Zobrazeno 1 - 10 of 29 pro vyhledávání: '"Parag Rastogi"'
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Akademický článek
Projected climate data for building design: barriers to use
Autor: Parag Rastogi, Ariane Laxo, L. DeWayne Cecil, Daniel Overbey
Publikováno v: Buildings & Cities, Vol 3, Iss 1 (2022)
Building professionals’ use of historical weather data in performance analysis and design is an insufficient response to the impacts of a changing climate. Existing standards, laws and conventions in the US (and elsewhere) reinforce the use of typi
Externí odkaz: https://doaj.org/article/fb646119f1dc47ba927c7e7b914113c9
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2
Evaluating the haematological and inflammatory markers in predicting the clinical outcome of COVID-19 patients admitted in a tertiary care hospital of Northern India
Autor: Ankita Tripathi, Roshni Agarwal, Parag Rastogi, Rohini Srivastava, Sharad Kumar, Silvi Batham, Shlok Shukla
Publikováno v: International journal of health sciences. :7160-7168
Infection with the SARS-CoV-2 virus induces coagulation and stimulates the innate immune system. In ICU patients with COVID-19, nothing is known regarding coagulopathy and the response of inflammation and infection. The effects of SARS-CoV-2 infectio
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6697114dacfdfe3e6cc4fc263e1cc706
https://doi.org/10.53730/ijhs.v6ns1.6542
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3
Evaluating the suitability of regression-based emulators of building performance in practice: a test suite
Autor: Mohammad Emtiyaz Khan, Parag Rastogi, Marilyne Andersen
Publikováno v: Journal of Building Performance Simulation. 15:488-506
Building Performance Simulation (BPS), a useful tool to assess the operational performance of buildings and systems, can often be computationally expensive. The use of BPS is cumbersome for problems where the speed of response is important, e.g. real
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ac8cf3a6bddc5ba5469424c13d3048a
https://doi.org/10.1080/19401493.2021.1969430
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6
Stock Market Prediction Framework Based on the Fruit Fly Optimization Method
Autor: Parag Rastogi
Publikováno v: International Journal of Engineering and Advanced Technology. 9:957-961
Stock market prediction helps investors in decision-making process of investment to achieve profit. Recently, the deep learning method shows the significant performance in the stock market prediction. These deep learning models have the drawback of o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de503e34d86d9972fb829450d6130f80
https://doi.org/10.35940/ijeat.d7590.049420
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Plný text Recenzováno Digitální knihovna AV ČR
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