H2020 Grant Agreement No 732332H2020 Grant Agreement • May 15th, 2018
Deliverable nature: Report Dissemination level: Public Contractual delivery date: 31st January 2018 Actual delivery date: 16th February 2018 Version: Final Total number of pages: 28 Keywords: Final report, summary, Gaming Horizons, Recommendations
D6.5 AT LEAST TWO EXAMPLE DATASETS OF REPRESENTATIVE MEASUREMENTS OF CHARACTERISTIC SAMPLES TO DEMONSTRATE SMM CAPABILITIES AND CHALLENGESH2020 Grant Agreement • June 4th, 2023
H2020 Grant Agreement No. 857125H2020 Grant Agreement • June 9th, 2020
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 857125.
H2020 Grant Agreement Number 723076 NICT Management Number 18302H2020 Grant Agreement • January 31st, 2018
Edge computing is a new paradigm which can move data processing close to data sources in order to reduce bandwidth consumption and latency. The infrastructure of a smart city is a typical cloud-edge environment with a large number of geo-distributed and heterogeneous edge nodes, which is a perfect environment to apply edge computing. However, to utilize edge computing, smart city service providers are still facing high complexity and low efficiency when developing and managing their IoT services over such a cloud-edge environment.
H2020 Grant agreement no 824410H2020 Grant Agreement • November 13th, 2020
❑ Using battery-to-battery charging system where a stationary onshore secondary storage battery at the two docking stations are charged.
ABSTRACTH2020 Grant Agreement • February 23rd, 2021
The main objective of this deliverable was to provide to the consortium, namely to the operator of the tank, operating insights towards an optimized performance for the tank.
H2020 GRANT AGREEMENT NUMBER: 825171H2020 Grant Agreement • July 17th, 2021
This deliverable is the first report related to the progress of the consortium on Task 4.2 “Social media content and context data collection and analysis” which is the second task of Work Package 4: Technological Tools and Prototypes. More specifically, Task 4.2 is developing machine learning based models and algorithms meant for the processing of posted content in order to extract semantic and sentiment-related knowledge. The goal is to automatically extract language and named entities, subjectivity, sentiment analysis and other content and context aspects that may be useful to a user assessing a post’s information trustworthiness.
D4.1 CALIBRATION SOFTWAREH2020 Grant Agreement • October 30th, 2018
Version V6 Dissemination level Public Editor Malgorzata CELUCH - QWED Other authors Wojciech GWAREK and Andrzej WIECKOWSKI - QWED
ABSTRACTH2020 Grant Agreement • February 24th, 2021
This Deliverable D4.2 titled “Compatibility of metallic materials with PCMs and sensible-heat Ca ternary salts” is framed within the Task 4.2 “Interaction of latent PCMs with metallic components” and Task 4.3 “Interaction of MS with metallic components of CSP plants”, from WP4 “Advanced materials combination and stability”.
H2020 Grant Agreement Nº.: 720985H2020 Grant Agreement • March 4th, 2021
(HTF) and energy storage materials in Solar Tower Plants. Among other HTFs such as synthetic or organic oils they have distinct advantages; they are non-hazardous, low priced, comparably cheap and have a lower environmental impact. Nonetheless, this advantage is flanked with a higher operating temperature range which is limited by the melting point (plus a safety margin) at the lower end and the high temperature stability at the higher end.
H2020 Grant Agreement, Article 29.2 – Open access to scientific publicationsH2020 Grant Agreement • October 15th, 2018
Each beneficiary must ensure open access (free of charge, online access for any user) to all peer-reviewed scientific publications relating to its results.
Call identifier: H2020-ICT-2016 - Grant agreement no: 732907H2020 Grant Agreement • May 3rd, 2018
H2020 Grant Agreement Nº.: 720985H2020 Grant Agreement • July 15th, 2019
The present deliverable D.2.2 is related to the work realised in Task 2.3 of NewSOL project. In this task, suitable indicators together with minimum target values and success criteria have been defined to evaluate the performance of the materials developed in the lab and the performance of the system architectures tested during the demo phase.
H2020 Grant Agreement, Article 29.2 – Open access to scientific publicationsH2020 Grant Agreement • March 15th, 2021
In particular, it must as soon as possible and at the latest on publication, deposit a machine-readable electronic copy of the published version or final peer-reviewed manuscript accepted for publication in a repository for scientific publications.
WP6, T6.1H2020 Grant Agreement • March 29th, 2022
Author(s): Beatriz SANCHEZ (TECNALIA), Patxi HERNANDEZ (TECNALIA), Irantzu URKOLA (TECNALIA), Hugo MADUREIRA (ANESE), Patricia SERRANO (ANESE), Arianna AMATI (RINA-C)
FinanceH2020 Grant Agreement • December 16th, 2015
ABSTRACTH2020 Grant Agreement • February 23rd, 2021
This Deliverable D3.4 is the “Report on new concretes with enhanced thermal resistance” that corresponds to Task 3.1 “High temperature sensible heat storage concrete”, from WP3 “Advanced functional material development & thermal performance”.
H2020 Grant Agreement No. 101004719 (ORP)H2020 Grant Agreement • September 15th, 2021
Call identifier: H2020-ICT-2015 - Grant agreement no: 688865H2020 Grant Agreement • April 21st, 2017
Title 3D Avatar scenes Deliverable 2.5 Reporting Period First Authors MOTEK Work Package 2 Security Public Nature Report Keyword(s) 3D avatar scenes
H2020 GRANT AGREEMENTH2020 Grant Agreement • June 4th, 2020
Each beneficiary must ensure open access (free of charge, online access for any user) to all peer-reviewed scientific publications
Call identifier: H2020-ICT-2015 - Grant agreement no: 688865H2020 Grant Agreement • April 4th, 2016
Title Dissemination and exploitation strategy plan and preliminary materials Deliverable D9.2. Reporting Period Authors Stefano Di Pietro, Mirko De Maldè Work Package WP9 Security Nature Keyword(s)
H2020 GRANT AGREEMENT NUMBER: 887075H2020 Grant Agreement • September 25th, 2020
Project funded by European Union’s Horizon 2020 research and innovation programme (2014-2020) Dissemination Level PU Public PP Restricted to other programme participants (including the Commission Services) RE Restricted to a group specified by the consortium (including the Commission Services) CO Confidential, only for members of the consortium (including the Commission Services) X CON Confidential, only for members of the Consortium
ContractH2020 Grant Agreement • February 13th, 2023
INNOVATION ACTION H2020 GRANT AGREEMENT NUMBER: 825171H2020 Grant Agreement • October 8th, 2021
This project has received funding from the European Union’s H2020 research and innovation programme under the grant agreement No 825171
D7.9 DEMONSTRATION WORKSHOPH2020 Grant Agreement • October 30th, 2020
Version Date Modifications Authors V0 16/10/2020 Creation of the document Brice Cruchon/ Dracula Technologies V1 29/10/2020 Update from all partners PROPRIETARY RIGHTS STATEMENTThis document contains information, which is proprietary to the MMAMA Consortium. Neither this document nor the information contained herein shall be used, duplicated or communicated by any means to any third party, in whole or in parts, except with prior written consent of the MMAMA consortium.
H2020 Grant Agreement No 732332H2020 Grant Agreement • July 31st, 2017
Deliverable nature: Report Dissemination level: Public Contractual delivery date: 31/07/2017 Actual delivery date: 31/07/2017 Version: Final Total number of pages: 13 Keywords: Evaluation, consultation, Advisory Board
FinanceH2020 Grant Agreement • January 4th, 2017
Grant Agreement n° 761036 Dates 1st November 2017 – 31 October 2020H2020 Grant Agreement • February 27th, 2018
Version Date Modifications Authors V1 31/01/2018 Implementation of Newsletter 1 Aurore Niemiec V2 23/02/2018 Corrections Aurore Niemiec VF 26/02/2018 Validation Gilles Dambrine
Xylella fastidiosa subsp. pauca ST53 on susceptible hostsH2020 Grant Agreement • April 22nd, 2019
Beneficiary code Beneficiary P1 CNR, Consiglio Nazionale delle Ricerche, ItalyM. Saponari, G. Altamura, V. Cavalieri, S. Zicca, G. D’Attoma, M. Morelli, D. Tavano, R. Abou Kubaa, P. La Notte, D. Boscia P2 Università degli Studi di Bari and Centro di Ricerca and Sperimentazione in Agricoltura Basile Caramia (linked party)F. Nigro, Ilaria Antelmi, G. Loconsole, C. Dongiovanni, M.R. Silletti,P. Pollastro, D. Lorusso, F. Palmisano
