Revolutionizing Ophthalmic Care: The Impact of Artificial Intelligence by L. Subha, Atul Sharma, Anita Misra

“…Deep learning, an emerging facet of machine learning (ML), can uncover complex data structures without explicit rule specifications. …”
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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…Additionally, the application of ensemble learning methods on complex and large-scale logistics data structures is unique in terms of its contribution to the literature. …”
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An Oseen Two-Level Stabilized Mixed Finite-Element Method for the 2D/3D Stationary Navier-Stokes Equations by Aiwen Wang, Xin Zhao, Peihua Qin, Dongxiu Xie

“…Firstly, in contrast to other stabilized methods, they are parameter free, no calculation of higher-order derivatives and edge-based data structures, implemented at the element level with minimal cost. …”
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Research on Network Resource Collection and Distribution Strategies in Big Data-Driven Multimedia Teaching by Jianping Han

“…This model uses distributed data sets to replace the previous data structures and solve some problems in the process of data integration, thereby significantly improving the computation efficiency and reducing resource usage. …”
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Towards Sensor-Based Health Monitoring Systems for Bridge Decks: A Full-Depth Precast Deck Panels Case Study by Osama Y. Abudayyeh, Joseph Barbera, Ikhlas Abdel-Qader, Hubo Cai, Eyad Almaita

“…The paper presents a practical case study that mainly focuses on describing the initial steps in the development of the sensor network system, namely, the design (system architecture and data structures) and construction along with examples of how the data is acquired, organized, presented, and analyzed, keeping in mind that the bridge is still early in its life-cycle and has not yet experienced any structural problems.…”
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A cell structure implementation of the multigrid method for the two-dimensional diffusion equation by Yongho Choi, Youngjin Hwang, Soobin Kwak, Seokjun Ham, Jyoti, Hyundong Kim, Junseok Kim

“…However, it is not easy for beginners to understand the implementation of the multigrid method due to its complex data structures and recursive routines. To resolve these difficulties, we develop a straightforward MATLAB implementation of the two-dimensional diffusion equation using a cell structure in MATLAB. …”
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Automating Risk Analysis of Software Design Models by Maxime Frydman, Guifré Ruiz, Elisa Heymann, Eduardo César, Barton P. Miller

“…To automate threat modeling two data structures are introduced, identification trees and mitigation trees, to identify threats in software designs and advise mitigation techniques, while taking into account specification requirements and cost concerns. …”
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Aggregate Queries in Wireless Sensor Networks by Jeong-Joon Kim, In-Su Shin, Yan-Sheng Zhang, Dong-Oh Kim, Ki-Joon Han

“…Also, BPA uses a bucket-based data structure in aggregate query processing, and divides and conquers the bucket data structure adaptively according to the number of data in the bucket. …”
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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…These help the encoder learn deeper data structures and more discriminative and generalized feature representations. …”
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Deep Learning-Based Post-Stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design by Tianzhe Bao, Zhiyuan Lu, Ping Zhou

“…In this paper, we delve into the potential of deep learning (DL) for post-stroke hand gesture recognition by collecting the sEMG signals of eight chronic stroke subjects, focusing on three primary aspects: feature domains of sEMG (time, frequency, and wavelet), data structures (one or two-dimensional images), and neural network architectures (CNN, CNN-LSTM, and CNN-LSTM-Attention). …”
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An Axial-Oriented Dual-Layer Indexing Structure for Tunnel Point Clouds by Hongyang Zhang, Qigui Yang, Quan Liu, Yinlong Jin, Gang Ma, Xin Meng

“…A fundamental challenge in tunnel point cloud processing is to efficiently manage massive datasets using appropriate data structures and accurately extract features such as tunnel axes and cross-sections. …”
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Informatization of construction production organization and operational management by V. V. Sokolnikov, M. V. Molodtsov

“…The conclusion is made about the formation of a unified information environment for the organization of construction production during construction and operational management through compatible algorithms, data structures and AWS interfaces based on a mathematical model that coordinates the algorithms for solving production problems and communication of key performers in terms of the parameters of the organization of construction production and operational management.…”
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Scaled Fenwick Trees by Matthew Cushman

“…A novel data structure that enables the storage and retrieval of linear array numeric data with logarithmic time complexity updates, range sums, and rescaling is introduced and studied. …”
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A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

“…These findings highlight the robustness and efficiency of ensemble learning algorithms, especially in handling complex, non-linear data structures. This study underscores the potential of RF and GB as reliable tools for early detection and classification of Alzheimer’s disease using neuropsychological data. …”
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Developing a Mobile Application-based System for Enhancing Medical Skill Training by TING-SHENG WENG, XUAN-REN CHEN

“…Client-side development utilized the Flutter framework, ensuring a consistent user experience across iOS and Android platforms.Results: We also designed complex data structures to accommodate testing and recording needs, including exam data, question types, and option records. …”
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Enhancing privacy and traceability of public health insurance claim system using blockchain technology by Andry Alamsyah, I. Putu Sadhu Setiawan

“…The physical data architecture provides a class diagram detailing data structures and actor relationships. A proof-of-concept prototype was developed to demonstrate the core functionalities of the new system.ResultsBy integrating blockchain technology, our prototype ensures authorized access, bolsters data privacy, and maintains data integrity in the NHI claim workflow. …”
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Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets by Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

“…However, such heterogeneous datasets can introduce further biases driven by data origin, as data structures and patient cohorts may differ between hospitals. …”
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A Fully Operational Framework for Handling Cellular Automata Templates by Mauricio Verardo, Pedro P. B. de Oliveira

“…The template data structure is defined, along with processes by which interesting templates can be built. …”
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How to structure data from an IoT monitoring network by Ziwen Yu

“…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
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How to structure data from an IoT monitoring network by Ziwen Yu

“…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
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