Submission Deadline: 30 April 2027 View: 144 Submit to Special Issue
Prof. Dr. Jonatan Lerga
Email: jonatan.lerga@riteh.uniri.hr
Affiliation: Faculty of Engineering, University of Rijeka, Rijeka, Croatia
Research Interests: artificial intelligence applications, computer vision, digital signal processing
Assist. Prof. Nikola Lopac
Email: nikola.lopac@pfri.uniri.hr
Affiliation: Faculty of Maritime Studies, University of Rijeka, Rijeka, Croatia
Research Interests: artificial intelligence, deep learning, machine learning, computer vision, digital signal processing, autonomous navigation
Assist. Prof. Nikola Anđelić
Email: nikola.andjelic@riteh.uniri.hr
Affiliation: Faculty of Engineering, University of Rijeka, Rijeka, Croatia
Research Interests: artificial intelligence, machine learning, evolutionary algorithms, genetic programming, symbolic programming, imbalanced learning, data balancing techniques
Artificial Intelligence is rapidly transforming engineering by enabling smarter, faster, and more reliable solutions to complex technical challenges. From signal and image processing, computer vision, predictive maintenance, intelligent manufacturing, digital twins, autonomous systems, smart grids, robotics, and data-driven design, AI is becoming a key driver of innovation across engineering disciplines.
This special issue invites high-quality original research and review papers presenting novel AI methods for signal and image processing in practical engineering applications. Contributions may address theoretical developments, signal and image analysis and processing, experimental studies, industrial implementations, or emerging interdisciplinary solutions.
Potential topics include, but are not limited to:
· Machine Learning and Deep Learning for Signal and Image Processing
· Explainable and Trustworthy AI for Signal and Image Processing
· Computer Vision and Pattern Recognition with Engineering Applications
· Predictive Maintenance and Fault Diagnosis
· Intelligent Manufacturing and Industry 4.0
· Robotics and Autonomous Systems
· Digital Twins and Smart Simulation
· AI-Based Optimisation and Decision Support in Engineering
· Smart Grids, Energy Systems, and Sustainable Engineering
· AI in Civil, Mechanical, Electrical, Computer, Maritime, and Materials Engineering
· Cyber-Physical Systems, Smart Sensors, and IoT
· Human-Centred AI and Human-Machine Interaction
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