Tag: machine learning
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
I am thrilled to share with you our recently published article: Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Filippo Sanfilippo, Malik Naveed Akhter, and Shahzaib Farooq Hadi. Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-based Deep Learning Model. IEEE Access (2023). Abstract: Stress affects individual of all ages as a regular part of life, but excessive and chronic stress can lead to physical and mental health problems, decreased productivity
Step Towards Secure and Reliable Smart Grids in Industry 5.0: A Federated Learning assisted Hybrid Deep Learning Model for Electricity Theft Detection using Smart Meters
Step Towards Secure and Reliable Smart Grids in Industry 5.0: A Federated Learning assisted Hybrid Deep Learning Model for Electricity Theft Detection using Smart Meters.I am very excited to share our newly published article authored by: Muhammad Hamza Zafar, Syed Muhammad Salman Bukhari, Mohamad Abou Houran, Syed Kumayl Raza Moosavi, Majad Mansoor, Nedaa Al-Tawalbeh, and Filippo SanfilippoAbstractThe integration of Smart Grid technology and conceptual Industry 5.0 has paved the way fo
Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles
Exciting News! Our novel research on Li-ion battery technology in electric vehicles (EVs) has been accepted for publication in the renowned journal of Energy, with an impact factor of 9.0. Level 2 Journal: Our work has been acknowledged as a Level 2 journal publication according to the Norwegian Scientific Index. This distinction further reinforces the academic value and impact of our study. Battery Coast Strategy: This paper holds immense relevance to the Battery Coast Strategy at the Univers
Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
A new paper has been published in the journal Energy Conversion and Management. The selected article is: Muhammad Hamza Zafar, Noman Mujeeb Khan, Majad Mansoor, Adeel Feroz Mirza, Syed Kumayl Raza Moosavi, Filippo Sanfilippo. Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems. Energy Conversion and Management, Volume 258, 2022, 115564, ISSN 0196-8904, https://doi.org/10.1016/j.enconman.2022.115564. This work is supported b
Three positions open as PhD and Postdoc at University of Agder (UiA)
Three positions open as PhD and Postdoc at University of Agder (UiA) in the following areas: PhD student position: "PhD Research Fellow in Artificial Intelligence and Machine Learning tools for UAV communications: focus on wireless communications, machine learning, signal processing, and artificial intelligence". PhD student position: "PhD Research Fellow in Artificial Intelligence and Machine Learning tools for UAV communications: focus on control theory, aerial robotics
PhD Research Fellow in Artificial Intelligence and Machine Learning tools for UAV communication
Do you want to join our vibrant and motivated research team at the University of Agder (UiA), and start your research journey in the field of wearables, cobots, mechatronics, machine learning, sensor fusion? The following PhD Fellowship is currently open for application: PhD Research Fellow in Artificial Intelligence and Machine Learning tools for UAV communication
PhD Research Fellow in assistive robotics for augmenting situational awareness (SA) of people with autism spectrum disorder (ASD)
Do you want to join our vibrant and motivated research team at the University of Agder (UiA), and start your research journey in the field of wearables, cobots, mechatronics, machine learning, sensor fusion? The following PhD Fellowship is currently open for application: PhD Research Fellow in assistive robotics for augmenting situational awareness (SA) of people with autism spectrum disorder (ASD)
PhD Research Fellow in Collaborative Robots (CoBots) for search and rescue (SAR), at UiA
Do you want to join our vibrant and motivated research team at the University of Agder (UiA), and start your research journey in the field of cobots, mechatronics, machine learning, sensor fusion? The following PhD Fellowship is currently open for application: PhD Research Fellow in Collaborative Robots (CoBots) for search and rescue (SAR)
Filippo Sanfilippo