Article Versions Notes

Latif S, Driss M, Boulila W, Huma Ze, Jamal SS, Idrees Z, Ahmad J. Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions. Sensors. 2021; 21(22):7518. https://doi.org/10.3390/s21227518

Latif, Shahid, Maha Driss, Wadii Boulila, Zil e Huma, Sajjad Shaukat Jamal, Zeba Idrees, and Jawad Ahmad. 2021. "Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions" Sensors 21, no. 22: 7518. https://doi.org/10.3390/s21227518

Latif, S., Driss, M., Boulila, W., Huma, Z. e., Jamal, S. S., Idrees, Z., & Ahmad, J. (2021). Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions. Sensors, 21(22), 7518. https://doi.org/10.3390/s21227518