Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach
One of the promising ways to shift towards sustainable development has been the utilization
of solar energy worldwide. Based on its geographical specifications, Iran enjoys high solar …
of solar energy worldwide. Based on its geographical specifications, Iran enjoys high solar …
Wavelet-multi resolution analysis based ANN architecture for fault detection and localization in DC microgrids
DC microgrids present an effective power system solution for increased integration of
renewable sources while providing clear benefits, such as high efficiency and simpler …
renewable sources while providing clear benefits, such as high efficiency and simpler …
Prediction of Chlorophyll-a Concentrations in the Nakdong River Using Machine Learning Methods
Y Shin, T Kim, S Hong, S Lee, EJ Lee, SW Hong… - Water, 2020 - mdpi.com
Many studies have attempted to predict chlorophyll-a concentrations using multiple
regression models and validating them with a hold-out technique. In this study commonly …
regression models and validating them with a hold-out technique. In this study commonly …
[PDF][PDF] Time series data prediction using sliding window based RBF neural network
HS Hota, R Handa, AK Shrivas - International Journal of …, 2017 - academia.edu
Time series data are data which are taken in a particular time interval, and may vary
drastically during the period of observation and hence it becomes highly nonlinear. Stock …
drastically during the period of observation and hence it becomes highly nonlinear. Stock …
Water quality prediction in the luan river based on 1-drcnn and bigru hybrid neural network model
J Yan, J Liu, Y Yu, H Xu - Water, 2021 - mdpi.com
The current global water environment has been seriously damaged. The prediction of water
quality parameters can provide effective reference materials for future water conditions and …
quality parameters can provide effective reference materials for future water conditions and …
Energy generation forecasting: elevating performance with machine and deep learning
Abstract Distribution System Operators (DSOs) and Aggregators benefit from novel Energy
Generation Forecasting (EGF) approaches. Improved forecasting accuracy may make it …
Generation Forecasting (EGF) approaches. Improved forecasting accuracy may make it …
[HTML][HTML] A data-driven algorithm to predict throughput bottlenecks in a production system based on active periods of the machines
Smart manufacturing is reshaping the manufacturing industry by boosting the integration of
information and communication technologies and manufacturing process. As a result …
information and communication technologies and manufacturing process. As a result …
[HTML][HTML] A predictive maintenance model using long short-term memory neural networks and Bayesian inference
D Pagano - Decision Analytics Journal, 2023 - Elsevier
The fourth industrial revolution is a profound transformation utilizing emerging technologies
like smart automation, large-scale machine-to-machine communication, and the internet of …
like smart automation, large-scale machine-to-machine communication, and the internet of …
Real-time prediction of rate of penetration by combining attention-based gated recurrent unit network and fully connected neural networks
C Zhang, X Song, Y Su, G Li - Journal of Petroleum Science and …, 2022 - Elsevier
Data-driven models are widely used to predict rate of penetration. However, there are still
challenges on real-time predictions considering influences of formation properties and bit …
challenges on real-time predictions considering influences of formation properties and bit …
Detecting spectre attacks using hardware performance counters
C Li, JL Gaudiot - IEEE Transactions on Computers, 2021 - ieeexplore.ieee.org
Spectre attacks can be catastrophic and widespread because they exploit common design
flaws caused by the speculative capabilities in modern processors to leak sensitive data …
flaws caused by the speculative capabilities in modern processors to leak sensitive data …