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Computational Intelligence for Internet of Things in the Big Data Era (Part I) [Guest Editorial]

Celimuge Wu, Guoliang Xue, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir
2019 IEEE Computational Intelligence Magazine  
BeSense This special issue focuses on the research challenges of computational intelligence technologies toward trustworthy IoT in the Big Data Era. (continued on page 88)  ...  This special issue focuses on the technical challenges and the synergistic effect of Big Data and CI for trustworthy IoT. We were successful in attracting 47 submissions.  ...  Guest Editorial (continued from page 11) This special issue focuses on the research challenges of computational intelligence technologies toward trustworthy IoT in the Big Data Era.  ... 
doi:10.1109/mci.2019.2937607 fatcat:sfrdmjegnrbe3goabh3xgvqavi

Guest Editorial: Big Data for Driver, Vehicle, and System Control in ITS

Wei-Hua Lin, Hongchao Liu, Hong K. Lo
2016 IEEE transactions on intelligent transportation systems (Print)  
This special issue covers some of the recent research on big data for drivers, vehicles, and system control in ITS. A total of 11 papers are included in this special issue.  ...  His research interests include traffic operation and control, intelligent transportation systems, data analytics, and transportation system modeling. Dr.  ... 
doi:10.1109/tits.2016.2564218 fatcat:dg5t6ffcmbbx3cxrshhra2uxnm

Guest Editorial: Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data - Selected Papers from World Congress for Transport Research (WCTR) 2019

2020 IET Intelligent Transport Systems  
As the Guest Editors of this Special Section of IET Intelligent Transport Systems for the WCTR2019, we would like to elaborate on the seven selected papers below.  ...  of data driven transport research: two representative case studies'.  ...  As the Guest Editors of this Special Section of IET Intelligent Transport Systems for the WCTR2019, we would like to elaborate on the seven selected papers below.  ... 
doi:10.1049/iet-its.2020.0215 fatcat:ohjqbrnjovd7zcydpqz5x2sipy

Guest Editorial Special Issue on Big Data and Computational Intelligence for Agile Wireless IoT

Celimuge Wu, Yaochu Jin, Jie Li, Kok-Lim Alvin Yau, Junaid Qadir
2020 IEEE Transactions on Emerging Topics in Computational Intelligence  
His research interests lie primarily in the cross-disciplinary areas of computational intelligence, computational neuroscience, and computational systems biology.  ...  He has coauthored more than 300 peer-reviewed journal and conference papers and been granted eight patents on evolutionary optimization.  ...  He is the Chair of IEEE special interest group on Big Data with Computational Intelligence.  ... 
doi:10.1109/tetci.2020.2990757 fatcat:zhazvvuqnfd37akhafi7kiptoq

IT in Smart Cities Call for Papers

2015 IT Professional Magazine  
This special issue of IT Professional seeks to present readers with the trends, issues, novel solutions, applications, and practices that promote IT-driven smart cities.  ...  and application development, sensing, resource-efficient smart services, intelligent transportation, middleware and infrastructure for urban computing, and privacy and security issues.  ...  • Emerging/novel applications • Software and tools for smart cities • Smart systems architecture for smart cities • Cloud services for smart cities • Intelligent transportation, water, and energy systems  ... 
doi:10.1109/mitp.2015.74 fatcat:dl4cpuckzzetvl4lwhj7vsrppe

Introduction to the Special Issue

Jianzhong Li
2016 Data Science and Engineering  
The Special Issue consists of six papers. The special issue begins with the paper "Medical big data: neurological diseases diagnosis through medical data analysis" by Siuly Siuly and Yanchun Zhang.  ...  Scientific research methods will transform from the previous hypothesis-driven ones to the data-driven ones. By querying, mining and analyzing big data, scientists can find novel phenomenon and laws.  ... 
doi:10.1007/s41019-016-0010-4 fatcat:4wmyrbaglzefjhdfrgtyontgpq

Big Data and Intelligent Decisions: Introduction to the Special Issue

Deng-Feng Li, Peide Liu, Kevin W. Li
2021 Group Decision and Negotiation  
Kersten, for their great support and guidance throughout the process of organizing this special issue.  ...  Acknowledgements We sincerely thank all authors for their contributions to this special issue and the reviewers for volunteering their time and expertise to review the submissions.  ...  This special issue of Group Decision and Negotiation entitled "Big Data and Intelligent Decisions" focuses on theoretical and empirical investigations of big data and intelligent decision tools in group  ... 
doi:10.1007/s10726-021-09764-9 fatcat:vura2cu7yzhxzj545ruoep54ce

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Ilias O. Pappas, Patrick Mikalef, Michail N. Giannakos, John Krogstie, George Lekakos
2018 Information Systems and E-Business Management  
Building upon the rapidly developing research on digital technologies and the strengths that information systems discipline brings in the area, we conceptualize big data and business analytics ecosystems  ...  Second, we gain deeper insight on which capabilities need to be developed to harness the potential of big data analytics.  ...  Shaw, for giving us the opportunity to work in this special issue.  ... 
doi:10.1007/s10257-018-0377-z fatcat:pfhhsdqzofe5tnmpxv5anu4puu

Artificial-Intelligence-Driven Fog Radio Access Networks: Recent Advances and Future Trends

Mugen Peng, Tony Q.S. Quek, Guoqiang Mao, Zhiguo Ding, Chonggang Wang
2020 IEEE wireless communications  
This special issue focuses on the state-of-the-art protocols, techniques and applications of AI-driven F-RANs.  ...  and privacy in the big data era.  ...  He served as the Founding Editor-in-Chief of IEEE Internet of Things Journal (2014-2016 and is currently the Associate Editor-in-Chief of IEEE Transactions on Big Data.  ... 
doi:10.1109/mwc.2020.9085257 fatcat:vnlubplcdneg7dev7a7tyl3w2q

Traffic Big Data in the Development of Intelligent Transportation System

Qiang Shi, Lei Wang, Taojie Wang
2018 Journal of Electronic Research and Application  
This review paper briefly elaborates on the basic characteristics and sources of traffic big data as well as expound on the problems and application mechanisms of big data in intelligent transportation  ...  With the continuous development and advancement of computer technology, big data guarantees the establishment of an urban intelligent transportation system, a solid environmental basis to reform its application  ...  Problems of big data in intelligent transportation systems Although intelligent transportation systems provide convenience for travelers, there are certain problems regarding big data that require urgent  ... 
doi:10.26689/jera.v2i4.507 fatcat:44pdhznvjfgmjnqhflerbnf7mu

[Front matter]

2021 2021 IEEE 12th International Conference on Software Engineering and Service Science (ICSESS)  
IEEE ISESS intended to tackle these challenges and will bring together Researchers, engineers and practitioners working on the latest issues in Deep Learning and Big Data; Intelligent System Architectures  ...  some of the most recent innovations, trends, experiences and concerns in the fields of Deep Learning and Big Data, Intelligent System Architectures, Intelligent Web and Algorithm, Software Engineering  ... 
doi:10.1109/icsess52187.2021.9522358 fatcat:o4lfyuxbgrcy5eaopx3etvxzse

[Front Matter]

2020 2020 IEEE 11th International Conference on Software Engineering and Service Science (ICSESS)  
IEEE ISESS intended to tackle these challenges and will bring together Researchers, engineers and practitioners working on the latest issues in Deep Learning and Big Data; Intelligent System Architectures  ...  some of the most recent innovations, trends, experiences and concerns in the fields of Deep Learning and Big Data, Intelligent System Architectures, Intelligent Web and Algorithm, Software Engineering  ... 
doi:10.1109/icsess49938.2020.9237749 fatcat:eph6slgwlbakjhzqfqfydwb2by

Intelligent cloud computing

Mario Pavone, Rabie A. Ramadan, Athanasios V. Vasilakos
2016 Memetic Computing  
intelligent to intelligent systems.  ...  Several factors have affected, and are affecting the revolution of AI, such as the data driven products, new platforms, and the maturity of machine learning supported by cloud computing technology.  ...  framework based on cloud computing for the class of the big data optimization problems.  ... 
doi:10.1007/s12293-016-0214-1 fatcat:4uzilrx3tfge5p63nln4udj2ja

Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies

Seung-Hyun Kong, Yisheng Lv, Hai L. Vu, Juan-Carlos Cano, Jun-Won Choi, Dongsuk Kum, Brendan Tran Morris
2019 IEEE transactions on intelligent transportation systems (Print)  
This special issue of IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS can be a flagship issue to draw the attention of the technical and scientific communities to the AI technologies studied and  ...  for far more enhanced traffic efficiency; and machine learning based on big data is improving the operational performance of transportation systems to the next level of safety, efficiency, and sustainability  ...  Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies T HERE has been an increasing level of demand for faster, safer and greener transportation  ... 
doi:10.1109/tits.2019.2940856 fatcat:wrvsx6pgyfbjxlgnfekr7g7ovu

Data-driven smart sustainable cities of the future: urban computing and intelligence for strategic, short-term, and joined-up planning

Simon Elias Bibri
2021 Computational Urban Science  
This is enabled by the kind of data-driven and model-driven decision support systems associated with urban computing and intelligence.  ...  This study expands on prior work done to develop a novel model for data-driven smart sustainable cities of the future.  ...  based on big data analytics.  ... 
doi:10.1007/s43762-021-00008-9 fatcat:jtqd6rbmbvhcfls6bqmlniz7m4
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