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on SAR and optical images, GPS, seismometer waveforms, and gravity measurements. Time series analysis of the SAR interferometry and other data is a key part of the research. We then infer the structure and
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more comprehensive, chromatic picture of stellar activity, focusing on building a sample of well-characterized active stars (high RV jitter) that are amenable to ultra-high signal-to-noise (SNR
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artificial intelligence (AI)-based imaging solution for applications in poultry meat. The project will focus on detecting and predicting key safety and quality attributes of poultry meat, such as foreign
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The project examines how drones, robotic dogs, imaging systems, and AI based methods can
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: The project focuses on the use of drones, robotic dogs, and imaging technologies
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targets for future NASA flagship direct imaging missions, as these are the prime candidates for directly imaging exo-Earths. Surveying these stars with ground-based extremely precise radial velocity (ERPV
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planetary image datasets. The science targets selected for discovery should be motivated by current, relevant questions that advance our understanding of planet surface dynamics and evolution. Candidates
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energy and to complete the census of all possible types of exoplanets in the Milky Way galaxy using wide-field imaging onto a very large, dense detector array. To accomplish this, the mission will
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. Description: The X-ray Imaging and Spectroscopy Mission (XRISM) is a JAXA/NASA collaborative mission with ESA participation, expected to launch in the fall of 2022. XRISM is capable of high-resolution, non
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products from airborne and space-borne imaging spectroscopy missions, e.g., the HyspIRI airborne campaigns, DESIS, HISUI, and Hyperion. This effort will also inform the science data processing architecture