Potential of artificial intelligence-based techniques for rainfall forecasting in Thailand: A comprehensive review
M Waqas, UW Humphries, A Wangwongchai… - Water, 2023 - mdpi.com
Rainfall forecasting is one of the most challenging factors of weather forecasting all over the
planet. Due to climate change, Thailand has experienced extreme weather events, including …
planet. Due to climate change, Thailand has experienced extreme weather events, including …
Mean–variance portfolio optimization using machine learning-based stock price prediction
W Chen, H Zhang, MK Mehlawat, L Jia - Applied Soft Computing, 2021 - Elsevier
The success of portfolio construction depends primarily on the future performance of stock
markets. Recent developments in machine learning have brought significant opportunities to …
markets. Recent developments in machine learning have brought significant opportunities to …
Short-term rainfall forecasting using machine learning-based approaches of PSO-SVR, LSTM and CNN
Short-term rainfall forecasting plays an important role in hydrologic modeling and water
resource management problems such as flood warning and real time control of urban …
resource management problems such as flood warning and real time control of urban …
Forecast of rainfall distribution based on fixed sliding window long short-term memory
Applying data mining techniques for rainfall modeling because of a lack of sufficient memory
components may increase uncertainty in rainfall forecasting. To solve this issue, in this …
components may increase uncertainty in rainfall forecasting. To solve this issue, in this …
[HTML][HTML] A review on rainfall forecasting using ensemble learning techniques
S Kundu, SK Biswas, D Tripathi, R Karmakar… - e-Prime-Advances in …, 2023 - Elsevier
Significant challenges to human health and life have arisen as a result of heavy rains.
Floods and other natural disasters that affect people all over the world every year are …
Floods and other natural disasters that affect people all over the world every year are …
Yin-Yang firefly algorithm based on dimensionally Cauchy mutation
Firefly algorithm (FA) is a classical and efficient swarm intelligence optimization method and
has a natural capability to address multimodal optimization. However, it suffers from …
has a natural capability to address multimodal optimization. However, it suffers from …
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
Anthropogenic activities affect the water bodies and result in a drastic reduction of river
water quality (WQ). The development of a reliable intelligent model for evaluating the …
water quality (WQ). The development of a reliable intelligent model for evaluating the …
Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA
Temporal changes of the global surface temperature have been used as a prominent
indicator of global climate change; therefore, making dependable forecasts underlies the …
indicator of global climate change; therefore, making dependable forecasts underlies the …
Groundwater prediction using machine-learning tools
Predicting groundwater availability is important to water sustainability and drought
mitigation. Machine-learning tools have the potential to improve groundwater prediction …
mitigation. Machine-learning tools have the potential to improve groundwater prediction …
AIS-based intelligent vessel trajectory prediction using bi-LSTM
CH Yang, CH Wu, JC Shao, YC Wang… - IEEE Access, 2022 - ieeexplore.ieee.org
Accurate vessel trajectory prediction is essential for maritime traffic control and
management. In addition to collision avoidance, accurate vessel trajectory prediction can …
management. In addition to collision avoidance, accurate vessel trajectory prediction can …