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A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
2018
Journal of Internet Services and Applications
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Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve problems and enable automation in diverse domains. ...
Therefore, this is a timely contribution of the implications of ML for networking, that is pushing the barriers of autonomic network operation and management. ...
Acknowledgments We thank the anonymous reviewers for their insightful comments and suggestions that helped us improve the quality of the paper. ...
doi:10.1186/s13174-018-0087-2
fatcat:jvwpewceevev3n4keoswqlcacu
DESIGN OF READINESS MODEL FOR INDUSTRY 4.0 IMPLEMENTATION IN INDIAN ENGINEERING INDUSTRIES
2021
Zenodo
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DESIGN OF READINESS MODEL FOR INDUSTRY 4.0 IMPLEMENTATION IN INDIAN ENGINEERING INDUSTRIES: DSc Thesis ...
Acknowledgments We thank the reviewers for the constructive suggestion which improved the quality of the paper. The author also thanks Dr. Subhash Naik for his valuable insights on this paper. ...
Acknowledgement We thank the reviewers for the constructive comments which has improved the quality of the paper. ...
doi:10.5281/zenodo.5148191
fatcat:tjqyh7rodzcdbljxr7xbve4ybu
SIENNA D4.4: Ethical Analysis of AI and Robotics Technologies
2020
Zenodo
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(2) their physical technological products and procedures that are designed for practical applications; and (3) the particular uses and applications of these products and procedures. ...
Its primary aims have been to comprehensively identify and analyse the present and potential future ethical issues in relation to: (1) the AI and robotics subfields, techniques, approaches and methods; ...
We can identify at least the following "traditional" approaches: Robot learning. Robot learning is a subfield that combines machine learning and robotics. ...
doi:10.5281/zenodo.4068082
fatcat:xiucqv6opng6rbit25lyfemzm4
Social-media data for urban sustainability
2018
Nature Sustainability
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Here, we discuss key opportunities and challenges for the use of SMD by sustainability scholars in the natural and social sciences as well as by practitioners making daily decisions about urban systems ...
Yet the value of social-media data (SMD) for urban-sustainability research is still poorly understood. ...
data indexing for large-scale spatial queries (for example, SpatialHadoop and B-tree), machine learning and visual analytics, offer emerging solutions to some of (spatial) SMD's pervasive computational ...
doi:10.1038/s41893-018-0153-6
fatcat:tulhd3uimjerlixltpwtlqdpqi
Fragments in Connection and Algorithmic Rule: Encoding the Urban Image in Motion
2022
Zenodo
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Finally, an interdisciplinary approach is proposed to explore the possibility that perception remains a hypothesis for the meaning of contemporary visual culture in its values and effects related to the ...
Therefore, media presence is discussed based on the algorithmic rule, which directs society towards a significant paradigm change concerning new spaces and times for concrete experiences. ...
ACKNOWLEDGEMENTS
ACKNOWLEDGEMENTS With kind thanks to Dr Dionisio González and Noémie Goudal for allowing copyright permission to reproduce the images within this paper. ...
doi:10.5281/zenodo.6503017
fatcat:iwebxttjgbcc5joe7bsmcmbcfe
Eurolab-4-HPC Long-Term Vision on High-Performance Computing
[article]
2018
arXiv
pre-print
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The objective of the Eurolab-4-HPC vision is to provide a long-term roadmap from 2023 to 2030 for High-Performance Computing (HPC). ...
Radical changes in computing are foreseen for the next decade. ...
Machine Learning is a very popular approach for Artificial Intelligence that trains systems to learn how to make decisions and predict results on their own. ...
arXiv:1807.04521v1
fatcat:5neetrgubjhnvcajcktpkohrzq
Emerging Trends in Management, IT and Education
2019
Zenodo
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IOT,
2
Education industry
New education architecture, IOT learning systems, Mobile
education using IOT, Smart university using IOT, IoT-based
flipped learning platform for medical education, etc. ...
Recommendation systems use Machine learning. It takes inputs from user and recommends appropriately. ...
to sell its solution among mid-level industries. • Quick turn around and take a more solid approach to developing and releasing fresh features would keep Akamai on an equal footing with its competitors ...
doi:10.5281/zenodo.3492020
fatcat:wytrxibqsjegfi6oouvfjcoiia
State-of-the-Art Review of Positive Energy Building and Community Systems
2021
Energies
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However, an inadequate understanding of the positive energy system is widely noticed in many projects, and a shortage of standard details on the positive energy system still prevails in the research community ...
A positive energy system that produces more renewable energy than its demand while ensuring appropriate comfort levels is an excellent path towards increasing the portion of renewable energy, reducing ...
Sometimes it can operate independently to solve the problem, which was experienced earlier, with machine learning algorithms. ...
doi:10.3390/en14165046
fatcat:gtha75ha7zgidiq7zb2nypen7m
Computational Mass Spectrometry (Dagstuhl Seminar 13491) Approaches and Applications of Inductive Programming (Dagstuhl Seminar 13502)
2013
unpublished
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We extend and apply the system for individual trip planning that incorporates future traffic hazards in routing [3]. ...
In addition, our approach estimates traffic flow in areas with low sensor coverage using a Gaussian Process Regression [4,5]. ...
program sosies
Bayesian Artificial Intelligence for Tackling Uncertainty in Self-Adaptive Systems: The Case of Dynamic Decision Networks
Inferring models for verification
Self-Adaptive Software ...
fatcat:46j5ycf3ivh5jai5vswz4xkxla
Anthropogenic marine debris and its dynamics across peri-urban and urban mangroves on Penang Island, Malaysia
[article]
2019
biorxiv/medrxiv
pre-print
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For Penang Island, the study highlights the areas in need of attention and prioritization, lists the types of debris needing proper management, and will aid in the future monitoring, mitigation and/or ...
a constant wind field and irrespective of neap-spring phases. ...
His current research interests include routing protocols in Internet of Things (IoT) and the Internet of Things (IoTs), Network security and Mobility Management Protocols in addition to Machine Learning ...
doi:10.1101/756106
fatcat:m6oy4besircffmdhmffppw6yra
Utilising the ArchiMate framework to model secure micromobility services : a review of ArchiMate, security modelling and micromobility enterprise
[article]
2021
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EA methodologies enable the governance of large business struc- tures and support the integration processes for IT systems. ...
Micromobility enterprises are a good candidate for EA security modelling as they utilise quickly emerging and evolving technologies. ...
[45] discussed the architecture of distributed systems and how security features are often not self-contained components but written manually into components of which security is a concern. ...
doi:10.26021/11071
fatcat:6yvx7pd5ezemxpyeaw7doluyfi
FIRE PROTECTION AND SAFETY ON BUILDING SITE
2021
Zenodo
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In addition, schedule 5 of Health and Safety at Work etc Act 1974 and the Building Regulations make it mandatory for any contractor or client on a building site to provide first aid boxes, shelter and ...
accommodation for clothing and for taking meals on every site, protective clothing, fencing and provision of security guard etc to ensure ...
With more data, the algorithm improves its predicting power, and the machine language acts as a strong base for self-driving cars, speech recognition, home automation products and much more. ...
doi:10.5281/zenodo.6384380
fatcat:f7edcd535rhkpischquilhadhu
Dagstuhl Reports, Volume 7, Issue 8, August 2017, Complete Issue
[article]
2018
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Acknowledgments Schloss Dagstuhl was the perfect place for hosting a seminar like this. ...
The unique scientific atmosphere and the historic building provided not only all the room we needed for our program and the working groups, but also plenty of opportunities for continued discussions and ...
Sanjit Seshia There are verification approaches for cases where decisions made by a system are based on outputs from a neural network. Some approaches treat this component as a black box. ...
doi:10.4230/dagrep.7.8
fatcat:gksmijgk5ff6reblxsqnt33aze
Determining System Requirements for Human-Machine Integration in Cyber Security Incident Response
2019
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for hybrid systems to advance the current state of security automation were developed through three studies. ...
Computer security incident response is the short-term process of detecting, identifying, mitigating, and resolving a potential security threat to a network. ...
Self-awareness was previously identified during Study 1 as a quality that is needed to learn quickly and remain adaptive in this environment. ...
doi:10.25394/pgs.10014803
fatcat:u26c4ilasne7ffxqwgx6qtpi2e
Dagstuhl Reports, Volume 7, Issue 10, October 2017, Complete Issue
[article]
2018
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We thank Schloss Dagstuhl for hosting us. ...
Automatic machine learning approaches fulfil certain purposes for predicting performance or are used to extrapolate measurements. ...
(e.g. astrophysics and machine learning). ...
doi:10.4230/dagrep.7.10
fatcat:l6tpayrw6veapbnmuxaxcrcxye
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