Results 171 to 180 of about 106,211 (332)
A Novel Approach to Energy Management in Electric Steelworks
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Anand J, Karthikeyan B.
europepmc +1 more source
Assessing Capability Complexity Using Enterprise Architecture Framework
ABSTRACT This study proposes a structured and quantitative methodology to evaluate the holistic complexity of system‐of‐systems (SoSs), employing the Zachman Architecture Framework (ZAF) as its foundational analytical tool. A five‐phase analytical procedure is developed and empirically validated, encompassing: (1) refinement of complexity measures, (2)
Javad Bakhshi, Mahmoud Efatmaneshnik
wiley +1 more source
An intelligent job scheduling and real-time resource optimization for edge-cloud continuum in next generation networks. [PDF]
Naeem AB +4 more
europepmc +1 more source
ABSTRACT Systems Engineering (SE) relies on industry–academia collaboration for much of its research. Such collaborations are frequently described valuable in practice. At the same time, there is a need to align between partners to maximize the value of collaboration through acknowledging and working with nuances between parties to share and develop ...
Johan Cederbladh, Simon Sjölund
wiley +1 more source
A novel approach for dynamic task scheduling for IOT in fog-cloud environment. [PDF]
Mindil A +3 more
europepmc +1 more source
Abstract Despite its potential benefits, empirical research on researcher–practitioner collaboration within collaborative teaching study groups (CTSGs) remains limited, particularly regarding how this collaboration is manifested and constructed. This study aims to fill this gap by documenting a 9‐year collaborative initiative that facilitated the ...
Yan Zhu, Bo Peng, Dingfang Shu
wiley +1 more source
Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]
Zhang W, Ou H.
europepmc +1 more source
Automaton-based timed supervisory control for operational planning and scheduling under multiple job deadlines [PDF]
Liyong Lin +3 more
openalex +1 more source

