Results 1 to 10 of about 170,941 (111)
IEEE Access, 2023 Point clouds are generated by light imaging, detection and ranging (LIDAR) scanners or depth imaging cameras, which capture the geometry from the scanned objects with high accuracy. Unfortunately, these systems are unable to identify the semantics of the
Eike Barnefske, Harald Sternberg
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Hyperparameter Optimization of Ensemble Models for Spam Email Detection
Applied Sciences, 2023 Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats to cybersecurity globally. More than half of the emails sent in 2021 were spam, resulting in huge financial losses.
Temidayo Oluwatosin Omotehinwa +1 more
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Remote Sensing, 2023 Spatial prediction of soil ammonia (NH3) plays an important role in monitoring climate warming and soil ecological health. However, traditional machine learning (ML) models do not consider optimal parameter selection and spatial autocorrelation. Here, we
Yingqiang Song +9 more
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Mathematics, 2023 (1) Background: sentiment analysis is a computational technique employed to discern individuals opinions, attitudes, emotions, and intentions concerning a subject by analyzing reviews.
Ewen Hokijuliandy +2 more
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Barekeng, 2023 The growth of news articles on the internet occurs in a short period with large amounts so necessary to be grouped into several categories for easy access. There is a method for grouping news articles, namely classification.
Dewi Retno Sari Saputro, Krisna Sidiq
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Prediction of Vestibular Dysfunction by Applying Machine Learning Algorithms to Postural Instability
Frontiers in Neurology, 2020 Objective: To evaluate various machine learning algorithms in predicting peripheral vestibular dysfunction using the dataset of the center of pressure (COP) sway during foam posturography measured from patients with dizziness.Study Design: Retrospective ...
Teru Kamogashira +5 more
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A hierarchical optimisation framework for pigmented lesion diagnosis
CAAI Transactions on Intelligence Technology, 2022 The study of training hyperparameters optimisation problems remains underexplored in skin lesion research. This is the first report of using hierarchical optimisation to improve computational effort in a four‐dimensional search space for the problem. The
Audrey Huong +3 more
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Sensors, 2023 Semantic segmentation with deep learning networks has become an important approach to the extraction of objects from very high-resolution remote sensing images.
Jia Song, A-Xing Zhu, Yunqiang Zhu
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A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT
Sensors, 2023 Most penalized maximum likelihood methods for tomographic image reconstruction based on Bayes’ law include a freely adjustable hyperparameter to balance the data fidelity term and the prior/penalty term for a specific noise–resolution tradeoff.
Yongfeng Gao +7 more
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Hyperparameter-Optimization-Inspired Long Short-Term Memory Network for Air Quality Grade Prediction
Information, 2023 In the world, with the continuous development of modern society and the acceleration of urbanization, the problem of air pollution is becoming increasingly salient. Methods for predicting the air quality grade and determining the necessary governance are
Dushi Wen +5 more
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