell, Heather R. Phillips, Ayress D. Grinage, Corrie S. Moreau, Chelsea D. Specht, Jeff J. Doyle, Jacob B. Landis

“…We compared branch length, node support, and divergence time estimation across 16 datasets with varying amounts of missing data and total size. Results Our results revealed five aspects of phylogenomic data usage that may be generally applicable: (1) tree topology is largely congruent across analyses; (2) filtering strictly for SNP retention (e.g., 90–100%) reduces support and can alter some inferred relationships; (3) absolute branch lengths vary by two orders of magnitude between SNP and locus datasets; (4) data type and branch length variation have little effect on divergence time estimation; and (5) phylograms alter the estimation of ancestral states and rates of morphological evolution. …”
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Comparative analysis of selected aspects of web application architectures by Łukasz Krzysztoń, Konrad Łatwiński, Małgorzata Plechawska-Wójcik

“…The article presents a comparative analysis of two web application architectures: microservices and modular monoliths. …”
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Analysis of Real-Time Applications Feasibility through Simulation by S. N. Baranov, V. V. Nikiforov

“…The overall structure of a simulation tool for estimation of the task response time (and therefore, application feasibility) is described, which provides more exact data compared to the known analytical methods where they are applicable. …”
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Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions by Lakin Wecker, John Hall, Faramarz F. Samavati

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A Data-Driven Method for Determining DRASTIC Weights to Assess Groundwater Vulnerability to Nitrate: Application in the Lake Baiyangdian Watershed, North China Plain by Xianglong Hou, Liqin Peng, Yuan Zhang, Yan Zhang, Yunxia Wang, Wenzhao Feng, Hui Yang

“…Therefore, the determination of rating scores and weights of parameters has become the main difficulty in DRASTIC applications. In this paper, a new data-driven weighting method based on Monte Carlo or genetic algorithm was developed. …”
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