Mattias O’Nils

Mid Sweden University — Sweden

Computer Science · Physical Sciences

18h-index1.3kcitations196works2.82yr avg
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Research Topics

Embedded Systems Design Techniques(53), CCD and CMOS Imaging Sensors(42), Energy Efficient Wireless Sensor Networks(28), Parallel Computing and Optimization Techniques(18), Interconnection Networks and Systems(16)

Publications196 total

AdAPT: Advertisement detector adaptation under newspaper domain shift with null-based pseudo-labeling
Machine Learning with Applications·2025Open Access
Machine Learning-Based Near-Field Localization in Mixed LoS/NLoS Scenarios
2025
Neural Network-Based Sensor-Guided Exposure Control Eliminating Multi-Frame Input
2025
AdVision: An efficient and effective deep learning based advertisement detector for printed media
Machine Learning with Applications·2025· 1 citedOpen Access
Temporal Image Sequence Fusion with PSO-Optimised CNN Transfer Learning for Plant Temporal State Categorisation
2025
Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach
2025
Efficient Inference of parallel partitioned hybrid-Vision Transformers
2025· 2 citedOpen Access
Quantization-Aware Training for Autoencoder-Based Partitioning of CNNs
2025· 1 cited
A Prognostic Framework for Rotating Machines Considering Multi-Component Fault Scenarios
IEEE Access·2025· 1 citedOpen Access
Quantization Compensator Network: Server-Side Feature Reconstruction in Partitioned IoT Systems
IEEE Access·2025Open Access
TCL: Time-Dependent Clustering Loss for Optimizing Post-Training Feature Map Quantization for Partitioned DNNs
IEEE Access·2025Open Access
Cross-Section-Based Method for LiDAR Dataset Generation With Multipath-Resilient Ground Truth
IEEE Transactions on Instrumentation and Measurement·2025· 1 cited
Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime Predictions
Electronics·2024· 3 citedOpen Access
Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media
Communications in computer and information science·2024· 3 cited
Towards Practically Applicable Transfer Learning Methods for Remaining Useful Life Prediction of Bearings
2024· 2 cited
An Automated Temporal Sorting System for Plant Growth Using Deep CNN Transfer Learning
2024· 2 cited
An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth
2024· 5 cited
Design and Evaluation of a Soft Sensor for Snow Weight Measurement
2024
Method for Capturing Measured LiDAR Data with Ground Truth for Generation of Big Real LiDAR Data Sets
2024
Multi-Path Interference Denoising of LiDAR Data Using a Deep Learning Based on U-Net Model
2024· 2 cited
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Frequent Co-authors

Najeem Lawal(12), Khursheed Khursheed(9), Muhammad Imran(9), Jan Lundgren(8), Marco Carratù(7), Silvia Krug(7), Naeem Ahmad(7), Axel Jantsch(7), Consolatina Liguori(5), Bengt Oelmann(5), Irida Shallari(5), Yali Nie(4), Paolo Sommella(4), Benny Thörnberg(4), Faisal Z. Qureshi(3), Anzar Alam(3), Anatoliy Manuilskiy(3), Jan Thim(3), Antonio Pietrosanto(3), Vincenzo Gallo(3)