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Cited by 9
Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches

2023 International Conference on Data Science and Network Security (ICDSNS)
Khushi Shah, Neha Rasal, Sneha Mhatre
https://doi.org/10.1109/ICDSNS58469.2023.10245677
Conference:  (2023), p. 1
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais
https://doi.org/10.1007/978-3-030-91608-4_44
Book:  Lecture Notes in Computer Science (Intelligent Data Engineering and Automated Learning – IDEAL 2021) Volume 13113 (2021), p. 446
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
Carlos Faria, Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais
https://doi.org/10.1007/978-3-030-86261-9_14
Book:  Lecture Notes in Networks and Systems (Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference) Volume 327 (2022), p. 137
2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)
Li Yanxing, Chen Jichang, Zhu Xueping, Huang Ying
https://doi.org/10.1109/ICISCAE59047.2023.10392548
Conference:  (2023), p. 190
Construction of Dynamic Traffic Pattern Recognition and Prediction Model Based on Deep Learning in the Background of Intelligent Cities
Jian Cui, Jianyou Zhao
https://doi.org/10.1109/ACCESS.2023.3346062
Journal:  IEEE Access Volume 12 (2024), p. 1418
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Pedro Oliveira, Bruno Fernandes, Cesar Analide, Paulo Novais
https://doi.org/10.3390/electronics10101149
Journal:  Electronics Volume 10, Issue 10 (2021), p. 1149
Multi-step forecasting of short-term traffic flow based on Intrinsic Pattern Transform
Hai-chao Huang, Jing-ya Chen, Bao-cun Shi, Hong-di He
https://doi.org/10.1016/j.physa.2023.128798
Journal:  Physica A: Statistical Mechanics and its Applications Volume 621 (2023), p. 128798
Neural Network Explainable AI Based on Paraconsistent Analysis: An Extension
Francisco S. Marcondes, Dalila Durães, Flávio Santos, José João Almeida, Paulo Novais
https://doi.org/10.3390/electronics10212660
Journal:  Electronics Volume 10, Issue 21 (2021), p. 2660
TDG4MSF: A temporal decomposition enhanced graph neural network for multivariate time series forecasting
Hao Miao, Yilin Zhang, Zefei Ning, Zhuolun Jiang, Li Wang
https://doi.org/10.1007/s10489-023-04987-6
Journal:  Applied Intelligence Volume 53, Issue 23 (2023), p. 28254


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