Mazhar Hussain

Publikationer

Artiklar i tidskrifter
Doktorsavhandlingar, sammanläggningar
Konferensbidrag
Dataset

Artiklar i tidskrifter

Hussain, M. , O'Nils, M. , Lundgren, J. & Seyed Jalaleddin, M. (2024). A Comprehensive Review On Deep Learning-Based Data Fusion. IEEE Access, vol. 12, ss. 180093-180124.    

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.    

Hussain, M. , O'Nils, M. & Lundgren, J. (2021). Multi-Camera Based Setup for Geometrical Measurement of Free-Falling Molten Glass Gob. Sensors, vol. 21: 4    

Doktorsavhandlingar

Hussain, M. (2025). Multi-Sensor Data Fusion for Improved Estimation and Prediction of Physical Quantities. Diss. (Sammanläggning) Sundsvall : Mid Sweden University, 2025 (Mid Sweden University doctoral thesis : 422)  

Konferensbidrag

Hussain, M. , Pietrosanto, A. , Liguori, C. , Paciello, V. & De Santo, M. (2025). ChatGPT in the Engineering Classroom : A Pre-Study on Students’ Perceptions and Experience. I Proceedings of the 58th Hawaii International Conference on System Sciences : track Generative Artificial Intelligence in Higher EducationHilton Waikoloa Village Kona Hawaiʻi USA January 7-10 2025. University of Hawaiʻi at Mānoa : . S. 4916--4923.  

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.

Hussain, M. , O'Nils, M. , Lundgren, J. , Akbari-Saatlu, M. , Hamrin, R. & Mattsson, C. (2023). A Deep Learning Approach for Classification and Measurement of Hazardous Gases Using Multi-Sensor Data Fusion. I 2023 IEEE Sensors Applications Symposium (SAS).  

Hussain, M. , Franked, L. & Björkqvist, O. (2023). Experiences of using LMS tools for implementing asynchronous interactive media to enhance student interaction in distance education. I Bidrag från den 9:e utvecklingskonferensen för Sveriges ingenjörsutbildningar. Västerås : . S. 287--295.

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).  

Dataset

Hussain, M. (2023). Multi-sensor dataset for normal air, Methyl Mercaptan and Hydrogen Sulfide gas classification.