Results 31 to 40 of about 37,745 (280)
Dizhen xuebao, 2020 为了快速、高效地从地震数据中识别地震事件和拾取震相，本文利用基于样本增强的卷积神经网络自动震相拾取方法，将西藏林芝地区L0230台站3个月数据作为训练集，该区内另外6个台站连续1个月的波形数据作为测试集，采用高斯噪声、随机噪声拼接、随机挑选噪声、随机截取地震事件等4种样本增强的方法扩增训练集，以提高自动震相拾取技术的准确率。结果显示：样本增强前模型在测试集上的地震事件识别准确率为80%，样本增强后提升至97%，表明样本增强有效地提高了模型的泛化性能和抗干扰能力；在0.5 s误差范围内 ...
An Li +4 more
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Micro-seismic events detection and its tectonic implications in Northeastern Hainan Province
Frontiers in Earth Science, 2023 In this paper, we combine the U-net-based phase picking method (PhaseNet) with Graphics Processing Unit-Based Match and Locate technology (GPU-M&L) and a deep-learning-based seismic signal de-noising method (DeepDenoiser) as a workflow for ...
Zeyu Ma +5 more
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Frontiers in Earth Science, 2023 Accurate detection of P-wave arrivals has important applications in real-time seismic data processing, such as earthquake monitoring and earthquake early warning. The Sichuan and Yunnan regions, where the China Seismic Experimental Site (CSES) is located,
Boren Li +6 more
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Developing Deep Learning Tools in Earthquake Detection and Phase Picking
, 2023 With the rapid growth of seismic data volumes, traditional automated processing methods, which have been in use for decades, face increasing challenges in handling these data, especially in noisy environments.
Mai, Hao
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Better Together: Ensemble Learning for Earthquake Detection and Phase Picking
IEEE Transactions on Geoscience and Remote Sensing, 2023 The detection and picking of seismic waves is the first step toward earthquake catalog building, earthquake mon- itoring, and seismic hazard management. Recent advances in deep learning have leveraged the amount of labeled seismic data to improve the capability of detecting and picking earthquake signals.
Congcong Yuan +3 more
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Integral assessment of football team tactics
Слобожанський науково-спортивний вісник, 2023 The purpose of the research was to develop a methodology of control and determine the indicators of integral assessment of competitive performance by various tactical game models of highly qualified football club teams. Material and methods.
Viktor Kostiukevych +7 more
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PLoS ONE, 2023 BackgroundHospital health care workers (HCW) are at increased risk of contracting SARS-CoV-2. We investigated whether certain behavioral and physical features, e.g.
A H Ayesha Lavell +5 more
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Seismicity‐Scanning Based on Navigated Automatic Phase‐Picking [PDF]
Journal of Geophysical Research: Solid Earth, 2019 AbstractWe propose a new method, named Seismicity‐Scanning based on Navigated Automatic Phase‐picking (S‐SNAP), that is capable of delineating complex spatiotemporal distributions of seismicity. This novel algorithm takes a cocktail approach that combines source scanning, kurtosis‐based phasepicking, and the maximum intersection location technique into
Fengzhou Tan +3 more
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, 2021 Estimasi Hiposenter dilakukan pada beberapa kejadian gempa lokal di Lengan atas Pulau Sulawesi. Prosesnya dilakukan dengan memanfaatkan data waktu tiba gelombang P dan S yang didapatkan melalui automated phase picking.
Yekti Widyaningrum +5 more
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Effect of Planting and Harvesting Dates on the Physiological Characteristics of Cotton-Seed Quality [PDF]
Journal of Plant Production, 2021 Cotton is grown intentionally for fiber and oil, so that cotton-seed quality has economic importance for its products quality. Data about cotton-seed quality is limited. Experimental carried out during 2020-2021 seasons at Mallawi Research Station, Plant
S. Hamoda, Alshaimaa Ibrahim
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