Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera. - Irida Shallari; Muhammad Imran 021; Najeem Lawal; Mattias O'Nils (ICDSC, 2017)

Background modelling, analysis and implementation for thermographic images. - Irida Shallari; Qaiser Anwar; Muhammad Imran 021; Mattias O'Nils (IPTA, 2017)

Architectural evaluation of node: server partitioning for people counting. - Irida Shallari; Silvia Krug; Mattias O'Nils (ICDSC, 2018)

A Case Study on Energy Overhead of Different IoT Network Stacks. - Silvia Krug; Irida Shallari; Mattias O'Nils (WF-IoT, 2019)

From the Sensor to the Cloud: Intelligence Partitioning for Smart Camera Applications. - Irida Shallari; Mattias O'Nils (Sensors, 2019)

Communication and computation inter-effects in people counting using intelligence partitioning. - Irida Shallari; Silvia Krug; Mattias O'Nils (J. Real Time Image Process., 2020)

Design Space Exploration for an IoT Node: Trade-Offs in Processing and Communication. - Irida Shallari; Isaac Sánchez Leal; Silvia Krug; Axel Jantsch; Mattias O'Nils (IEEE Access, 2021)

Image Scaling Effects on Deep Learning Based Applications. - Irida Shallari; Vincenzo Gallo; Marco Carratu; Mattias O'Nils; Consolatina Liguori; Mazhar Hussain (M&N, 2022)

Selection of optimal parameters to predict fuel consumption of city buses using data fusion. - Mazhar Hussain; Mattias O'Nils; Jan Lundgren; Marco Carratù; Irida Shallari (SAS, 2022)

A Study on the Correlation between Change in the Geometrical Dimension of a Free-Falling Molten Glass Gob and Its Viscosity. - Mazhar Hussain; Mattias O'Nils; Jan Lundgren; Irida Shallari (Sensors, 2022)

Waist Tightening of CNNs: A Case study on Tiny YOLOv3 for Distributed IoT Implementations. - Isaac Sánchez Leal; Eiraj Saqib; Irida Shallari; Axel Jantsch; Silvia Krug; Mattias O'Nils (CPS-IoT Week Workshops, 2023)

Metrological Characterization of a Clip Fastener assembly fault detection system based on Deep Learning. - Vincenzo Gallo; Irida Shallari; Marco Carratu; Mattias O'Nils (I2MTC, 2023)

Optimizing the IoT Performance: A Case Study on Pruning a Distributed CNN. - Eiraj Saqib; Isaac Sánchez Leal; Irida Shallari; Axel Jantsch; Silvia Krug; Mattias O'Nils (SAS, 2023)

An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth. - Seyed Jalaleddin Mousavirad; Irida Shallari; Mattias O'Nils (CEC, 2024)

Assignments in the ChatGPT-era: Case Study on Plagiarism in Digital Systems Design Courses. - Irida Shallari; Mazhar Hussain (HICSS, 2024)

Design and Evaluation of a Soft Sensor for Snow Weight Measurement. - Marco Carratù; Vincenzo Gallo; Consolatina Liguori; Irida Shallari; Jan Lundgren; Mattias O'Nils (I2MTC, 2024)

Method for Capturing Measured LiDAR Data with Ground Truth for Generation of Big Real LiDAR Data Sets. - Ola Gatner; Irida Shallari; Yali Nie; Mattias O'Nils; Muhammad Imran 021 (I2MTC, 2024)

Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model. - Yali Nie; Mattias O'Nils; Ola Gatner; Muhammad Imran 021; Irida Shallari (I2MTC, 2024)

Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media. - Faeze Zakaryapour Sayyad; Irida Shallari; Seyed Jalaleddin Mousavirad; Mattias O'Nils (ICACDS, 2024)

Earthquake Magnitude Estimation with Single Seismic Station using Deep Learning. - Marco Carratù; Vincenzo Gallo; Valter Laino; Vincenzo Paciello; António Espírito-Santo 001; Irida Shallari (M&N, 2024)

Design and Characterization of a Powered Wheelchair Autonomous Guidance System. - Vincenzo Gallo; Irida Shallari; Marco Carratù; Valter Laino; Consolatina Liguori (Sensors, 2024)

Temporal Image Sequence Fusion with PSO-Optimised CNN Transfer Learning for Plant Temporal State Categorisation. - Seyed Jalaleddin Mousavirad; Irida Shallari; Mattias O'Nils (CEC, 2025)

Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach. - Seyed Jalaleddin Mousavirad; Vincenzo Gallo; Irida Shallari; Mattias O'Nils (I2MTC, 2025)

From mAP to Statistical Metrics: A New Paradigm for Evaluating Model Accuracy in Metrology. - Astile Peter; Irida Shallari; Marco Carratu; Jan Lundgren (I2MTC, 2025)

Quantization-Aware Training for Autoencoder-Based Partitioning of CNNs. - Oscar Artur Bernd Berg; Eiraj Saqib; Axel Jantsch; Mattias O'Nils; Irida Shallari; Isaac Sánchez Leal; Silvia Krug (PerCom Workshops, 2025)

Efficient Inference of parallel partitioned hybrid-Vision Transformers. - Oscar Artur Bernd Berg; Eiraj Saqib; Axel Jantsch; Mattias O'Nils; Silvia Krug; Irida Shallari; Isaac Sánchez Leal (RAGE@SenSys, 2025)

INVITED: Optimizing IoT Node Design for Edge Computing Applications. - Irida Shallari (RAGE@SenSys, 2025)

TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs. - Oscar Artur Bernd Berg; Eiraj Saqib; Axel Jantsch; Irida Shallari; Silvia Krug; Isaac Sánchez Leal; Mattias O'Nils (IEEE Access, 2025)