Zobrazeno 1 - 10
of 20 343
pro vyhledávání: '"Moldovan, A"'
Autor:
MOLDOVAN, Artiom
Publikováno v:
Journal of Engineering Science (Chişinău), Vol XXIX, Iss 2, Pp 144-150 (2022)
In this paper, the problem was to carry out a study on the process of mass production of biogas and to deduce the analysis of an example implemented in the wastewater treatment plant. The main problem is the correct processing of the activated sludge
Externí odkaz:
https://doaj.org/article/c81dd776da7a467792e53497f5b6ff78
Autor:
Bucur, Ana-Maria, Moldovan, Andreea-Codrina, Parvatikar, Krutika, Zampieri, Marcos, KhudaBukhsh, Ashiqur R., Dinu, Liviu P.
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple surveys have been published on this topic, providing the community with comprehensive accounts of the researc
Externí odkaz:
http://arxiv.org/abs/2410.08793
Graph Convolutional Networks (GCN) are Graph Neural Networks where the convolutions are applied over a graph. In contrast to Convolutional Neural Networks, GCN's are designed to perform inference on graphs, where the number of nodes can vary, and the
Externí odkaz:
http://arxiv.org/abs/2406.06632
Volt-VAr control is a popular method for mitigating overvoltage violations caused by high penetration of distributed energy resources (DERs) in distribution feeders. An inherent limitation of volt-VAr control is that the reactive power (Q) absorbed/i
Externí odkaz:
http://arxiv.org/abs/2405.18305
Publikováno v:
Entropy - MDPI, Year 2021, Number 9, Article Number 1218, PubMedID 34573843, ISSN 1099-4300
Recently, there is a growing interest in applying Transfer Entropy (TE) in quantifying the effective connectivity between artificial neurons. In a feedforward network, the TE can be used to quantify the relationships between neuron output pairs locat
Externí odkaz:
http://arxiv.org/abs/2404.02943
Publikováno v:
2023 27th International Conference Information Visualisation (IV), pages 278-285
In a feedforward network, Transfer Entropy (TE) can be used to measure the influence that one layer has on another by quantifying the information transfer between them during training. According to the Information Bottleneck principle, a neural model
Externí odkaz:
http://arxiv.org/abs/2404.01364
Autor:
Togru, Said, Moldovan, Marco
This project presents an automated solution for the efficient identification of car models and makes from images, aimed at streamlining the vehicle listing process on online car-selling platforms. Through a thorough exploration encompassing various e
Externí odkaz:
http://arxiv.org/abs/2310.13198
Publikováno v:
npj Climate Action, Vol 3, Iss 1, Pp 1-9 (2024)
Abstract Asset owners will play a foundational role in how the financial system will respond to the immediate and long-term physical, transition, legal, and other risks and opportunities emerging from global climate change. We investigated how asset
Externí odkaz:
https://doaj.org/article/2c20bfa79d684c909989719f10f1e748
Autor:
Smaranda Rosu-Mares, Anca Chiorean, Claudiu Moldovan, Georgeta Guzu, Mirela Cordea, Vasile Florian
Publikováno v:
Journal of Central European Agriculture, Vol 25, Iss 3, Pp 760-766 (2024)
The bacterium Erwinia amylovora is one of the most important pathogens of apples, causing significant damage. During the experimental years, 2021 and 2022, both the temperature and humidity in summer months, were favourable for the occurrence of fire
Externí odkaz:
https://doaj.org/article/ce0849704f604da184aba0476b7b68fc
Autor:
Ioan Tăut, Mircea Moldovan, Vasile Șimonca, Mircea Ioan Varga, Marinel Rob, Florentina Chira, Dănuț Chira
Publikováno v:
Microbiology Research, Vol 15, Iss 3, Pp 1441-1458 (2024)
The production of oak seedlings in intensive crops involves the modification of natural conditions, namely the degree of humidity, through artificial irrigation, which favors the appearance of the pathogen Erysiphe alphitoides, responsible for the Oa
Externí odkaz:
https://doaj.org/article/eed2bf5a8d044ec3818a31133bbbd2a2