Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jer Hayes"'
Publikováno v:
Multimodal AI in Healthcare ISBN: 9783031147708
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32c379701a9c637c39786bfc454fd83e
https://doi.org/10.1007/978-3-031-14771-5_27
https://doi.org/10.1007/978-3-031-14771-5_27
Publikováno v:
Applied Soft Computing. 60:508-519
Mining large amounts of unstructured data for extracting meaningful, accurate, and actionable information, is at the core of a variety of research disciplines including computer science, mathematical and statistical modelling, as well as knowledge en
Publikováno v:
CHI Extended Abstracts
If chocolate and broccoli sound a strange pairing, can you imagine a broccoli chocolate bar that combines them? As a matter of fact, the two ingredients share the highest number of flavour molecules, so their combination might not be as weird as it s
Autor:
Eugene Eichelberger, Gemma Gallagher, Peter McCanney, Sara van de Moosdijk, Christophe Guéret, Freddy Lecue, Jer Hayes, Jiewen Wu
Publikováno v:
International Semantic Web Conference
International Semantic Web Conference, Oct 2017, Vienna, Austria
Lecture Notes in Computer Science ISBN: 9783319682037
ISWC (2)
International Semantic Web Conference, Oct 2017, Vienna, Austria
Lecture Notes in Computer Science ISBN: 9783319682037
ISWC (2)
International audience; The process of managing risks of client contracts is manual and resource-consuming, particularly so for Fortune 500 companies. As an example, Accenture assesses the risk of eighty thousand contracts every year. For each contra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::596ca748b7a784f8215c4e38198d839c
https://inria.hal.science/hal-01934897/file/Lecue-al-ISWC2017.pdf
https://inria.hal.science/hal-01934897/file/Lecue-al-ISWC2017.pdf
Publikováno v:
Conference Papers
Data centres account for approx. 1.3% of the world's electricity consumption, of which up to 50% of that power is dedicated to keeping the actual equipment cool. This represents a huge opportunity to reduce data centre energy consumption by tackling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb0a9d979baac83525b722b8068dbb17
https://arrow.tudublin.ie/context/dubencon2/article/1082/viewcontent/datacentre.pdf
https://arrow.tudublin.ie/context/dubencon2/article/1082/viewcontent/datacentre.pdf
Publikováno v:
Procedia Engineering. 89:1120-1127
The iWIDGET project has a special focus on the role of smart water meters for understating consumption and improving system operations. To support the project and future commercial developments, a distributed platform supported by a web based applica
Publikováno v:
Chemical Reviews. 108:652-679
3.4.5. Example 5: Volcanic Activity 658 3.4.6. Example 6: Soil Moisture 659 3.5. Discussion and Conclusions 659 4. Body Sensor Networks 661 4.1. Wearable Sensors 661 4.2. Functionalized Fabrics 662 4.2.1. Metal Fibers 662 4.2.2. Conductive Inks 662 4
Autor:
Jer Hayes
Publikováno v:
Big-Data Analytics and Cloud Computing ISBN: 9783319253114
Big-Data Analytics and Cloud Computing
Big-Data Analytics and Cloud Computing
This chapter surveys recent developments in the area of multimedia big data, the biggest big data. One core problem is how to best process this multimedia big data in an efficient and scalable way. We outline examples of the use of the MapReduce fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d6e7958649b6297f8d3387cff57333
https://doi.org/10.1007/978-3-319-25313-8_3
https://doi.org/10.1007/978-3-319-25313-8_3
Publikováno v:
Computer Speech & Language. 19:513-523
Compound terms play a surprisingly key role in the organization of lexical ontologies. However, their inclusion forces one to address the issues of completeness and consistency that naturally arise from this organizational role. In this paper, we sho
Autor:
Pierpaolo Tommasi, Jer Hayes, Freddy Lecue, Robert Tucker, Veli Bicer, Simone Tallevi-Diotallevi, Marco Luca Sbodio
Publikováno v:
IUI
This paper presents STAR-CITY, a system supporting semantic traffic analytics and reasoning for city. STAR-CITY, which integrates (human and machine-based) sensor data using variety of formats, velocities and volumes, has been designed to provide ins