Event-Driven Deep Learning for Edge Intelligence (EDL-EI) (open access)

Event-Driven Deep Learning for Edge Intelligence (EDL-EI)

Article on deep-learning framework for edge intelligence EDL-EI (event-driven deep learning for edge intelligence). To verify the proposed framework, the authors include a case study of air-quality scenarios based for the most polluted cities in South Korea and China.
Date: September 8, 2021
Creator: Shah, Sayed Khushal; Tariq, Zeenat; Lee, Jeehwan & Lee, Yugyung
System: The UNT Digital Library
Ecological determinants of smart home ecosystems: A coopetition framework (open access)

Ecological determinants of smart home ecosystems: A coopetition framework

Article describing the strategic motivations and critical factors involved in the competition-based evolution of smart home ecosystems from early to growth phases, leading to a decision among the largest competitors to engage in coopetition.
Date: September 8, 2021
Creator: Struckell, Elisabeth; Ojha, Divesh; Patel, Pankaj C. & Dhir, Amandeep
System: The UNT Digital Library