Regular Papers

Volume 111, Issue 1

January 2023

Regular Papers

Scanning the Issue

Machine Learning for Emergency Management: A Survey and Future Outlook

By C. Kyrkou, P. Kolios, T. Theocharides, and M. Polycarpou

This article surveys machine learning for all phases of emergency management, focusing on key characteristics and challenges, and its application across the different phases and operations.

Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review

By M. M. Hossain Shuvo, S. K. Islam, J. Cheng, and B. I. Morshed

This article provides a comprehensive review of the state-of-the-art tools and techniques for efficient edge inference, a vital element of artificial intelligence on edge.

Technology Prospects for Data-Intensive Computing

By K. Akarvardar and H.-S. P. Wong

This article advances the idea that data-intensive computing will further cement semiconductor technology as a foundational technology with multidimensional pathways for growth.