Call for Papers: Special Issue on Deep Learning and Computer Vision for Industry 4.0

[jalal mousavirad]

Dear Colleagues,

I hope this message finds you well. I am writing to share an exciting Call for Papers for a Special Issue on Deep Learning and Computer Vision for Industry 4.0 and Emerging Technologies in the journal CMC-Computers, Materials & Continua (SCIE IF=2.0, JCR Q3).

Submission Details:

Special Issue Page:

https://www.techscience.com/journal/cmc

Deadline for Submissions: 31 March 2025

This special issue aims to explore the impact of deep learning and computer vision within the context of Industry 4.0 and other emerging technologies. We will focus on the latest research, innovative applications, and future trends shaping this dynamic field. Key areas of focus will include, but not limited to:

• Automated Quality Control: Leveraging deep learning for real-time inspection and quality assurance, minimizing human error, and ensuring consistent product standards.
• Predictive Maintenance: Using computer vision to monitor equipment health and predict failures, thus reducing downtime and maintenance costs.
• Robotic Automation: Enhancing industrial robots' capabilities with deep learning algorithms for tasks such as object recognition, sorting, and assembly.
• Smart Manufacturing: Integrating AI and computer vision to create intelligent factories that autonomously adapt and optimize processes.
• Augmented Reality (AR) and Virtual Reality (VR): Applying computer vision to AR/VR systems for immersive training, remote assistance, and complex assembly tasks.
• Embedded Machine Learning: Implementing deep learning algorithms on embedded systems to enable real-time decision-making and analytics at the edge, enhancing efficiency and reducing latency.
• Internet of Things (IoT): Combining deep learning and computer vision with IoT to enable intelligent, connected devices that enhance data collection, analysis, and decision-making processes in real-time.
• Exploring the intersection of deep learning and computer vision with other emerging technologies such as 5G, blockchain, and quantum computing to push the boundaries of industrial innovation.

Guest Editors:

• Dr. Seyed Jalaleddin Mousavirad, Mid Sweden University
• Dr. Irida Shallari, Mid Sweden University
• Prof. Mattias O'Nils, Mid Sweden University

We encourage you to contribute your expertise to this important field. Thank you for considering this opportunity!

Best regards,

Seyed Jalaleddin Mousavirad