Artificial intelligence-based solutions for climate change: a review
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …
systems, and inducing global economic losses of over $500 billion. These issues may be …
The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models for predicting SO2 concentration
Nowadays air quality is the main issue in urban areas that have been affecting human
health, the environment, and the ecosystem. So, governmental authorities, environmental …
health, the environment, and the ecosystem. So, governmental authorities, environmental …
Artificial intelligence in pollution control and management: status and future prospects
Environmental pollution is becoming serious worldwide and remains a big challenge for
human beings in this century. Many countries and organizations are seeking solutions to this …
human beings in this century. Many countries and organizations are seeking solutions to this …
Deep transfer modeling for classification of maize plant leaf disease
Abstract Currently, Deep Learning is playing an influential role for Image analysis and object
classification. Maize's diseases reduce production that subsequently becomes prominent …
classification. Maize's diseases reduce production that subsequently becomes prominent …
A new multi-data-driven spatiotemporal PM2. 5 forecasting model based on an ensemble graph reinforcement learning convolutional network
X Liu, M Qin, Y He, X Mi, C Yu - Atmospheric Pollution Research, 2021 - Elsevier
Spatiotemporal PM2. 5 forecasting technology plays an important role in urban traffic
environment management and planning. In order to establish a satisfactory high-precision …
environment management and planning. In order to establish a satisfactory high-precision …
Landscape aesthetic quality assessment of forest lands: an application of machine learning approach
A Jahani, M Saffariha, P Barzegar - Soft computing, 2023 - Springer
Forests, with natural factors, provide visual aesthetic features, as a social ecosystem service
for human beings. Nowadays, forest managers are looking for decision support system tools …
for human beings. Nowadays, forest managers are looking for decision support system tools …
An application of artificial intelligence techniques in prediction of birds soundscape impact on tourists' mental restoration in natural urban areas
The characteristics of birds' sounds assume a primary role in tourists' mental restoration and
stress recovery. The aim of this research is the evaluation of birds' sound composition in …
stress recovery. The aim of this research is the evaluation of birds' sound composition in …
Applications of artificial intelligence in the field of air pollution: A bibliometric analysis
Background Artificial intelligence (AI) has become widely used in a variety of fields,
including disease prediction, environmental monitoring, and pollutant prediction. In recent …
including disease prediction, environmental monitoring, and pollutant prediction. In recent …
Aesthetic quality modeling of the form of natural elements in the environment of urban parks
S Aboufazeli, A Jahani, M Farahpour - Evolutionary Intelligence, 2024 - Springer
Assessing the aesthetic quality of the landscape, especially in natural ecosystems of urban
areas, with the aim of utilization management, can be an effective step towards optimal and …
areas, with the aim of utilization management, can be an effective step towards optimal and …
Assessing the effectiveness of artificial neural networks (ANN) and multiple linear regressions (MLR) in forcasting AQI and PM10 and evaluating health impacts …
Air pollution is one of the major concerns for the population and the environment due to its
hazardous effects. PM 10 has affected significant scientific and regulatory interest because …
hazardous effects. PM 10 has affected significant scientific and regulatory interest because …