Burst detection in district metering areas using deep learning method
Water loss reduction is important in sustainable water resource management. As one of the
main water loss control methods, early detection of hydraulic accidents in district metering …
main water loss control methods, early detection of hydraulic accidents in district metering …
Temporal and spatial characteristics of wave energy in the Persian Gulf based on the ERA5 reanalysis dataset
Abstract The 18-year (2000–2017) spatio-temporal distribution of the annual, seasonal and
monthly mean wave energy based on the significant height of combined wind waves and …
monthly mean wave energy based on the significant height of combined wind waves and …
Wave excitation force forecasting using neural networks
Many wave energy conversion applications require future knowledge or forecasting of the
wave excitation force values. Most wave energy converter (WEC) control strategies need to …
wave excitation force values. Most wave energy converter (WEC) control strategies need to …
[HTML][HTML] Impacts of mining on local fauna of wildlife in District Mardan & District Mohmand Khyber Pakhtunkhwa Pakistan
Mining is vital for human sustenance and a crucial sector in the state economy. However, its
impacts on the environment and biodiversity cannot be underestimated. Which are potent to …
impacts on the environment and biodiversity cannot be underestimated. Which are potent to …
Wind energy potential assessment in the Persian Gulf: a spatial and temporal analysis
Despite the high capacity of wind energy in the offshore regions of Iran seas, wind power
plants in these parts have not been significantly considered. In this study, the temporal and …
plants in these parts have not been significantly considered. In this study, the temporal and …
Integrated dynamic multi-threshold pattern recognition with graph attention long short-term neural memory network for water distribution network losses prediction: An …
Water loss is a common and critical problem in water distribution networks, resulting in a
decrease in wastewater and user experience. In this research, prediction-classification …
decrease in wastewater and user experience. In this research, prediction-classification …
Effect of T-shaped spur dike length on mean flow characteristics along a 180-degree sharp bend
An open channel flume with a central 180-degree bend with a rigid bed is designed to
obtain a better understanding of the complex flow pattern around a T-shaped spur dike …
obtain a better understanding of the complex flow pattern around a T-shaped spur dike …
[PDF][PDF] 数智流体力学的发展及油气渗流领域应用
宋洪庆， 都书一， 王九龙， 劳浚铭， 谢驰宇 - 力学学报, 2023 - lxxb.cstam.org.cn
大数据及人工智能技术的崛起推动了数智流体力学的快速发展. 数智流体力学是将流体力学,
大数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心 …
大数据和人工智能相结合, 以流体力学场景需求为导向, 形成以“数” 为基础, 以“智” 为核心 …
Application of artificial neural networks to predict flow velocity in a 180 sharp bend with and without a spur dike
This work has compared the performance of three well-known artificial neural network (ANN)
approaches in turbulent flow pattern modeling based on geometric characteristics of the …
approaches in turbulent flow pattern modeling based on geometric characteristics of the …
Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method
K Mahmoodi, H Nowruzi - Ships and Offshore Structures, 2022 - Taylor & Francis
The realization of accurate extreme wave height occurrence prediction is essential for
offshore and onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme …
offshore and onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme …