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Guest Editorial: Machine Vision Applications

Yasuyo Kita, Hiroshi Ishikawa, Takeshi Masuda
2017 International Journal of Computer Vision  
In addition, the computational environment, such as massive progress of computational power and the accumulation of common big data, as well as the ubiquity of 2D and 3D cameras, enables machine vision  ...  Machine vision, system-oriented and application-oriented subarea of computer vision, has drastically progressed over the last few decades along with the progress of computer vision theories and been playing  ...  In addition, the computational environment, such as massive progress of computational power and the accumulation of common big data, as well as the ubiquity of 2D and 3D cameras, enables machine vision  ... 
doi:10.1007/s11263-017-0990-1 fatcat:tytmngwqejdezjsjoj766kqxom

Guest Editorial: AI for COVID-19

Yuxiao Dong, Marinka Zitnik
2021 IEEE Transactions on Big Data  
His research focuses on representation learning, graph neural networks, knowledge graphs, and data mining, with an emphasis on developing machine learning models to addressing problems in Web-scale systems  ...  She is a computer scientist studying machine learning, focusing on challenges brought forward by data in science, medicine, and health.  ... 
doi:10.1109/tbdata.2021.3057121 dblp:journals/tbd/DongZ21 fatcat:7p3hl3acljgk5gkgl6tviloeam

Guest Editorial: Computational Intelligence and Applications

Vijayan Sugumaran, T. V. Geetha, D. Manjula, Hema Gopal
2017 Information Systems Frontiers  
Her teaching and research interests include Cloud Computing, Social Network Analysis, Information Retrieval, Language Technologies, Data Mining, Text Mining, Imaging and Networks.  ...  D. by Anna University, Chennai in 2004.  ...  While applying CI in general that would predict a generic human behavior, a single type of machine learning algorithm may not be sufficient.  ... 
doi:10.1007/s10796-017-9794-7 fatcat:cjjo4mofcvg7bowng2qatiydp4

Guest Editorial

Myron M. Miller
1994 Journal of International Marketing  
Guest Editorial Myron M.  ...  terms of future buying power.  ... 
doi:10.1177/1069031x9400200401 fatcat:qzf7lqw4lnb4void4xgfeyyv7u

Guest Editorial: Special Issue on Computing Frontiers

Martin Schulz, Kento Sato
2021 Journal of Signal Processing Systems  
Technology is experiencing revolutions in memory devices and systems, networks, electronic device production, machine learning, data analytics, cloud computing, techniques to improve power and energy efficiency  ...  Early research that envisions future technologies provides the bases that allow novel materials, devices, and systems to become mainstream.  ... 
doi:10.1007/s11265-020-01613-3 fatcat:g64khlcednhnra5hejzkkw2vqe

Guest Editorial: Learning-Based Edge Computing Services

Min Chen, Haiyang Wang, Kai Hwang, Giancarlo Fortino, Jeungeun Song, Limei Peng, Joze Guna
2021 IEEE Network  
IoT services and applications assisted by machine learning and edge computing. • Intelligent decision-making systems for learning-based edge computing services. • Smart task caching at edges by joint  ...  strategies for learning-based edge computing services in IoT. • Machine learning, AI and other innovative optimization approaches for learning-based edge computing services. • Intelligent and interactive  ...  by using an LEARNING-BASED EDGE COMPUTING SERVICES GUEST EDITORIAL Kai Hwang Giancarlo Fortino Jeungeun Song Limei Peng Jože Guna Min Chen Haiyang Wang agent-oriented approach where agents autonomously  ... 
doi:10.1109/mnet.2021.9355037 fatcat:xu2znnsebnbnpmwhjh7qcm6rgq

Guest Editorial Multimedia Computing With Interpretable Machine Learning

Y. Tian, C. Snoek, J. Wang, Z. Liu, Lienhart, S. Boll
2020 IEEE transactions on multimedia  
Guest Editorial Multimedia Computing With Interpretable Machine Learning I.  ...  Instead of general interpretability in AI, interpretable machine learning is defined by W. J.  ... 
doi:10.1109/tmm.2020.2991292 fatcat:mdwlpuwarvdtrfiofjbi2j4hu4

Guest Editorial for "Artificial Intelligence for Cognitive Wireless Communications"

Kai Hwang, Min Chen, Hamid Gharavi, Victor C M Leung
2019 IEEE wireless communications  
Derived from cognitive science and data analytics, cognitive computing can mimic or augment human intelligence, and exhibits great potential to power smart wireless communication networks.  ...  , optimized wireless communication physical layer design based on reinforcement learning, adaptive wireless resource management based on cognitive power, etc.  ...  The work is a leading study to provide intelligence for the future generation autonomous driving.  ... 
pmid:31579263 pmcid:PMC6774379 fatcat:43co5nivn5binkgrg5gewhjb3u

Special issue on Semantic Information Management guest editorial

Gabriele Kotsis, Ismail Khalil
2013 Information Systems Frontiers  
The current shared vision for the future is one of semantically rich information and service oriented architecture for global information systems.  ...  There are various number of services provided by the cloud, from computing power, storage, to various software applications.  ...  Acknowledgement The guest editors and iiWAS2010 organizers would like to thank ISF Editors-in-Chief and Springer for the collaboration opportunity in this special issue.  ... 
doi:10.1007/s10796-013-9426-9 fatcat:npgwwubtczc3rpb5xpulxrvaki

Guest Editorial: Special Topic on Data-Enabled Theoretical Chemistry

Matthias Rupp, O. Anatole von Lilienfeld, Kieron Burke
2018 Journal of Chemical Physics  
A survey of the contributions to the Special Topic on Data-enabled Theoretical Chemistry is given, including a glossary of relevant machine learning terms.  ...  The same revolution has also been occurring in many branches of theoretical and computational chemistry, driven by the same force: the never-ending increase in data being generated by computers.  ...  guide to the methods (both quantum chemical and computer science) and the systems included.  ... 
doi:10.1063/1.5043213 pmid:29960312 fatcat:rzblexjsdjertmpf4tlxscvgwu

Guest Editorial: 6G: The Paradigm for Future Wireless Communications

Shahid Mumtaz, Chunxiao Jiang, Antti Tolli, Anwer Al-Dulaimi, M. Majid Butt, Hafiz M. Asif, Muhammad Ikram Ashraf
2022 IEEE wireless communications  
learning (FL) in visible light communication (VLC) networks.  ...  The penultimate article, "Satellite Based Computing Networks with Federated Learning" written by Chen et al., proposes the application of FL in low Earth orbit (LEO)-based satellite communication networks  ... 
doi:10.1109/mwc.2022.9749174 fatcat:nefme6j3vje4rg7u4coulmq7ji

Guest Editorial Special Issue on Graph-Powered Machine Learning for Internet of Things

Zhipeng Cai, Suparna De, Michal Kedziora, Chaokun Wang
2022 IEEE Internet of Things Journal  
Guest Editorial Special Issue on Graph-Powered Machine Learning for Internet of Things I NTERNET of Things (IoT) refers to an ecosystem where applications and services are driven by data collected from  ...  The diverse, dynamic, and large-scale graph IoT data require different sophisticated graph-powered learning methods, data mining techniques, advanced machine learning algorithms, etc., to be involved.  ... 
doi:10.1109/jiot.2022.3164812 fatcat:h2i7xh4xvveg7hlsmccvwemtve

Guest Editorial Special Issue on Communications and Data Analytics in Smart Grid

Ying-Jun Angela Zhang, Hans-Peter Schwefel, Hamed Mohsenian-Rad, Christian Wietfeld, Chen Chen, Hamid Gharavi
2020 IEEE Journal on Selected Areas in Communications  
CYBER SECURITY AND RESILIENCE FOR THE SMART GRIDS The paper "Fault location in power distribution systems via deep graph convolutional networks" develops a new graph convolutional network (GCN) framework  ...  The paper introduces an approach to assess the joint impact of such attacks on stability and safety (here in the meaning of bounded system state) utilizing a Machine Learning model trained by offline simulations  ... 
doi:10.1109/jsac.2019.2952769 fatcat:hjsyk4ttyzf5dfyaoakuvgrbbu

Guest Editorial: Special Issue on Communications and Data Analytics in the Smart Grid

Ying-Jun Angela Zhang, Hans-Peter Schwefel, Hamed Mohsenian-Rad, Christian Wietfeld, Chen Chen, Hamid Gharavi
2020 IEEE Journal on Selected Areas in Communications  
and deployed in modern power systems.  ...  components, including generation, transmission, distribution and consumers.  ...  disciplinary research efforts in machine learning, deep learning, statistics, and optimization are needed.  ... 
pmid:33029039 pmcid:PMC7537467 fatcat:vgblruonejb65ewidldzjracnq

Guest Editorial: Cyber Physical Power Systems: Advanced Intelligent Technologies and Applications

2018 IET Cyber-Physical Systems  
His research interest in artificial intelligence spans across memetic computing, optimisation intelligence, and machine learning. Dr.  ...  Current research activity addresses adaptation and learning in non-stationary environments, graphs learning and Intelligence for embedded and cyber-physical systems.  ... 
doi:10.1049/iet-cps.2018.5071 fatcat:rmgum6j6fzg23oapqnz7ttutxq
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