Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Athanasios Voulodimos"'
Autor:
Anastasios Temenos, Athanasios Voulodimos, Vera Korelidou, Athanasios Gelasakis, Dimitrios Kalogeras, Anastasios Doulamis, Nikolaos Doulamis
Publikováno v:
Journal of Agriculture and Food Research, Vol 16, Iss , Pp 101174- (2024)
Modern livestock farming systems face the challenge of meeting the growing demand for dairy and meat products while ensuring the well-being of animals. Body Condition Scoring serves as a vital process for assessing the body reserves in animals, impac
Externí odkaz:
https://doaj.org/article/5ee47ff7af4a44159d21ea63b511b22f
Autor:
George Kopsiaftis, Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, Aristotelis Mantoglou
Publikováno v:
Frontiers in Water, Vol 5 (2023)
In this work we investigate the performance of various lower-fidelity models of seawater intrusion in coastal aquifer management problems. The variable density model is considered as the high-fidelity model and a pumping optimization framework is app
Externí odkaz:
https://doaj.org/article/01e5a6a5644e4afb8caebb870339b063
Autor:
Nikolaos Sideris, Georgios Bardis, Athanasios Voulodimos, Georgios Miaoulis, Djamchid Ghazanfarpour
Publikováno v:
Sensors, Vol 24, Iss 4, p 1335 (2024)
The persistent increase in the magnitude of urban data, combined with the broad range of sensors from which it derives in modern urban environments, poses issues including data integration, visualization, and optimal utilization. The successful selec
Externí odkaz:
https://doaj.org/article/99d439ffa57941e1af52b98efbf6aead
Autor:
Ilias Merkoureas, Antonia Kaouni, Georgia Theodoropoulou, Alexandros Bousdekis, Athanasios Voulodimos, Georgios Miaoulis
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101327- (2023)
“Smyrida” is a modular software system in the form of a web application with open APIs making it adaptive to new techniques that can be applied for process mining and capable of being integrated to information systems producing event logs. From t
Externí odkaz:
https://doaj.org/article/794f46e26d324436a239aa261e37ca73
Autor:
Ifigenia Drosouli, Athanasios Voulodimos, Paris Mastorocostas, Georgios Miaoulis, Djamchid Ghazanfarpour
Publikováno v:
Sensors, Vol 23, Iss 17, p 7534 (2023)
Accurate estimation of transportation flow is a challenging task in Intelligent Transportation Systems (ITS). Transporting data with dynamic spatial-temporal dependencies elevates transportation flow forecasting to a significant issue for operational
Externí odkaz:
https://doaj.org/article/1a8845d2e4f9474c8595eacf09a052c9
Publikováno v:
Energies, Vol 16, Iss 10, p 4227 (2023)
A dynamic fuzzy neural network for short-term load forecasting of the Greek power system is proposed, and an hourly based prediction for the whole year is performed. A DBD-FELF (Dynamic Block-Diagonal Fuzzy Electric Load Forecaster) consists of fuzzy
Externí odkaz:
https://doaj.org/article/b5cd3833c3e64974921ee0fcfb9a6aa5
Autor:
Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis
Publikováno v:
IEEE Access, Vol 9, Pp 58609-58620 (2021)
An increasing number of emerging applications in data science and engineering are based on multidimensional and structurally rich data. The irregularities, however, of high-dimensional data often compromise the effectiveness of standard machine learn
Externí odkaz:
https://doaj.org/article/2a6eefc9a37545c8b561cea888e1e7c5
Autor:
Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Anastasios Doulamis, Eftychios Protopapadakis
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 1-16 (2021)
Energy disaggregation, namely the separation of the aggregated household energy consumption signal into its additive sub-components, bears resemblance to the signal (source) separation problem and poses several challenges, not only as an ill-posed pr
Externí odkaz:
https://doaj.org/article/7650c1e3212e476ea174af0b3497ca13
Autor:
Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis
Publikováno v:
IEEE Access, Vol 7, Pp 81047-81056 (2019)
Power consumption signals of household appliances are characterized by randomly occurring events (e.g. switch-on events), making timeseries modeling a demanding process. In this paper, we propose a convolutional neural network (CNN)-based architectur
Externí odkaz:
https://doaj.org/article/8aeecf94ca3b4d0399b2e0a13a149331
Autor:
Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis
Publikováno v:
Sensors, Vol 22, Iss 15, p 5872 (2022)
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into its individual sub-components. Over the years, signal processing and machine learning algorithms have been combined to achieve this. Many publications
Externí odkaz:
https://doaj.org/article/ba6b1d37c1d34b729af1424a9e37496b