Recent advances in delivery systems optimization using machine learning approaches
S Yakoubi, I Kobayashi, K Uemura, M Nakajima… - … and Processing-Process …, 2023 - Elsevier
Nowadays, the researchers delve into the intricacies of machine learning (Artificial Neural
Network (ANN), Genetic algorithm (GA), support vector machines (SVM), K-means …
Network (ANN), Genetic algorithm (GA), support vector machines (SVM), K-means …
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
A Meng, H Zhang, H Yin, Z **an, S Chen, Z Zhu… - Energy, 2023 - Elsevier
Due to the lack of historical data, accurate prediction is a great challenge for newly
constructed wind farms (NWFs). How to guarantee satisfactory prediction accuracy with …
constructed wind farms (NWFs). How to guarantee satisfactory prediction accuracy with …
Regular and anomalous diffusion: I. Foundations
I Eliazar - Journal of Physics A: Mathematical and Theoretical, 2024 - iopscience.iop.org
Diffusion is a generic term for random motions whose positions become more and more
diffuse with time. Diffusion is of major importance in numerous areas of science and …
diffuse with time. Diffusion is of major importance in numerous areas of science and …
Stochastic collocation for optimal control problems with stochastic PDE constraints by meshless techniques
F Huang, Y Chen, Y Chen, H Sun - Journal of Mathematical Analysis and …, 2024 - Elsevier
In this paper, we investigate the stochastic collocation method with meshless techniques for
an optimal control problem of elliptic equations with random inputs. The proposed method …
an optimal control problem of elliptic equations with random inputs. The proposed method …
Detection of explosives in dustbins using deep transfer learning based multiclass classifiers
A Gyasi-Agyei - Applied Intelligence, 2024 - Springer
The concealment of improvised explosive devices in dustbins aimed at destroying people
and property is causing the mass removal of dustbins from public places and vehicular …
and property is causing the mass removal of dustbins from public places and vehicular …
A Novel Multi-Gradients Evolutionary Deep Learning Approach for Wind Power Prediction in New-Built Wind Farms Based on Time-Series Generative Adversarial …
A Meng, H Zhang, H Yin, Z **an, S Chen, Z Zhu… - Available at SSRN … - papers.ssrn.com
Accurate prediction is a great challenge for newly constructed wind farms (NWFs) that lack
historical data. It is imperative to create a practical strategy to increase the wind power …
historical data. It is imperative to create a practical strategy to increase the wind power …
A Novel Multi-Gradients Evolutionary Deep Learning Approach for Solving Few-Shot Problem in Wind Power Prediction Based on Time-Series Generative Adversarial …
A Meng, H Zhang, H Yin, Z **an, S Chen, Z Zhu… - Available at SSRN … - papers.ssrn.com
Due to the lack of historical data, accurate prediction is a great challenge for newly
constructed wind farms (NWFs). NWFs may not provide enough historical data, which …
constructed wind farms (NWFs). NWFs may not provide enough historical data, which …