Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
This guide contains essential information about the legal rule that enabled the Post Office to wrongly prosecute ...
School of Computing Instruction faculty member Aaron Hillegass designed the assignment to challenge students to build an AI ...
Abstract: A convolutional neural network (CNN) is one of the most significant networks in the deep learning field. Since CNN made impressive achievements in many areas, including but not limited to ...
Abstract: After upgrading to 5G, a network operator still faces congestion when providing the ubiquitous wireless service to the crowd. To meet users’ ever-increasing demand, some other operators (e.g ...