Monthly climate prediction using deep convolutional neural network and long short-term memory
Q Guo, Z He, Z Wang - Scientific Reports, 2024 - nature.com
Climate change affects plant growth, food production, ecosystems, sustainable socio-
economic development, and human health. The different artificial intelligence models are …
economic development, and human health. The different artificial intelligence models are …
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …
in different problems having different characteristics. Six ML approaches including Artificial …
Prediction of hourly air temperature based on CNN–LSTM
J Hou, Y Wang, J Zhou, Q Tian - Geomatics, Natural Hazards and …, 2022 - Taylor & Francis
The prediction accuracy of hourly air temperature is generally poor because of random
changes, long time series, and the nonlinear relationship between temperature and other …
changes, long time series, and the nonlinear relationship between temperature and other …
Current scenario of solar energy applications in Bangladesh: techno-economic perspective, policy implementation, and possibility of the integration of artificial …
Bangladesh is blessed with abundant solar resources. Solar power is considered the most
desirable energy source to mitigate the high energy demand of this densely populated …
desirable energy source to mitigate the high energy demand of this densely populated …
Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
Solar energy serves as a great alternative to fossil fuels as they are clean and renewable
energy. Accurate solar radiation (SR) prediction can substantially lower down the impact …
energy. Accurate solar radiation (SR) prediction can substantially lower down the impact …
Ecology & computer audition: Applications of audio technology to monitor organisms and environment
Abstract Among the 17 Sustainable Development Goals (SDGs) proposed within the 2030
Agenda and adopted by all the United Nations member states, the 13th SDG is a call for …
Agenda and adopted by all the United Nations member states, the 13th SDG is a call for …
Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world
J Zhou, D Wang, SS Band, E Mirzania… - … of Computational Fluid …, 2023 - Taylor & Francis
Precisely forecasting air temperature as a significant meteorological parameter has a critical
role in environment quality management. Hence, this study employs a hybrid intelligent …
role in environment quality management. Hence, this study employs a hybrid intelligent …
Real-time pavement temperature prediction through ensemble machine learning
Pavement temperature is crucial for assessing asphalt pavement's performance and
structural integrity due to its viscoelastic behavior. Currently, asphalt temperature prediction …
structural integrity due to its viscoelastic behavior. Currently, asphalt temperature prediction …
Recurrent neural network modeling of multivariate time series and its application in temperature forecasting
EA Nketiah, L Chenlong, J Yingchuan, SA Aram - Plos one, 2023 - journals.plos.org
Temperature forecasting plays an important role in human production and operational
activities. Traditional temperature forecasting mainly relies on numerical forecasting models …
activities. Traditional temperature forecasting mainly relies on numerical forecasting models …
Real-time measurement of total nitrogen for agricultural runoff based on multiparameter sensors and intelligent algorithms
Real-time monitoring of non-point source (NPS) pollution is challenging owing to the minute-
scale change in runoff flow and concentration under rainfall condition. In this study, we …
scale change in runoff flow and concentration under rainfall condition. In this study, we …