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Large-scale annotation dataset for fetal head biometry in ultrasound images
Published 2023“…For enhanced compatibility and usability, the dataset is available in 11 universally accepted formats, including Cityscapes, YOLO, CVAT, Datumaro, COCO, TFRecord, PASCAL, LabelMe, Segmentation mask, OpenImage, and ICDAR. This broad range of formats ensures adaptability for various computer vision tasks, such as classification, segmentation, and object detection. …”
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Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review
Published 2025“…Editorials, expert opinions, conference papers, dataset publications, and studies that did not have a clear clinical application of the AI algorithm were excluded.</p><h3>Results</h3><p dir="ltr">345 articles were identified, following abstract and full-text review by two independent reviewers, 18 manuscripts were included. …”
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Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
Published 2024“…This study employed supervised learning algorithms to classify stress and relaxation states using HRV measures. …”
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Improving INS/GPS Integration for Mobile Robotics Applications
Published 2008Get full text
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Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system
Published 2018“…In this paper, four algorithms are proposed for the OCR stage of a real-time HD ANPR system. …”
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Scan Test Cost and Power Reduction Through Systematic Scan Reconfiguration
Published 0000“…The architecture and the algorithm were applied to both single stuck as well as transition fault test sets…”
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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
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50
Single-channel speech denoising by masking the colored spectrograms
Published 2025“…<p>Speech denoising (SD) covers the algorithms that remove the background noise from the target speech and thus improve its quality and intelligibility. …”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
Published 2021“…A bagged Clustering algorithm was employed to identify the number of clusters, then the C-Means algorithm and the Pamk algorithm were implemented to validate the results. …”
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Enhancing resilience in the liquefied natural gas supply chain: A focus on chemical supply continuity
Published 2024“…Utilizing the K-means clustering algorithm, we categorize these supplies and pinpoint the most critical ones. …”
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. The proposed algorithm achieved high classification accuracy, 97.22%, 99.31%, and 95.83% for GM, WM, and CSF regions, respectively. …”
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Local convexity preserving rational cubic spline curves
Published 1997“…A particular scheme is suggested which selects the tangent vectors required at each interpolation point for generating a curve. An algorithm is presented which constructs a curve by interpolating the given data points. …”
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Information warfare recovery-fighting back through the matrix. (c2012)
Published 2012Get full text
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An integrated partitioning and synthesis system for dynamically reconfigurable Multi-FPGA architectures
Published 2017“…This paper presents an overview of SPARCS and the various algorithms used in the system, along with a brief description of how a JPEG-like image compression algorithm is mapped to a Multi-FPGA board using SPARCS.…”
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Exploring the System Dynamics of Covid-19 in Emergency Medical Services
Published 2022“…Furthermore, the model allows for the identification of the variables that influence response time across different segments of the emergency response process: dispatch, wheeling, and roadway times. …”
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58
Big Data Energy Management, Analytics and Visualization for Residential Areas
Published 2020“…Utilizing the same common communication infrastructure, it also allows the utilities on different consumption levels (community, state, country) to monitor and visualize the energy consumption in their respective grid segments on daily, monthly, and yearly basis. A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …”
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Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels
Published 2023“…<p dir="ltr">Although the effect of hyperparameters on algorithmic outputs is well known in machine learning, the effects of hyperparameters on information systems that produce user or customer segments are relatively unexplored. …”
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Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
Published 2019“…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …”
