WHEN IT COMES TO EARTH OBSERVATIONS IN AI FOR DISASTER RISK REDUCTION, IS IT FEAST OR FAMINE? A TOPICAL REVIEW

When it comes to Earth observations in AI for disaster risk reduction, is it feast or famine? A topical review

Earth observations (EOs) have successfully been used to train artificial intelligence (AI)-based models in the field of disaster risk reduction (DRR) contributing to tools such as disaster early warning systems.Given the number of in situ and remote (e.g.radiosonde/satellite) monitoring devices, there is a common perception that there are no limits

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Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing

Towards the objectives of the UnitedStates Food and Drug Administration (FDA) generic drug science and research program, it is Spoon of vital importance in developing product-specific guidances (PSGs) with recommendations that can facilitate and guide generic product development.To generate a PSG, the assessor needs to retrieve supportive informati

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Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives

Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor (SVF) and Green View Index (GVI), but (1) approaches and terminology differ across fields such as planning, transportation and climate, potentially causing inconsistencies; (2) it is unknown whether the regularly used panoramic imagery is actually essential for su

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The Structure of Islamic Ethics: A New Approach

Muslim scholars have viewed the subject of ethics from different perspectives and have addressed different and sometimes scattered propositions in this regard; They are different in how they have entered into and concluded the issue, and are particularly different in their views with regards COMBO STRAW BENT to the sole dependence on intellect or t

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A New Solar Radiation Model for a Power System Reliability Study

The dwindling number of conventional power resources and its environmental impact has motivated a transition to renewable energy sources, such as solar power.Evaluating the reliability of solar power integration into power networks can help decision makers gauge the feasibility of their solar power projects.However, the stochastic and non-stationar

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