EFDA-JET-CP(13)05/07

2013 11th International Symposium on Fusion Nuclear Technology, Barcelona, Spain, (16th–20th September)

Toroidal Alfven Eigenmode Amplifier Control at JET Using Commercial FPGA and PXI Platform to Study Plasma Instabilities

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EFDA-JET-CP(12)05/15

2012 27th Symposium on Fusion Technology SOFT Liege, Belgium, (24th–28th September)

A New Radiation-Hard Endoscope for Divertor Spectroscopy on JET

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EFDA-JET-CP(12)01/11

2008 17th Topical Conference on High Temperature Plasma Diagnostic (HTPD), Albuquerque, New Mexico (11th–15th May)

Development of a Mirror-Based Endoscope for Divertor Spectroscopy on JET with the New ITER-Like Wall

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EFDA-JET-CP(10)08/17

2010 23rd IAEA Fusion Energy Conference, Daejon, Republic of Korea, (10th–16th October)

Objectives, Physics Requirements and Conceptual Design of an ECRH System for JET

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EFDA-JET-CP(10)07/23

2010 26th Symposium on Fusion Technology SOFT, Porto, Portugal, (27th September–1st October)

An ECRH System for JET: A Feasibility Study

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EFDA-JET-CP(10)01/03

2010 16th Joint Workshop on Electron Cyclotron Emission and Electron Cyclotron Resonance Heating, Sanya, China, (12th–15th April)

Feasibility of an ECRH System for JET: Project Overview

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EFDA-JET-CP(10)01/01

2010 16th Joint Workshop on Electron Cyclotron Emission and Electron Cyclotron Resonance Heating, Sanya, China, (12th–15th April)

Feasibility of an ECRH System for JET: Plant Layout, Auxiliaries and Services

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EFDA-JET-CP(08)04/20

2008 25th Symposium on Fusion Technology SOFT, Rostock, Germany (15th–19th Sept)

Recent Developments in Data Mining and Soft Computing for JET with a View on ITER

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EFDA-JET-CP(07)05/01

2007 5th IEEE International Symposium on Intelligent Signal Processing, Alcala de Henares, Madrid, Spain (3rd–5th October)

New Techniques and Technologies for Information Retrieval and Knowledge Extraction from Nuclear Fusion Massive Databases

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EFDA-JET-CP(07)04/04

2007 International Workshop on Burning Plasma Diagnostics, Villa Monastero, Varenna, Italy (24th–28th September)

How to Extract Information and Knowledge from Fusion Massive Databases

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