Application of Biologically Inspired Methods to Improve Adaptive Ensemble Learning

Advances in Intelligent Systems and Computing - Advances in Nature and Biologically Inspired Computing ◽

10.1007/978-3-319-27400-3_21 ◽

2015 ◽

pp. 235-246 ◽

Cited By ~ 2

Author(s):

Gabriela Grmanová ◽

Viera Rozinajová ◽

Anna Bou Ezzedine ◽

Mária Lucká ◽

Peter Lacko ◽

...

Keyword(s):

Ensemble Learning ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Biologically inspired methods applied to circuit design

Irish Signals and Systems Conference 2004 ◽

10.1049/cp:20040565 ◽

2004 ◽

Cited By ~ 1

Author(s):

J. Maher

Keyword(s):

Circuit Design ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Deterministic methods versus biologically inspired methods: optimal sizing of a PV-WT-BESS system for street lighting

International Journal of Renewable Energy Technology ◽

10.1504/ijret.2021.10039057 ◽

2021 ◽

Vol 12 (3) ◽

pp. 201

Author(s):

Mohamed Hascuri ◽

Mustapha Ait Rami ◽

Mostafa Derrhi

Keyword(s):

Biologically Inspired ◽

Street Lighting ◽

Optimal Sizing ◽

Deterministic Methods ◽

Biologically Inspired Methods

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A Review of Routing Protocols in Wireless Sensor Networks Using Biologically Inspired Methods

2013 6th International Conference on Emerging Trends in Engineering and Technology ◽

10.1109/icetet.2013.28 ◽

2013 ◽

Author(s):

A.N. Thakare ◽

Latesh G. Malik

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Routing Protocols ◽

Wireless Sensor ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Parameter estimation using biologically inspired methods

2007 IEEE International Conference on Robotics and Biomimetics (ROBIO) ◽

10.1109/robio.2007.4522358 ◽

2007 ◽

Author(s):

Weixing Lin ◽

Rong Liu ◽

Peter X. Liu ◽

Max. Q.-H. Meng

Keyword(s):

Parameter Estimation ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Biologically-inspired Methods and Game Theory in Multi-criterion Decision Processes

Intelligent Decision Systems in Large-Scale Distributed Environments - Studies in Computational Intelligence ◽

10.1007/978-3-642-21271-0_5 ◽

2011 ◽

pp. 101-124 ◽

Cited By ~ 1

Author(s):

Paweł Jarosz ◽

Tadeusz Burczyński

Keyword(s):

Game Theory ◽

Decision Processes ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Deterministic methods versus biologically inspired methods: optimal sizing of a PV-WT-BESS system for street lighting

International Journal of Renewable Energy Technology ◽

10.1504/ijret.2021.116601 ◽

2021 ◽

Vol 12 (3) ◽

pp. 201

Author(s):

Mohamed Hascuri ◽

Mustapha Ait Rami ◽

Mostafa Derrhi

Keyword(s):

Biologically Inspired ◽

Street Lighting ◽

Optimal Sizing ◽

Deterministic Methods ◽

Biologically Inspired Methods

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Biologically Inspired Methods in Data Mining

Advances in Soft Computing - Soft Computing as Transdisciplinary Science and Technology ◽

10.1007/3-540-32391-0_9 ◽

2007 ◽

pp. 18-18

Author(s):

Krzysztof Cio

Keyword(s):

Data Mining ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Design Approach of Self-Organized Routing Protocol in Wireless Sensor Networks Using Biologically Inspired Methods

Lecture Notes in Electrical Engineering - Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks ◽

10.1007/978-81-322-1823-4_19 ◽

2014 ◽

pp. 203-220

Author(s):

A. N. Thakare ◽

L. G. Malik

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Routing Protocol ◽

Design Approach ◽

Wireless Sensor ◽

Biologically Inspired ◽

Self Organized ◽

Biologically Inspired Methods

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Safe flyable and energy efficient UAV missions via biologically inspired methods

2020 International Conference on Unmanned Aircraft Systems (ICUAS) ◽

10.1109/icuas48674.2020.9214038 ◽

2020 ◽

Author(s):

Konstantinos S. Platanitis ◽

Georgios P. Kladis ◽

Nikos C. Tsourveloudis

Keyword(s):

Energy Efficient ◽

Biologically Inspired ◽

Biologically Inspired Methods

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Hearing Is Believing: Biologically Inspired Methods for Robust Automatic Speech Recognition

IEEE Signal Processing Magazine ◽

10.1109/msp.2012.2207989 ◽

2012 ◽

Vol 29 (6) ◽

pp. 34-43 ◽

Cited By ~ 26

Author(s):

Richard Stern ◽

Nelson Morgan

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Biologically Inspired ◽

Biologically Inspired Methods

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