Forecasting energy consumption of wastewater treatment plants with a transfer learning approach for sustainable cities

P Oliveira, B Fernandes, C Analide, P Novais - Electronics, 2021 - mdpi.com
A major challenge of today's society is to make large urban centres more sustainable.
Improving the energy efficiency of the various infrastructures that make up cities is one …

Memory-based transformer with shorter window and longer horizon for multivariate time series forecasting

Y Liu, Z Wang, X Yu, X Chen, M Sun - Pattern Recognition Letters, 2022 - Elsevier
Multivariate time series forecasting is an important problem that spans many fields. One
challenge of this problem is the complex and non-linear interdependence between time …

Multi-step forecasting of short-term traffic flow based on Intrinsic Pattern Transform

H Huang, J Chen, B Shi - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
Multi-step forecasting is an essential but tricky aspect of Intelligent Transportation Systems
(ITS). Existing models generally yield unreliable results as the forecasting horizon increases …

TDG4MSF: A temporal decomposition enhanced graph neural network for multivariate time series forecasting

H Miao, Y Zhang, Z Ning, Z Jiang, L Wang - Applied Intelligence, 2023 - Springer
Multivariate time series forecasting is an important issue in industries, agriculture, finance,
and other applications. There are many challenging problems in it such as non-linear and …

Neural network explainable AI based on paraconsistent analysis: An extension

FS Marcondes, D Durães, F Santos, JJ Almeida… - Electronics, 2021 - mdpi.com
This paper explores the use of paraconsistent analysis for assessing neural networks from
an explainable AI perspective. This is an early exploration paper aiming to understand …

Construction of Dynamic Traffic Pattern Recognition and Prediction Model Based on Deep Learning in the Background of Intelligent Cities

J Cui, J Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
To reduce traffic congestion, it is particularly important to use advanced technology to predict
urban traffic flow. Therefore, a dynamic traffic pattern prediction model is proposed, which …

Cloud Computing‐Based Online Sharing Method of Mass Resources in Public Libraries

J Cao - Mobile Information Systems, 2022 - Wiley Online Library
In order to realize the online sharing of massive resources and capitals in public libraries
under the circumstances of network environment and cultural construction, it is desirable to …

Demand forecasting in retail for diabetes medicine

K Shah, N Rasal, S Mhatre - 2023 International conference on …, 2023 - ieeexplore.ieee.org
This paper focuses on forecasting demand for diabetes medicines over a short period of
time. Retailers face the problem of stock out or overstock due to improper management or …

One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP

Á Michelena, A Díaz-Longueira, M Timiraos… - … Conference on Hybrid …, 2023 - Springer
Abstract Denial of Service (DoS) attack over Internet of Things (IoT) is among the most
prevalent cyber threat, their complex behavior makes very expensive the use of Datagram …

Sistema de recomendação para uma loja online de livros

TAM Cardoso - 2022 - search.proquest.com
Nas últimas décadas, a tecnologia tem sofrido uma evolução exponencial, assumindo um
papel fundamental no nosso quotidiano e quando aplicada nas mais diversas áreas …