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[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …
Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …
potential to address major societal problems, including sustainability. Degradation of the …
Artificial intelligence: a survey on evolution, models, applications and future trends
Y Lu - Journal of Management Analytics, 2019 - Taylor & Francis
Artificial intelligence (AI) is one of the core drivers of industrial development and a critical
factor in promoting the integration of emerging technologies, such as graphic processing …
factor in promoting the integration of emerging technologies, such as graphic processing …
A systematic literature review on lake water level prediction models
Global climate change has led to large fluctuations in lake levels in recent years as
meteorological and hydrological parameters have changed and water use has been …
meteorological and hydrological parameters have changed and water use has been …
[HTML][HTML] Hybridization of artificial intelligence models with nature inspired optimization algorithms for lake water level prediction and uncertainty analysis
In the present study, an improved adaptive neuro fuzzy inference system (ANFIS) and
multilayer perceptron (MLP) models are hybridized with a sunflower optimization (SO) …
multilayer perceptron (MLP) models are hybridized with a sunflower optimization (SO) …
A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term …
R Tan, Y Hu, Z Wang - Environmental Modelling & Software, 2023 - Elsevier
An accurate prediction of lake water levels is of great significance to water resource
regulation, flood prevention and mitigation. However, water level fluctuations have been …
regulation, flood prevention and mitigation. However, water level fluctuations have been …
Lake water-level fluctuation forecasting using machine learning models: a systematic review
Lake water-level fluctuation is a complex and dynamic process, characterized by high
stochasticity and nonlinearity, and difficult to model and forecast. In recent years …
stochasticity and nonlinearity, and difficult to model and forecast. In recent years …
Delineation of isotopic and hydrochemical evolution of karstic aquifers with different cluster-based (HCA, KM, FCM and GKM) methods
In this work, a combination of isotopic and hydrogeochemical data of a karstic region was
clustered with four distinct clustering analysis (CA) methods to study water evolution in a …
clustered with four distinct clustering analysis (CA) methods to study water evolution in a …
Floodplain lake water level prediction with strong river-lake interaction using the ensemble learning LightGBM
Timely and accurate prediction of water levels is crucial for managing floodplain lakes with
important ecosystem services, especially for flood prevention. Floodplain lakes are …
important ecosystem services, especially for flood prevention. Floodplain lakes are …
Map** shoreline change using machine learning: a case study from the eastern Indian coast
The continuous shift of shoreline boundaries due to natural or anthropogenic events has
created the necessity to monitor the shoreline boundaries regularly. This study investigates …
created the necessity to monitor the shoreline boundaries regularly. This study investigates …