Irida Shallari

Publikationer

Artiklar i tidskrifter
Doktorsavhandlingar, sammanläggningar
Konferensbidrag
Licentiatavhandlingar, sammanläggningar
Dataset

Artiklar i tidskrifter

Gallo, V. , Shallari, I. , Carratù, M. , Laino, V. & Liguori, C. (2024). Design and Characterization of a Powered Wheelchair Autonomous Guidance System. Sensors, vol. 24: 5    

Hussain, M. , O'Nils, M. , Lundgren, J. & Shallari, I. (2022). A Study on the Correlation between Change in the Geometrical Dimension of a Free-Falling Molten Glass Gob and Its Viscosity. Sensors, vol. 22: 2, ss. 661-661.    

Shallari, I. , Sánchez Leal, I. , Krug, S. , Jantsch, A. & O'Nils, M. (2021). Design space exploration for an IoT node : Trade-offs in processing and communication. IEEE Access, vol. 9, ss. 65078-65090.    

Sánchez Leal, I. , Shallari, I. , Krug, S. , Jantsch, A. & O'Nils, M. (2021). Impact of input data on intelligence partitioning decisions for IoT smart camera nodes. Electronics, vol. 10: 16    

Shallari, I. , Krug, S. & O'Nils, M. (2020). Communication and Computation Inter-Effects in People Counting Using Intelligence Partitioning. Journal of Real-Time Image Processing, vol. 17, ss. 1869-1882.    

Shallari, I. & O'Nils, M. (2019). From the Sensor to the Cloud : Intelligence Partitioning for Smart Camera Applications. Sensors, vol. 19: 23    

Doktorsavhandlingar

Shallari, I. (2021). Intelligence Partitioning for IoT : Design Space Exploration for a Data Intensive IoT Node. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2021 (Mid Sweden University doctoral thesis : 346)  

Konferensbidrag

Seyed Jalaleddin, M. , Shallari, I. & O'Nils, M. (2024). An Automated Temporal Sorting System for Plant Growth Using Deep CNN Transfer Learning. I 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.  

Seyed Jalaleddin, M. , Shallari, I. & O'Nils, M. (2024). An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth. I 2024 IEEE Congress on Evolutionary Computation (CEC).  

Shallari, I. & Hussain, M. (2024). Assignments in the ChatGPT-era : Case Study on Plagiarism in Digital Systems Design Courses. I Proceedings of the Annual Hawaii International Conference on System Sciences. Hawaii USA : (Proceedings of the 57th Hawaii International Conference on System Sciences). S. 7510--7519.

Carratù, M. , Gallo, V. , Liguori, C. , Shallari, I. , Lundgren, J. & O'Nils, M. (2024). Design and Evaluation of a Soft Sensor for Snow Weight Measurement. I Conference Record - IEEE Instrumentation and Measurement Technology Conference.  

Carratu, M. , Gallo, V. , Laino, V. , Paciello, V. , Espirito-Santo, A. & Shallari, I. (2024). Earthquake Magnitude Estimation with Single Seismic Station using Deep Learning. I 2024 IEEE International Symposium on Measurements and Networking, M and N 2024 - Proceedings.  

Jansen, K. , Shallari, I. , Mourad, S. , Werheit, P. & Bader, S. (2024). Image-Based Condition Monitoring of Air-Spinning Machines with Deep Neural Networks. I 2024 IEEE Sensors Applications Symposium, SAS 2024 - Proceedings.  

Gatner, O. , Shallari, I. , Nie, Y. , O'Nils, M. & Imran, M. (2024). Method for Capturing Measured LiDAR Data with Ground Truth for Generation of Big Real LiDAR Data Sets. I Conference Record - IEEE Instrumentation and Measurement Technology Conference.  

Nie, Y. , O'Nils, M. , Gatner, O. , Imran, M. & Shallari, I. (2024). Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model. I 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).  

Gallo, V. , Shallari, I. , Carratu, M. & O'Nils, M. (2023). Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning. I 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).  

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.  

Shallari, I. , Gallo, V. , Carratu, M. , O'Nils, M. , Liguori, C. & Hussain, M. (2022). Image Scaling Effects on Deep Learning Based Applications. I 2022 IEEE International Symposium on Measurements & Networking (M&N).  

Hussain, M. , O'Nils, M. , Lundgren, J. , Carratú, M. & Shallari, I. (2022). Selection of optimal parameters to predict fuel consumption of city buses using data fusion. I 2022 IEEE Sensors Applications Symposium (SAS).  

Krug, S. , Shallari, I. & O'Nils, M. (2019). A Case Study on Energy Overhead of Different IoT Network Stacks. I 2019 IEEE 5th World Forum on Internet of Things (WF-IoT).. S. 528--529.  

Shallari, I. , Krug, S. & O'Nils, M. (2018). Architectural evaluation of node : server partitioning for people counting. I ACM International Conference Proceeding Series. New York :  

Shallari, I. , Anwar, Q. , Imran, M. & O'Nils, M. (2017). Background Modelling, Analysis and Implementation for Thermographic Images. I PROCEEDINGS OF THE 2017 SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA 2017).  

Shallari, I. , Imran, M. , Lawal, N. & O'Nils, M. (2017). Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera. I Proceedings of the 11th International Conference on Distributed Smart Cameras.. S. 95--100.  

Licentiatavhandlingar

Shallari, I. (2019). Intelligence Partitioning for IoT : Communication and Processing Inter-Effects for Smart Camera Implementation. Lic.-avh. (Sammanläggning) Sundsvall : Mid Sweden University, 2019 (Mid Sweden University licentiate thesis : 152)

Dataset

Shallari, I. (2022). Railway fastening clips dataset wth fastclip.  

Shallari, I. & Krug, S. (2021). Example of design space reduction method using Intelligence partitioning.