Results 81 to 90 of about 3,271,202 (325)
RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems
Air quality information such as the concentration of PM2.5 is of great significance for human health and city management. It affects the way of traveling, urban planning, government policies and so on.
Ruiyun Yu+4 more
semanticscholar +1 more source
Digital Technologies: Description, Classification, and Links to Circular Economy
ABSTRACT Digital technologies (DTs) and circular economy (CE) are currently two topics that are expected to contribute significantly to sustainable development, and digitization is generally considered a key enabler of CE. However, most studies only cover the most known Industry 4.0 technologies, and very limited research detailing how DTs can support ...
Laura Piedra‐Muñoz+3 more
wiley +1 more source
In order to enhance the understanding of the environmental field characteristics of the convective regeneration triggered by thunderstorm gust fronts.Based on Beijing sounding observation, automatic stations, S-band Doppler radar and new detection data ...
Na HE+5 more
doaj +1 more source
Using the Amazing atmosphere to Foster Student Learning and Interest in Meteorology
To engage students in active learning, the Oceanography Department at the United States Naval Academy developed a new, not-for-course-credit training activity for its students, the Severe Weather InField Training (SWIFT).
B. Barrett, John E Woods
semanticscholar +1 more source
ABSTRACT Big data analytical capabilities (BDAC) have emerged as a significant strategic tool for enhancing environmental performance in today's ever‐growing green and digital economy. However, the serial process through which BDAC influences environmental performance remains understudied, particularly in multinational corporations (MNCs).
Leul Girma Haylemariam+2 more
wiley +1 more source
Many statistical downscaling methods require observational inputs and expert knowledge and thus cannot be generalized well across different regions. Convolutional neural networks (CNNs) are deep-learning models that have generalization abilities for ...
Yingkai Sha+3 more
semanticscholar +1 more source
The Impact of Climate Change on the Performance of Agricultural Companies Worldwide
ABSTRACT This study examines the impact of climate change on agricultural firms, focusing on physical risks, both chronic (e.g., temperature and precipitation) and acute (e.g., droughts and floods). We conduct a panel data analysis of 19,929 companies in 69 countries across five continents from 2013 to 2021.
Karen Serrano+3 more
wiley +1 more source
Abstract The uneven ways in which climate change is taught (or not) within schools, and the uneven opportunities for students to experience justice‐oriented climate education, are curricular injustices. Recent systematic reviews of Climate Change Education literature note a depoliticising tendency in climate change education, with official curriculum ...
Eve Mayes+5 more
wiley +1 more source
An attempt was made to determine the rate of ETc and crop coefficients during various growth stages of bidi tobacco and pearl millet crops in central Gujarat by water balance approach.
B. KRISHNA RAO+6 more
doaj +1 more source
The MÉRA Data Extraction toolkit
Historical meteorological datasets are indispensable for forming climatic models and the generation of weather forecasts. Such data are core to the training phase of prediction models and may also be harnessed for hydrological and environmental models ...
Levent Görgü+7 more
doaj +1 more source