Results 21 to 30 of about 770,289 (341)
Prediction of SAR and TDS parameters using LSTM- RNN model: A case study on Aran station, Iran [PDF]
Journal of Applied Research in Water and Wastewater, 2021 Surface water quality is of particular importance due to its drinking, industrial, and agricultural water sources. Changes in rainfall, temperature and river discharge can affect surface water quality.
Maryam Hafezparast Mavadat +1 more
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Indian Journal of Ophthalmology, 2021 Purpose: The aim of this study was to evaluate and compare the presence of SARS-CoV-2 in tears of patients with and without ocular symptoms in SARS-CoV-2 positive patients. Methods: The prospective observational study conducted on 60 consecutive SARS-CoV-
Prempal Kaur +4 more
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Open Geosciences, 2021 The repetitive and destructive nature of floods across the globe causes significant economic damage, loss of human lives, and leaves the people living in flood-prone areas with fear and insecurity.
Kuntla Sai Kiran
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Human Health Risk Assessment of 4-12 GHz Radar Waves using CST STUDIO SUITE Software [PDF]
Journal of Biomedical Physics and Engineering, 2022 Background: The application of radar systems in telecommunications and aerospace science is important. However, engineering department’s staff various tissues are always under chronic radiation generated by the radar fields which may affect health ...
Farshad Fereidouni +3 more
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Urban Features Identification from Dual-Pol SAR Images with Filter Properties
Journal of Landscape Ecology, 2020 There is no formal definition of feature identification but it depends on the application and context of the problem. This feature acts as primary elements for execution of several algorithms, hence feature identification is one of the significant steps ...
Kumar Aman, Kumar Deepak
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Remote Sensing, 2019 Radar altimetry in the context of sea ice has mostly been exploited to retrieve basin-scale information about sea ice thickness. In this paper, we investigate the sensitivity of altimetric waveforms to small-scale changes (a few hundred meters to about ...
Wiebke Aldenhoff +2 more
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Remote Sensing, 2020 Ship detection in synthetic aperture radar (SAR) images is becoming a research hotspot. In recent years, as the rise of artificial intelligence, deep learning has almost dominated SAR ship detection community for its higher accuracy, faster speed, less ...
Tianwen Zhang +10 more
semanticscholar +1 more source
DAMPAK UPAH MINIMUM TERHADAP PENYERAPAN TENAGA KERJA SEKTOR FORMAL DAN INFORMAL: ANALISIS SPASIAL
Jurnal Ekonomi-Qu, 2019 There is possibility of bias in previous study about impact of minimum wages on labor absorption in formal and informal sectors because it has not yet accommodated the spatial effects of inter-regional labor market dependencies.
Muh. Nuhradi, Diah Widyawati
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A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
Remote Sensing, 2019 With the launch of space-borne satellites, more synthetic aperture radar (SAR) images are available than ever before, thus making dynamic ship monitoring possible.
Yuanyuan Wang +4 more
semanticscholar +1 more source
SAR Image Despeckling Using a Convolutional Neural Network [PDF]
IEEE Signal Processing Letters, 2017 Synthetic aperture radar (SAR) images are often contaminated by a multiplicative noise known as speckle. Speckle makes the processing and interpretation of SAR images difficult.
Puyang Wang, He Zhang, Vishal M. Patel
semanticscholar +1 more source