Eiraj Saqib
Doktorand|Doctoral Student
- Tjänstetitel: Doktorand
- Akademisk titel: Doktorand
- Telefon arbete: +46 (0)10-1428741
- E-postadress: eiraj.saqib@miun.se
- Rumsnummer: S208
- Ort: Sundsvall
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- Anställd inom ämnet:
- Elektronik
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- Forskningscentra:
- Sensible Things that Communicate, STC
Publikationer
Artiklar i tidskrifter
Konferensbidrag
Artiklar i tidskrifter
Berg, O. A. B. , Saqib, E. , Jantsch, A. , Shallari, I. , Krug, S. , Sánchez Leal, I. & O'Nils, M. (2025). TCL : Time-dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs. IEEE Access, vol. 13, ss. 103640-103648.
Konferensbidrag
Berg, O. A. B. , Saqib, E. , Jantsch, A. , O'Nils, M. , Krug, S. , Shallari, I. & Sánchez Leal, I. (2025). Efficient Inference of parallel partitioned hybrid-Vision Transformers. I 2025 CYBER-PHYSICAL SYSTEMS AND INTERNET-OF-THINGS WEEK, CPS-IOT WEEK WORKSHOPS.
Saqib, E. , Sánchez Leal, I. , Shallari, I. , Jantsch, A. , Krug, S. & O'Nils, M. (2023). Optimizing the IoT Performance : A Case Study on Pruning a Distributed CNN. I 2023 IEEE Sensors Applications Symposium (SAS).
Sánchez Leal, I. , Saqib, E. , Shallari, I. , Jantsch, A. , Krug, S. & O'Nils, M. (2023). Waist Tightening of CNNs : A Case study on Tiny YOLOv3 for Distributed IoT Implementations. I ACM International Conference Proceeding Series.. S. 241--246.