Artificial intelligence for waste management in smart cities: a review
B Fang, J Yu, Z Chen, AI Osman, M Farghali… - Environmental …, 2023 - Springer
The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …
management, and recycling, calling for new strategies to improve the waste ecosystem, such …
Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting
Streamflow forecasting plays a key role in improvement of water resource allocation,
management and planning, flood warning and forecasting, and mitigation of flood damages …
management and planning, flood warning and forecasting, and mitigation of flood damages …
Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan
The forecast of river flow has high great importance in water resources and hazard
management. It becomes more important in mountain areas because most of the …
management. It becomes more important in mountain areas because most of the …
Concepts, procedures, and applications of artificial neural network models in streamflow forecasting
A Malekian, N Chitsaz - Advances in streamflow forecasting, 2021 - Elsevier
Artificial neural network (ANN) model involves computations and mathematics, which
simulate the human–brain processes. Many of the recently achieved advancements are …
simulate the human–brain processes. Many of the recently achieved advancements are …
Artificial neural network optimized with a genetic algorithm for seasonal groundwater table depth prediction in Uttar Pradesh, India
Accurate information about groundwater level prediction is crucial for effective planning and
management of groundwater resources. In the present study, the Artificial Neural Network …
management of groundwater resources. In the present study, the Artificial Neural Network …
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
to extreme values of streamflow (SF). Due to this, the study of SF prediction is highly …
Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods
M Najafzadeh, A Ghaemi - Environmental monitoring and assessment, 2019 - Springer
Rivers, as the most prominent component of water resources, have a key role to play in
increasing the life expectancy of living creatures. The essential characteristics of water …
increasing the life expectancy of living creatures. The essential characteristics of water …
Drought forecasting using the Prophet model in a semi-arid climate region of western India
A Basak, ATMS Rahman, J Das… - Hydrological Sciences …, 2022 - Taylor & Francis
Accurate drought forecasting is necessary for early warning of drought hazards, water
resources and eco-environmental management. This study assessed the capability of the …
resources and eco-environmental management. This study assessed the capability of the …
Predicting Irrigation Water Quality Indices Based on Data‐Driven Algorithms: Case Study in Semiarid Environment
Ascertaining water quality for irrigational use by employing conventional methods is often
time taking and expensive due to the determination of multiple parameters needed …
time taking and expensive due to the determination of multiple parameters needed …
Applicability of ε-support vector machine and artificial neural network for flood forecasting in humid, semi-humid and semi-arid basins in China
TM Bafitlhile, Z Li - Water, 2019 - mdpi.com
The aim of this study was to develop hydrological models that can represent different geo-
climatic system, namely: humid, semi-humid and semi-arid systems, in China. Humid and …
climatic system, namely: humid, semi-humid and semi-arid systems, in China. Humid and …