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Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems
Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems
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Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems

Belagoune, Soufiane ; Bali, Noureddine ; Bakdi, Azzeddine ; Baadji, Bousaadia ; Atif, Karim

Measurement : journal of the International Measurement Confederation, 2021-06, Vol.177, p.109330, Article 109330 [Periódico revisado por pares]

London: Elsevier Ltd

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2
A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things
A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things
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A Survey of 802.15.4 TSCH Schedulers for a Standardized Industrial Internet of Things

Urke, Andreas Ramstad ; Kure, Øivind ; Øvsthus, Knut

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.15 [Periódico revisado por pares]

Switzerland: MDPI AG

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3
A fault‐tolerant routing strategy for k‐ary n‐direct s‐indirect topologies based on intermediate nodes
A fault‐tolerant routing strategy for k‐ary n‐direct s‐indirect topologies based on intermediate nodes
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A fault‐tolerant routing strategy for k‐ary n‐direct s‐indirect topologies based on intermediate nodes

Peñaranda, Roberto ; Gómez, María Engracia ; López, Pedro ; Gunnar Gran, Ernst ; Skeie, Tor

Concurrency and computation, 2017-07, Vol.29 (13), p.n/a [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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