TRACE: Transformer-based continuous tracking framework using IoT and MCS
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/02/01
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Indian UGC (journal)
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Refrences45
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Shahmir Khan Mohammed
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Shakti Singh ORCID (unauthenticated)
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Rabeb Mizouni
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Hadi Otrok
Cite
Mohammed, Shahmir Khan, et al. “TRACE: Transformer-Based Continuous Tracking Framework Using IoT and MCS”. Journal of Network and Computer Applications, vol. 222, 2024, p. 103793, https://doi.org/10.1016/j.jnca.2023.103793.
Mohammed, S. K., Singh, S., Mizouni, R., & Otrok, H. (2024). TRACE: Transformer-based continuous tracking framework using IoT and MCS. Journal of Network and Computer Applications, 222, 103793. https://doi.org/10.1016/j.jnca.2023.103793
Mohammed, Shahmir Khan, Shakti Singh, Rabeb Mizouni, and Hadi Otrok. “TRACE: Transformer-Based Continuous Tracking Framework Using IoT and MCS”. Journal of Network and Computer Applications 222 (2024): 103793. https://doi.org/10.1016/j.jnca.2023.103793.
Mohammed SK, Singh S, Mizouni R, Otrok H. TRACE: Transformer-based continuous tracking framework using IoT and MCS. Journal of Network and Computer Applications. 2024;222:103793.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Trajectory Prediction with Correction Mechanism for Connected and Autonomous Vehicles | Electronics |
| 2 | 2022 |
Trajectory distributions: A new description of movement for trajectory prediction | Computational Visual Media |
| 5 | 2022 |
A data-driven approach to increasing the lifetime of IoT sensor nodes | Scientific Reports |
| 11 | 2021 |
| Motion trajectory prediction based on a CNN-LSTM sequential model | Science China Information Sciences |
| 75 | 2020 |
Advances in Smart Environment Monitoring Systems Using IoT and Sensors | Sensors |
| 181 | 2020 |
Refrences Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 15
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Access and Internet of Things. The chart below illustrates the number of referenced publications per year.