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(Field of Science)
Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 20 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 20 | Ministry scored journals list 2024 |
| 2023 | 20 | Ministry Scored Journals List |
| 2022 | 20 | Ministry Scored Journals List 2019-2022 |
| 2021 | 20 | Ministry Scored Journals List 2019-2022 |
| 2020 | 20 | Ministry Scored Journals List 2019-2022 |
| 2019 | 20 | Ministry Scored Journals List 2019-2022 |
| 2018 | 20 | A |
| 2017 | 20 | A |
| 2016 | 15 | A |
| 2015 | 15 | A |
| 2014 | 20 | A |
| 2013 | 20 | A |
| 2012 | 30 | A |
| 2011 | 30 | A |
| 2010 | 32 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 5.3 |
| Year | Points |
|---|---|
| 2023 | 5.3 |
| 2022 | 5 |
| 2021 | 4.9 |
| 2020 | 4.6 |
| 2019 | 3.8 |
| 2018 | 1.9 |
| 2017 | 1.4 |
| 2016 | 2.1 |
| 2015 | 2.3 |
| 2014 | 2.1 |
| 2013 | 1.9 |
| 2012 | 1.7 |
| 2011 | 2 |
Impact Factor:
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Papers published in journal
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total: 2
Catalog Journals
Year 2024
-
LDNet: A Robust Hybrid Approach for Lie Detection Using Deep Learning Techniques
PublicationDeception detection is regarded as a concern for everyone in their daily lives and affects social interactions. The human face is a rich source of data that offers trustworthy markers of deception. The deception or lie detection systems are non-intrusive, cost-effective, and mobile by identifying facial expressions. Over the last decade, numerous studies have been conducted on deception detection using several advanced techniques....
Year 2020
-
Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks
PublicationThe increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated...
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