[HTML][HTML] COVID-19 in the age of artificial intelligence: a comprehensive review
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China,
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 …
[HTML][HTML] Application of artificial intelligence-based regression methods in the problem of COVID-19 spread prediction: a systematic review
J Musulin, S Baressi Šegota, D Štifanić… - International journal of …, 2021 - mdpi.com
COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
the daily lives of billions of people worldwide. Therefore, many efforts have been made by …
[HTML][HTML] Short-term prediction of COVID-19 cases using machine learning models
The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on
8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July …
8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July …
Data-driven appraisal of renewable energy potentials for sustainable freshwater production in Africa
Clean water scarcity plagues several hundred million people worldwide, representing a
major global problem. Nearly half of the total population lacking access to safe and …
major global problem. Nearly half of the total population lacking access to safe and …
Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
RKM Malhi, A Anand, PK Srivastava… - Advances in Space …, 2022 - Elsevier
Spatially explicit measurement of Above Ground Biomass (AGB) is crucial for the
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …
quantification of forest carbon stock and fluxes. To achieve this, an integration of Optical and …
Exploring the applications of machine learning in healthcare
TJ Saleem, MA Chishti - International Journal of Sensors …, 2020 - ingentaconnect.com
The rapid progress in domains like machine learning, and big data has created plenty of
opportunities in data-driven applications particularly healthcare. Incorporating machine …
opportunities in data-driven applications particularly healthcare. Incorporating machine …
Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques
In the era of climate change, monitoring and effective retrieval of soil, water bodies,
vegetation parameters etc. are of utmost importance which is successfully being executed …
vegetation parameters etc. are of utmost importance which is successfully being executed …
[图书][B] GPS and GNSS Technology in Geosciences
GP Petropoulos, PK Srivastava - 2021 - books.google.com
GPS and GNSS Technology in Geosciences offers an interdisciplinary approach to applying
advances in GPS/GNSS technology for geoscience research and practice. As GPS/GNSS …
advances in GPS/GNSS technology for geoscience research and practice. As GPS/GNSS …
[HTML][HTML] A Bayesian belief network-based analytics methodology for early-stage risk detection of novel diseases
During a pandemic, medical specialists have substantial challenges in discovering and
validating new disease risk factors and designing effective treatment strategies …
validating new disease risk factors and designing effective treatment strategies …
Neural net time series forecasting framework for time-aware web services recommendation
Abstract The convergence of Social Mobility Analytics and Cloud (SMAC) technologies
resulted in an unexpected upsurge of web services on the internet. The flexibility and rental …
resulted in an unexpected upsurge of web services on the internet. The flexibility and rental …