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A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

Raouf Boutaba, Mohammad A. Salahuddin, Noura Limam, Sara Ayoubi, Nashid Shahriar, Felipe Estrada-Solano, Oscar M. Caicedo
2018 Journal of Internet Services and Applications  
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

Michael Sony
2021 Zenodo  
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

Philip Jansen, Philip Brey, Alice Fox, Jonne Maas, Bradley Hillas, Nils Wagner, Patrick Smith, Isaac Oluoch, Laura Lamers, Hero Van Gein, Anaïs Resseguier, Rowena Rodrigues (+2 others)
2020 Zenodo  
(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

Rositsa T. Ilieva, Timon McPhearson
2018 Nature Sustainability  
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

Christiane Wagner
2022 Zenodo  
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]

Theo Ungerer, Paul Carpenter
2018 arXiv   pre-print
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

Dr. P S Aithal, Shreepathy R Bhat
2019 Zenodo  
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

Gokula Manikandan Senthil Kumar, Sunliang Cao
2021 Energies  
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)

Ruedi Aebersold, Oliver Kohlbacher, Olga, Matt Duckham, Stefan Dulman, Jörg-Rüdiger Sack, Monika, Sumit Gulwani, Emanuel Kitzelmann, Ute Schmid, Glenn Geers, Monika Sester (+2 others)
2013 unpublished
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]

Su Yin Chee, John Barry Gallagher, Jean Chai Yee, Danielle Carey, Yusri Yusup
2019 biorxiv/medrxiv   pre-print
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]

Augustus William Ellerm, University Of Canterbury
2021
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

Tobechukwu ONYEKWENA, Chukwuemeka Ozioma Stanislaus ONWUKWE
2021 Zenodo  
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
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

Megan M Nyre-Yu
2019
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
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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