Flexible Codesign Target Architecture for Early Prototyping of CMIST Systems. - Kalle Tammemäe; Mattias O'Nils; Ahmed Hemani (FPL, 1996)

Grammar Based Modelling and Synthesis of Device Drivers and Bus Interfaces. - Mattias O'Nils; Johnny Öberg; Axel Jantsch (EUROMICRO, 1998)

Operating System Sensitive Device Driver Synthesis from Implementation Independent Protocol Specification. - Mattias O'Nils; Axel Jantsch (DATE, 1999)

Asynchronous control of low-power gated-clock finite-state machines. - Bengt Oelmann; Mattias O'Nils (ICECS, 1999)

Synthesis of DMA Controllers from Architecture Independent Descriptions of HW/SW Communication Protocols. - Mattias O'Nils; Axel Jantsch (VLSI Design, 1999)

Device Driver and DMA Controller Synthesis from HW /SW Communication Protocol Specifications. - Mattias O'Nils; Axel Jantsch (Des. Autom. Embed. Syst., 2001)

Grammar-based design of embedded systems. - Johnny Öberg; Mattias O'Nils; Axel Jantsch; Adam Postula; Ahmed Hemani (J. Syst. Archit., 2001)

Automatic FSM Synthesis for Low-power Mixed Synchronous/Asynchronous Implementation. - Bengt Oelmann; Kalle Tammemäe; Margus Kruus; Mattias O'Nils (VLSI Design, 2001)

Conceptual interface and memory-modeling for real-time image processing systems. - Benny Thörnberg; Håkan Norell; Mattias O'Nils (IEEE Workshop on Multimedia Signal Processing, 2002)

A SystemC extension for behavioral level quantification of noise coupling in mixed-signal systems. - Mattias O'Nils; Jan Lundgren; Bengt Oelmann (ISCAS (3), 2003)

Behavioral Simulation of Power Line Noise Coupling in Mixed-Signal Systems using SystemC. - Jan Lundgren; Bengt Oelmann; Trond Ytterdal; Patrik Eriksson; Munir Abdalla; Mattias O'Nils (ISVLSI, 2003)

Simplified gate level noise injection models for behavioral noise coupling simulation. - Jan Lundgren; Trond Ytterdal; Mattias O'Nils (ECCTD, 2005)

Data partitioning for parallel implementation of real-time video processing systems. - Mattias O'Nils; Per-Robert Lilljefjäll; Benny Thörnberg (ECCTD, 2005)

A project based master's programme for SoF/SoC based sensor systems. - Mattias O'Nils; Bengt Oelmann; Kent Bertilsson; Hans-Erik Nilsson; Göran Thungström (ECCTD, 2005)

Address Generation for FPGA RAMs for Efficient Implementation of Real-Time Video Processing Systems. - Najeem Lawal; Benny Thörnberg; Mattias O'Nils (FPL, 2005)

Optimization of Memory Allocation for Real-Time Video Processing on FPGA. - Benny Thörnberg; Leif Olsson; Mattias O'Nils (IEEE International Workshop on Rapid System Prototyping, 2005)

Design Exploration of a Video Pre-processor for an FPGA Based SoC. - Niklas Lepistö; Benny Thörnberg; Mattias O'Nils (ARC, 2006)

Impact of bit-width specification on the memory hierarchy for a real-time video processing system. - Benny Thörnberg; Mattias O'Nils (DATE, 2006)

Ram Allocation Algorithm for Video Processing Applications on FPGA. - Najeem Lawal; Benny Thörnberg; Mattias O'Nils; Håkan Norell (J. Circuits Syst. Comput., 2006)

Polyhedral space generation and memory estimation from interface and memory models of real-time video systems. - Benny Thörnberg; Qubo Hu; Martin Palkovic; Mattias O'Nils; Per Gunnar Kjeldsberg (J. Syst. Softw., 2006)

C++ based System Synthesis of Real-Time Video Processing Systems targeting FPGA Implementation. - Najeem Lawal; Mattias O'Nils; Benny Thörnberg (IPDPS, 2007)

Automatic Generation of Spatial and Temporal Memory Architectures for Embedded Video Processing Systems. - Håkan Norell; Najeem Lawal; Mattias O'Nils (EURASIP J. Embed. Syst., 2007)

Bit-Width Constrained Memory Hierarchy Optimization for Real-Time Video Systems. - Benny Thörnberg; Martin Palkovic; Qubo Hu; Leif Olsson; Per Gunnar Kjeldsberg; Mattias O'Nils; Francky Catthoor (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Model and Placement Optimization of a Sky Surveillance Visual Sensor Network. - Naeem Ahmad 001; Najeem Lawal; Mattias O'Nils; Bengt Oelmann; Muhammad Imran 021; Khursheed Khursheed (BWCCA, 2011)

Exploration of Tasks Partitioning between Hardware Software and Locality for a Wireless Camera Based Vision Sensor Node. - Khursheed Khursheed; Muhammad Imran 021; Abdul Waheed Malik; Mattias O'Nils; Najeem Lawal; Benny Thörnberg (PARELEC, 2011)

Architecture of wireless Visual Sensor Node with Region of Interest coding. - Muhammad Imran 021; Khursheed Khursheed; Naeem Ahmad 001; Mattias O'Nils; Najeem Lawal; Abdul Waheed Malik (NESEA, 2012)

Cost optimization of a sky surveillance visual sensor network. - Naeem Ahmad 001; Khursheed Khursheed; Muhammad Imran 021; Najeem Lawal; Mattias O'Nils (Real-Time Image and Video Processing, 2012)

Selection of bi-level image compression method for reduction of communication energy in wireless visual sensor networks. - Khursheed Khursheed; Muhammad Imran 021; Naeem Ahmad 001; Mattias O'Nils (Real-Time Image and Video Processing, 2012)

Complexity analysis of vision functions for implementation of wireless smart cameras using system taxonomy. - Muhammad Imran 021; Khursheed Khursheed; Naeem Ahmad 001; Abdul Waheed Malik; Mattias O'Nils; Najeem Lawal (Real-Time Image and Video Processing, 2012)

Detecting and coding region of interests in bi-level images for data reduction in Wireless Visual Sensor Network. - Khursheed Khursheed; Naeem Ahmad 001; Muhammad Imran 021; Mattias O'Nils (WiMob, 2012)

Architecture Exploration Based on Tasks Partitioning Between Hardware, Software and Locality for a Wireless Vision Sensor Node. - Muhammad Imran 021; Khursheed Khursheed; Abdul Waheed Malik; Naeem Ahmad 001; Mattias O'Nils; Najeem Lawal; Benny Thörnberg (Int. J. Distributed Syst. Technol., 2012)

Implementation of Wireless Vision Sensor Node for Characterization of Particles in Fluids. - Muhammad Imran 021; Khursheed Khursheed; Najeem Lawal; Mattias O'Nils; Naeem Ahmad 001 (IEEE Trans. Circuits Syst. Video Technol., 2012)

Low Complexity Background Subtraction for Wireless Vision Sensor Node. - Muhammad Imran 021; Naeem Ahmad 001; Khursheed Khursheed; Mattias O'Nils; Najeem Lawal (DSD, 2013)

Binary video codec for data reduction in wireless visual sensor networks. - Khursheed Khursheed; Naeem Ahmad 001; Muhammad Imran 021; Mattias O'Nils (Real-Time Image and Video Processing, 2013)

Analysis and characterization of embedded vision systems for taxonomy formulation. - Muhammad Imran 021; Khaled Benkrid; Khursheed Khursheed; Naeem Ahmad 001; Mattias O'Nils; Najeem Lawal (Real-Time Image and Video Processing, 2013)

Implementation of Wireless Vision Sensor Node With a Lightweight Bi-Level Video Coding. - Muhammad Imran 021; Naeem Ahmad 001; Khursheed Khursheed; Abdul Waheed Malik; Najeem Lawal; Mattias O'Nils (IEEE J. Emerg. Sel. Topics Circuits Syst., 2013)

Modeling and Verification of a Heterogeneous Sky Surveillance Visual Sensor Network. - Naeem Ahmad 001; Khursheed Khursheed; Muhammad Imran 021; Najeem Lawal; Mattias O'Nils (Int. J. Distributed Sens. Networks, 2013)

Model, placement optimisation and verification of a sky surveillance visual sensor network. - Naeem Ahmad 001; Muhammad Imran 021; Khursheed Khursheed; Najeem Lawal; Mattias O'Nils; Bengt Oelmann (Int. J. Space Based Situated Comput., 2013)

Energy Driven Selection and Hardware Implementation of Bi-Level Image Compression. - Muhammad Imran 021; Mattias O'Nils; Najeem Lawal (ICDSC, 2014)

Demo: SRAM FPGA based Wireless Smart Camera: SENTIOF-CAM. - Muhammad Imran 021; Mattias O'Nils; Najeem Lawal (ICDSC, 2014)

Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras. - Muhammad Imran 021; Khursheed Khursheed; Naeem Ahmad 001; Mattias O'Nils; Najeem Lawal; Abdul Waheed Malik (Int. J. Distributed Sens. Networks, 2014)

Energy-Efficient SRAM FPGA-Based Wireless Vision Sensor Node: SENTIOF-CAM. - Muhammad Imran 021; Khurram Shahzad; Naeem Ahmad 001; Mattias O'Nils; Najeem Lawal; Bengt Oelmann (IEEE Trans. Circuits Syst. Video Technol., 2014)

STC-CAM1, IR-visual based smart camera system. - Muhammad Imran 021; Mattias O'Nils; Victor Kardeby; Huma Munir (ICDSC, 2015)

Low complexity FPGA based background subtraction technique for thermal imagery. - Muhammad Imran 021; Mattias O'Nils; Huma Munir; Benny Thörnberg (ICDSC, 2015)

Design Exploration of a Multi-camera Dome for Sky Monitoring. - Najeem Lawal; Mattias O'Nils; Muhammad Imran 021 (ICDSC, 2016)

Exploration of preprocessing architectures for field-programmable gate array-based thermal-visual smart camera. - Muhammad Imran 021; Bernhard Rinner; Sajjad Zandi Zand; Mattias O'Nils (J. Electronic Imaging, 2016)

Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance. - Hiba H. Alqaysi; Najeem Lawal; Igor Fedorov; Mattias O'Nils (ICDSC, 2017)

Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring. - Igor Fedorov; Najeem Lawal; Mattias O'Nils; Hiba H. Alqaysi (ICDSC, 2017)

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)

Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring. - Hiba H. Alqaysi; Najeem Lawal; Igor Fedorov; Mattias O'Nils (ICDSC, 2018)

Towards calibration of outdoor multi-camera visual monitoring system. - Igor Fedorov; Najeem Lawal; Benny Thörnberg; Hiba H. Alqaysi; Mattias O'Nils (ICDSC, 2018)

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

Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study. - Khurram Shahzad; Mattias O'Nils (MetroInd4.0&IoT, 2018)

Analysis of Binary Image Coding Methods for Outdoor Applications of Wireless Vision Sensor Networks. - Khursheed Aurangzeb; Musaed A. Alhussein; Mattias O'Nils (IEEE Access, 2018)

Data Reduction Using Change Coding for Remote Applications of Wireless Visual Sensor Networks. - Khursheed Aurangzeb; Musaed A. Alhussein; Mattias O'Nils (IEEE Access, 2018)

Data Fusion for Timber Bundle Volume Measurement. - Marco Carratù; Consolatina Liguori; Antonio Pietrosanto; Mattias O'Nils; Jan Lundgren (I2MTC, 2019)

Design Exploration of Multi-Camera Dome. - Hiba H. Alqaysi; Najeem Lawal; Igor Fedorov; Benny Thörnberg; Mattias O'Nils (ICDSC, 2019)

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

Suitability of Communication Technologies for Harvester-Powered IoT-Nodes. - Silvia Krug; Sebastian Bader 002; Bengt Oelmann; Mattias O'Nils (WFCS, 2019)

Experimental Characterization of Latency in Distributed IoT Systems with Cloud Fog Offloading. - Tania Taami; Silvia Krug; Mattias O'Nils (WFCS, 2019)

Modeling and Comparison of Delay and Energy Cost of IoT Data Transfers. - Silvia Krug; Mattias O'Nils (IEEE Access, 2019)

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

Wireless Sensor Network Calibration for PM10 Measurement. - Marco Carratù; Matteo Ferro; Vincenzo Paciello; Paolo Sommella; Jan Lundgren; Mattias O'Nils (CIVEMSA, 2020)

A novel IVS procedure for handling Big Data with Artificial Neural Networks. - Marco Carratù; Consolatina Liguori; Antonio Pietrosanto; Mattias O'Nils; Jan Lundgren (I2MTC, 2020)

Deep Melanoma classification with K-Fold Cross-Validation for Process optimization. - Yali Nie; Laura De Santis; Marco Carratù; Mattias O'Nils; Paolo Sommella; Jan Lundgren (MeMeA, 2020)

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

A CNN-based approach to measure wood quality in timber bundle images. - Marco Carratù; Vincenzo Gallo; Consolatina Liguori; Antonio Pietrosanto; Mattias O'Nils; Jan Lundgren (I2MTC, 2021)

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)

A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms. - Hiba H. Alqaysi; Igor Fedorov; Faisal Z. Qureshi; Mattias O'Nils (J. Imaging, 2021)

Evaluation of 2D-/3D-Feet-Detection Methods for Semi-Autonomous Powered Wheelchair Navigation. - Cristian Vilar Giménez; Silvia Krug; Faisal Z. Qureshi; Mattias O'Nils (J. Imaging, 2021)

Multi-Camera Based Setup for Geometrical Measurement of Free-Falling Molten Glass Gob. - Mazhar Hussain; Mattias O'Nils; Jan Lundgren (Sensors, 2021)

Realworld 3D Object Recognition Using a 3D Extension of the HOG Descriptor and a Depth Camera. - Cristian Vilar; Silvia Krug; Mattias O'Nils (Sensors, 2021)

A Two-Layer 3-D Reconstruction Method and Calibration for Multicamera-Based Volumetric Positioning and Characterization. - Igor Fedorov; Benny Thörnberg; Hiba H. Alqaysi; Najeem Lawal; Mattias O'Nils (IEEE Trans. Instrum. Meas., 2021)

Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning. - Yali Nie; Marco Carratù; Mattias O'Nils; Paolo Sommella; Moise Avoci Ugwiri; Jan Lundgren (I2MTC, 2022)

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)

Improving Deep Learning Based Anomaly Detection on Multivariate Time Series Through Separated Anomaly Scoring. - Adam Lundström; Mattias O'Nils; Faisal Z. Qureshi; Axel Jantsch (IEEE Access, 2022)

Recent Advances in Diagnosis of Skin Lesions Using Dermoscopic Images Based on Deep Learning. - Yali Nie; Paolo Sommella; Marco Carratù; Matteo Ferro; Mattias O'Nils; Jan Lundgren (IEEE Access, 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)

An innovative method for log diameter measurements based on deep learning. - Marco Carratù; Vincenzo Gallo; Consolatina Liguori; Antonio Pietrosanto; Mattias O'Nils; Jan Lundgren (I2MTC, 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)

A Deep Learning Approach for Classification and Measurement of Hazardous Gases Using Multi-Sensor Data Fusion. - Mazhar Hussain; Mattias O'Nils; Jan Lundgren; Mehdi Akbari Saatlu; Rikard Hamrin; Claes G. Mattsson (SAS, 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 Interactive Threshold-Setting Procedure for Improved Multivariate Anomaly Detection in Time Series. - Adam Lundström; Mattias O'Nils; Faisal Z. Qureshi (IEEE Access, 2023)

Factory-Based Vibration Data for Bearing-Fault Detection. - Adam Lundström; Mattias O'Nils (Data, 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)

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)

Towards Practically Applicable Transfer Learning Methods for Remaining Useful Life Prediction of Bearings. - Adam Lundström; Mattias O'Nils; Faisal Z. Qureshi (INDIN, 2024)

A Comprehensive Review on Deep Learning-Based Data Fusion. - Mazhar Hussain; Mattias O'Nils; Jan Lundgren; Seyed Jalaleddin Mousavirad (IEEE Access, 2024)

Contextual Knowledge-Informed Deep Domain Generalization for Bearing Fault Diagnosis. - Adam Lundström; Mattias O'Nils; Faisal Z. Qureshi (IEEE Access, 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)

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)

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)

A Prognostic Framework for Rotating Machines Considering Multi-Component Fault Scenarios. - Adam Lycksam; Mattias O'Nils; Faisal Z. Qureshi (IEEE Access, 2025)