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Digital Twin Conceptual Model within the Context of Internet of Things

A. R. Al-Ali, Ragini Gupta, Tasneem Zaman Batool, Taha Landolsi, Fadi Aloul, Ahmad Al Nabulsi
2020 Future Internet  
While an object is on the move, its operational and surrounding environmental parameters are collected by an edge computing device for local decision.  ...  A virtual replica of such object (digital twin) is based in the cloud computing platform and hosts the real-time physical object data, 2D and 3D models, historical data, and bill of materials (BOM) for  ...  Supervised Machine Learning Using Classification and Regression Techniques on Sensor Data Supervised machine learning is largely used in industrial automation since it has a prior knowledge of input data  ... 
doi:10.3390/fi12100163 fatcat:nnamk2axcfcgleqe6wpq7ysqrm

AutonoML: Towards an Integrated Framework for Autonomous Machine Learning [article]

David Jacob Kedziora and Katarzyna Musial and Bogdan Gabrys
2022 arXiv   pre-print
Over the last decade, the long-running endeavour to automate high-level processes in machine learning (ML) has risen to mainstream prominence, stimulated by advances in optimisation techniques and their  ...  In doing so, we survey developments in the following research areas: hyperparameter optimisation, multi-component models, neural architecture search, automated feature engineering, meta-learning, multi-level  ...  on Machine Learning (ICML) workshop.  ... 
arXiv:2012.12600v2 fatcat:6rj4ubhcjncvddztjs7tql3itq

EAGER: The FAIR Island Project for Place-based Open Science [article]

Maria Praetzellis, John Chodacki, Neil Davies, Erin Robinson, Matthew Buys, Catherine Nancarrow
2021 Zenodo  
This exploratory project will test FAIR (Findable, Accessible, Interoperable, and Reusable) data principles for Open Science purposes in a comprehensive manner for field station data gathering on the Pacific  ...  This integration or networking will allow for automated monitoring and reporting of data-related activities associated with individual grants.  ...  These data feed models and algorithms, including applications of Machine Learning and Artificial Intelligence, that impact decision-making in a range of contexts and at nested scales of governance from  ... 
doi:10.5281/zenodo.5117891 fatcat:mdfuj3qm3rddnn2zqfbpgj247u

Encoding Liveness: Performance and Real-Time Rendering in Machinima [chapter]

David Cameron, John Carroll
2011 The Machinima Reader  
Machinima is the appropriation of software-generated 3D virtual environments, typically video games, for filmmaking and dramatic productions.  ...  within the community of practice associated with process drama -a strongly framed environment defined by a 'digital pre-text' -the common digital environment that provides the agreed fictional context for  ...  If machine generated 'bot' characters appear on the screen or physical features of the rendered environment change during the performance, then the performers may have no choice but to respond dramatically  ... 
doi:10.7551/mitpress/9780262015332.003.0009 fatcat:cxrx6ogkurb6lpiyyxxboti5lm

Societal and ethical issues of digitization

Lambèr Royakkers, Jelte Timmer, Linda Kool, Rinie van Est
2018 Ethics and Information Technology  
For other ethical issues concerning digitization such as discrimination, autonomy, human dignity and unequal balance of power, the supervision is not as well organized.  ...  So, for example, successfully hacking a coffee machine can give you access to a car or open the front door.  ...  The data forms coaching files for self-learning software: the more data the software gets, the smarter it becomes.  ... 
doi:10.1007/s10676-018-9452-x fatcat:rhf4ekq5qnb67artzvvcv4lipi

Preliminary Investigation: A background to an ethnographic investigation of Body Worn Cameras (BWCs)

Alexander Hayes
This full and unabridged background chapter was originally titled 'Chapter 4.0 - Background' chapter, designed for inclusion following the main '2.0 Literature Review' chapter, '3.0 Research Design' chapter  ...  burgeoning scale of the thesis in late 2019, after much angst, in consultation with Supervisor, Professor Katina Michael this intensive write-up was removed to bring the thesis into the acceptable word count for  ...  Artificial Intelligence the Machine Learning Lab, CS Department and Centre for Cognitive Science, at Darmstadt University of Technology, Machine Learning (ML) primarily focussed on how to 'construct  ... 
doi:10.6084/m9.figshare.12033408.v1 fatcat:xjkedko7mzhjrfdlruiy4zjona

Money and Trust in Metaverses, Bitcoin and Stablecoins in global social XR [article]

John Joseph O'Hare, Allen Fairchild, Umran Ali
2022 arXiv   pre-print
A cloud deployable virtual machine based technology stack deployment guide with a focus on cybersecurity best practice can be downloaded from GitHub to experiment with the technologies.  ...  This deployable lab is designed to inform development of secure value transaction, for small and medium sized companies.  ...  It might be that natural language processing and machine learning can help with this, but it's a tough problem.  ... 
arXiv:2207.09460v1 fatcat:ssy7jc7kffeetn2pl5kuwr2qva

TempMunger : ein Visual Analytics Ansatz zur Transformation Zeitorientierter Daten

Robert Thurnher, Silvia Miksch, Theresia Gschwandtner
Unser Ansatz ist ein interdisziplinärer, der zeitgemäße Konzepte und Ideen aus diversen Gebieten kombiniert: Mensch-Computer-Interaktion und Usability-Engineering mit Information-Retrieval, Data-Mining, Machine-Learning  ...  learning, plus information visualization.  ...  Data wrangling a.k.a. munging 2. Statistics & Machine Learning (ML) 3.  ... 
doi:10.34726/hss.2017.22718 fatcat:w7e7rcqkiraydfhvedn55lxs5e

The Future of Meetings: Outcomes and Recommendations

Vanessa A. Moss, Aidan W. Hotan, Rika Kobayashi, Glen A. Rees, Coralie Siegel, Chenoa D. Tremblay, Claire E. Trenham, Ulrich Engelke, Amanda Gray, Natasha Hurley-Walker, Goedele Roos
2020 Zenodo  
Our goal is to share the many lessons we learned in putting TFOM together, as well as our recommendations for best practice for interactions (especially of a virtual kind) going forward.  ...  We hope this document is useful for those considering future ways of optimising virtual/digital interactions.  ...  We would also like to thank CASS and IM&T for their support in the early stages of proposing this symposium.  ... 
doi:10.5281/zenodo.4345561 fatcat:rv2l7pzqlvfiroaxhkpsuyzanu

Deep Learning for Computer Vision (Dagstuhl Seminar 17391) Body-Centric Computing (Dagstuhl Seminar 17392)

Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Thorsten Strufe, Adnan Darwiche, Pierre Marquis, Dan Suciu, Stefan, Ute Schmid, Stephen Muggleton, Rishabh Singh, Daniel Cremers (+7 others)
The organizers would like to thank the Schloss Dagstuhl for the professional, productive, and enjoyable atmosphere it provides and for their invaluable support.  ...  Finally, we are grateful to and Seda Guerses for taking notes during two of the working groups and to Savvas Zannettou for coordinating the writing of this report and taking notes throughout the seminar  ...  IP for Data Wrangling IP systems can help automate this process by learning data transformations from examples.  ... 

Interactive Tools for Reproducible Science – Understanding, Supporting, and Motivating Reproducible Science Practices [article]

Sebastian Stefan Feger
2020 arXiv   pre-print
This thesis paves new ways for interaction with RDM tools that support and motivate reproducible science.  ...  On the one hand, this transition towards computational and data-intensive science poses new challenges for research reproducibility and reuse.  ...  Related work presented similar notions of automated features [142, 181] and perfect records [107] .  ... 
arXiv:2012.02570v1 fatcat:ejqwev3kybajtnwozt6zfewway

Dagstuhl Reports, Volume 6, Issue 10, September 2016, Complete Issue [article]

For very unexpected reasons, she could unfortunately not participate in the seminar. Participants  ...  in the union of n arbitrary theories (including for instance propositional logic), as long as each of them comes with an MCSat-friendly inference system.  ...  for machine learning.  ... 
doi:10.4230/dagrep.6.10 fatcat:wq33g6exi5bzll67no5ztodtoy

Learning Analytics for Student Modelling in Virtual Reality Training Systems: Lineworkers case

G Santamaría-Bonfil, María Blanca Ibáñez, M Pérez-Ramírez, G Arroyo-Figueroa, Francisco Martínez-Álvarez
2020 unpublished
There is a number of situations where VR learning environments have 76 proved to be useful for skill acquisition.  ...  However, their effectiveness relies mainly on having meaningful activities for supporting learning and on their ability to detect untrained students.  ...  interactions with the VRTS can be 27 treated with statistical, and Machine Learning (ML) techniques.  ... 
doi:10.13140/rg.2.2.16452.78724 fatcat:5fjkp6pzpzh67cudm3rscjsco4

Transactions of the Digital Games Research Association -- Vol. 3, No. 3

Paolo Ruffino, Esther MacCallum-Stewart, Garry Crawford
ACKNOWLEDGEMENTS I am grateful to Markus Rautzenberg for pointing me towards the concept of interpassivity, which helped me form the analytical core for reading idle games.  ...  Last but not least, I am thanking Anne Dippel for her endless support and invaluable criticism.  ...  Idling points towards the phenomenon of automation, originally denoting a machine with a self-contained principle of motion (Truitt 2015, 2) .  ... 
doi:10.1184/r1/6687005.v2 fatcat:u5a2dbkszvh7pgfv2iko6i32li


Varisht Raheja
Whether you are part of the film/TV or gaming industry, a terrain, is a highly nuanced feature that is usually present.  ...  Regardless of walking on a desert like terrain in the film, Blade Runner 2049 or fighting on different planets like in Avatar, 3D terrains is a major part of any digital media.  ...  This algorithm is extremely popular in unsupervised machine learning techniques and is what is used to define the clusters, control on the number of clusters is also given.  ... 
doi:10.25394/pgs.12245771.v1 fatcat:bfz7xspwyfhghlkn3i7alrx6ea
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