Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Hossein Malekmohamadi"'
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109933- (2024)
User behavior plays a substantial role in shaping household energy use. Nevertheless, the methodologies employed by researchers to examine user behavior exhibit certain limitations in terms of their reach. The present article introduces an openly acc
Externí odkaz:
https://doaj.org/article/06fc0bc02a604ba88cee4f9a8891e715
Publikováno v:
Environmental Challenges, Vol 13, Iss , Pp 100741- (2023)
Recommender systems continually impact multiple verticals by introducing automated intelligence to decision making. When applying such Artificial Intelligence (AI) tools to energy efficiency problems, a number of opportunities and challenges present
Externí odkaz:
https://doaj.org/article/0a4a8f2d54fd47b6902a6c451067e73d
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108985- (2023)
This data article describes a dataset collected in 2022 in a domestic household in the UK. The data provides appliance-level power consumption data and ambient environmental conditions as a timeseries and as a collection of 2D images created using Gr
Externí odkaz:
https://doaj.org/article/8c2ea2481fb34fb9b5bf3eddd902b59c
Publikováno v:
Cluster Computing. 26:1375-1387
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. With adverse industrial effects on the global landscape, climate change is imploring the global econom
Autor:
Muhammad Jaleel, Omer Faruk Kucukler, Abdullah Alsalemi, Abbes Amira, Hossein Malekmohamadi, Kegong Diao
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. The notion of employing a Deep Learning (DL) for gas classification has kindled revolution in the fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::110541588fc71d57f43d4903d6019430
https://doi.org/10.1109/JSEN.2023.3243149
https://doi.org/10.1109/JSEN.2023.3243149
Publikováno v:
AIAA SCITECH 2023 Forum.
Publikováno v:
Emerging Real-World Applications of Internet of Things ISBN: 9781003304203
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a56ea896af4b8737b81059d534192caf
https://doi.org/10.1201/9781003304203-2
https://doi.org/10.1201/9781003304203-2
Autor:
Hossein Malekmohamadi
The used dataset is available publically at the UCI repository for the experiments. In this work Dynamic mixture of gases, the dataset is used for the classification, where this time series dataset is converted to 2D GAF representation and then class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::543c989028a42c43071c7f2988c5578c
https://doi.org/10.36227/techrxiv.20506926
https://doi.org/10.36227/techrxiv.20506926
Autor:
Joe McCooey, Hossein Malekmohamadi
Publikováno v:
SSRN Electronic Journal.