Results 151 to 160 of about 23,698,312 (402)
Engineering Reports, Volume 4, Issue 12, December 2022., 2022 Through silicon vias are a key enabling technology for interconnection and realization of complex three‐dimensional integrated circuit components. A combined x‐ray microscopy and deep learning object detection workflow for automatic micrometer accurate defect location on liner‐TSVs was developed in this work by developing proper scan recipes and a ...
Benedikt Christopher Wolz +5 more
wiley +1 more source
International Journal of Coastal and Offshore Engineering, 2018 The coastline is defined as an edge or land margin by the sea. Managing such ecological environments in terms of continuous changes requires monitoring at different intervals.
Hasan Mirsane +3 more
doaj
Remote Sensing, 2020 Crop classification provides relevant information for crop management, food security assurance and agricultural policy design. The availability of Sentinel-1 image time series, with a very short revisit time and high spatial resolution, has great ...
María Arias +2 more
doaj +1 more source
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images [PDF]
arXiv, 2022 Reducing speckle and limiting the variations of the physical parameters in Synthetic Aperture Radar (SAR) images is often a key-step to fully exploit the potential of such data. Nowadays, deep learning approaches produce state of the art results in single-image SAR restoration.
arxiv
Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications
Advanced Materials, EarlyView.Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach +4 more
wiley +1 more source
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series
Remote Sensing, 2020 The Synthetic Aperture Radar (SAR) time series allows describing the rice phenological cycle by the backscattering time signature. Therefore, the advent of the Copernicus Sentinel-1 program expands studies of radar data (C-band) for rice monitoring at ...
Hugo Crisóstomo de Castro Filho +9 more
semanticscholar +1 more source
Land Cover Classification using Sentinel-1 Radar Mission Interferometry [PDF]
, 2017 Synthetic Aperture Radar (SAR) has been widely used for many years in the field of remote sensing. SAR has valuable contribution due to its ability to provide complementary information to optical systems, penetration of radar waves through volumetric ...
Arsalan-Ul-Haque, Muhammad
core
Advanced Science, EarlyView.In the context of chronic hyperglycemia, a DDR is initiated, leading to the pathological activation of DNA‐PKcs in the diabetic heart. This activated DNA‐PKcs directly interacts with and phosphorylates YAP1 at Thr226, thereby increasing the nuclear expression of YAP1.
Junyan Wang +10 more
wiley +1 more source
Epilepsia Open, EarlyView., 2022 Abstract The International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force initiated the TASK3 working group to create common data elements (CDEs) for various aspects of preclinical epilepsy research studies, which could help improve the standardization of experimental designs.
Eleonora Aronica +6 more
wiley +1 more source
Remote Sensing, 2017 Snow depth is a general input variable in many models of agriculture, hydrology, climate, and ecology. However, there are some uncertainties in the retrieval of snow depth by remote sensing.
Yang Liu +4 more
doaj +1 more source