TY - JOUR
T1 - Guest Editorial Special Issue on Integrated Computing : Computational Intelligence Paradigms and Internet of Things for Industrial Applications
AU - RODRIGUES, Joel J.P.C.
AU - WANG, Xizhao
AU - SANGAIAH, Arun Kumar
AU - SHENG, Michael
PY - 2018/6
Y1 - 2018/6
N2 - Recently, Integrated computing (IC) provides a promising solution to the industry for building the Internet of Things (IoT) systems and make innovation at a rapid pace. The new era of IC with reference to IoT for Industrial applications has three main components: 1) intelligent devices; 2) intelligent system of systems; and 3) end-to-end analytics. This Special Issue is integrating computational intelligence (CI) paradigms, advanced data analytics optimization opportunities to bring more compute to the IoT. CI paradigms are more appropriate for handling uncertainty and complexity of solving real work problems compared to traditional statistical approaches and tools presently being utilized. In fact, recent literatures have addressed the inherent power of fusion of CI approaches. Moreover, it can provide the effective solutions for machine understanding of data (structured/semi structured), optimization problems, specifically, dealing with incomplete or inconsistent information, with limited computational capability related to IoT.
AB - Recently, Integrated computing (IC) provides a promising solution to the industry for building the Internet of Things (IoT) systems and make innovation at a rapid pace. The new era of IC with reference to IoT for Industrial applications has three main components: 1) intelligent devices; 2) intelligent system of systems; and 3) end-to-end analytics. This Special Issue is integrating computational intelligence (CI) paradigms, advanced data analytics optimization opportunities to bring more compute to the IoT. CI paradigms are more appropriate for handling uncertainty and complexity of solving real work problems compared to traditional statistical approaches and tools presently being utilized. In fact, recent literatures have addressed the inherent power of fusion of CI approaches. Moreover, it can provide the effective solutions for machine understanding of data (structured/semi structured), optimization problems, specifically, dealing with incomplete or inconsistent information, with limited computational capability related to IoT.
UR - http://www.scopus.com/inward/record.url?scp=85055272575&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2018.2838958
DO - 10.1109/JIOT.2018.2838958
M3 - Editorial/Preface (Journal)
AN - SCOPUS:85055272575
SN - 2327-4662
VL - 5
SP - 1572
EP - 1574
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 3
M1 - 8376083
ER -