ISSN:
eISSN:
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- biomedical engineering (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- mechanical engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- computer and information sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
2018 | 20 | A |
2017 | 20 | A |
2016 | 20 | A |
2015 | 15 | A |
2014 | 20 | A |
2013 | 15 | A |
2012 | 20 | A |
2011 | 20 | A |
2010 | 20 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 6.5 |
Year | Points |
---|---|
2023 | 6.5 |
2022 | 6 |
2021 | 4.2 |
2020 | 3.3 |
2019 | 3 |
2018 | 3.2 |
2017 | 2.7 |
2016 | 2.4 |
2015 | 1.7 |
2014 | 1.2 |
2013 | 0.9 |
2012 | 0.6 |
2011 | 0.7 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 2
Catalog Journals
Year 2019
-
Deep learning in the fog
PublicationIn the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...
Year 2016
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Performance Analysis of Interaction between Smart Glasses and Smart Objects Using Image-Based Object Identification
PublicationWe propose the use of smart glasses to collaborate with smart objects in the Internet of Things environment. Particularly we are focusing on new interaction methods and the analysis of acceptable reaction times in the process of object recognition using smart glasses. We evaluated the proposed method using user studies and experiments with three different smart glasses: Google Glass, Epson Moverio, and the developed eGlasses platform....
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