Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes
The scope of the symposium will be related to key technologies in Japan and Malaysia. The areas of focus will be related to key and future technologies as well as highly demanding manufacturing technologies in the industrial fields of Electrical & electronics, Automotive, Energy and environment,...
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my.utm.137202017-08-03T01:25:37Z http://eprints.utm.my/id/eprint/13720/ Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes Ismail, Ishak Gan, Z. L. TK Electrical engineering. Electronics Nuclear engineering The scope of the symposium will be related to key technologies in Japan and Malaysia. The areas of focus will be related to key and future technologies as well as highly demanding manufacturing technologies in the industrial fields of Electrical & electronics, Automotive, Energy and environment, Innovative IT, Basic metals & Materials, Machinery & equipments, Chemicals, Bio-Technology, Plastics, Oil and petroleum, Life Sciences, Wood, Food, Rubber, Agriculture engineering. 2007 Conference or Workshop Item PeerReviewed Ismail, Ishak and Gan, Z. L. (2007) Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes. In: Malaysia-Japan International Symposium on Advanced Technology 2007 (MJISAT2007), 2007, Kuala Lumpur. |
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TK Electrical engineering. Electronics Nuclear engineering Ismail, Ishak Gan, Z. L. Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
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The scope of the symposium will be related to key technologies in Japan and Malaysia. The areas of focus will be related to key and future technologies as well as highly demanding manufacturing technologies in the industrial fields of Electrical & electronics, Automotive, Energy and environment, Innovative IT, Basic metals & Materials, Machinery & equipments, Chemicals, Bio-Technology, Plastics, Oil and petroleum, Life Sciences, Wood, Food, Rubber, Agriculture engineering. |
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Conference or Workshop Item |
author |
Ismail, Ishak Gan, Z. L. |
author_facet |
Ismail, Ishak Gan, Z. L. |
author_sort |
Ismail, Ishak |
title |
Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
title_short |
Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
title_full |
Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
title_fullStr |
Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
title_full_unstemmed |
Agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
title_sort |
agent based adaptive packet routing in reconfigurable wireless array sensor network, using reinforcement learning for static charges monitoring at petronas petroleum installation to predict lightning strikes |
publishDate |
2007 |
url |
http://eprints.utm.my/id/eprint/13720/ |
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1643646260252508160 |
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13.209306 |