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Refinado por: Base de dados/Biblioteca: IngentaConnect Journals remover Nome da Publicação: Journal Of Experimental & Theoretical Artificial Intelligence remover
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1
The risks associated with Artificial General Intelligence: A systematic review
The risks associated with Artificial General Intelligence: A systematic review
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The risks associated with Artificial General Intelligence: A systematic review

McLean, Scott ; Read, Gemma J. M. ; Thompson, Jason ; Baber, Chris ; Stanton, Neville A. ; Salmon, Paul M.

Journal of experimental & theoretical artificial intelligence, 2023-07, Vol.35 (5), p.649-663 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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2
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
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A new bio-inspired optimisation algorithm: Bird Swarm Algorithm

Meng, Xian-Bing ; Gao, X.Z. ; Lu, Lihua ; Liu, Yu ; Zhang, Hengzhen

Journal of experimental & theoretical artificial intelligence, 2016-07, Vol.28 (4), p.673-687 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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3
Modelling and experimental performance analysis of solar-assisted ground source heat pump system
Modelling and experimental performance analysis of solar-assisted ground source heat pump system
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Modelling and experimental performance analysis of solar-assisted ground source heat pump system

Esen, Hikmet ; Esen, Mehmet ; Ozsolak, Onur

Journal of experimental & theoretical artificial intelligence, 2017-01, Vol.29 (1), p.1-17 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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4
Artificial intelligence: reflecting on the past and looking towards the next paradigm shift
Artificial intelligence: reflecting on the past and looking towards the next paradigm shift
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Artificial intelligence: reflecting on the past and looking towards the next paradigm shift

Radanliev, Petar

Journal of experimental & theoretical artificial intelligence, 2024-03, p.1-18 [Periódico revisado por pares]

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5
Parameter selection in particle swarm optimisation: a survey
Parameter selection in particle swarm optimisation: a survey
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Parameter selection in particle swarm optimisation: a survey

Rezaee Jordehi, A. ; Jasni, J.

Journal of experimental & theoretical artificial intelligence, 2013-12, Vol.25 (4), p.527-542 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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6
Artificial intelligence methods to support the research of destination image in tourism. A systematic review
Artificial intelligence methods to support the research of destination image in tourism. A systematic review
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Artificial intelligence methods to support the research of destination image in tourism. A systematic review

Diaz-Pacheco, Angel ; Álvarez-Carmona, Miguel Á. ; Guerrero-Rodríguez, Rafael ; Chávez, Luz Angélica Ceballos ; Rodríguez-González, Ansel Y. ; Ramírez-Silva, Juan Pablo ; Aranda, Ramón

Journal of experimental & theoretical artificial intelligence, 2022-12, Vol.ahead-of-print (ahead-of-print), p.1-31 [Periódico revisado por pares]

Taylor & Francis

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7
Metaheuristics: review and application
Metaheuristics: review and application
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Metaheuristics: review and application

Gogna, Anupriya ; Tayal, Akash

Journal of experimental & theoretical artificial intelligence, 2013-12, Vol.25 (4), p.503-526 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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8
Intelligent system for solid waste classification using combination of image processing and machine learning models
Intelligent system for solid waste classification using combination of image processing and machine learning models
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Intelligent system for solid waste classification using combination of image processing and machine learning models

Abu-Qdais, Hani ; Shatnawi, Nawras ; AL-Alamie, Esra’a

Journal of experimental & theoretical artificial intelligence, 2024-03, p.1-12 [Periódico revisado por pares]

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9
Limitations and risks of machine ethics
Limitations and risks of machine ethics
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Limitations and risks of machine ethics

Brundage, Miles

Journal of experimental & theoretical artificial intelligence, 2014-07, Vol.26 (3), p.355-372 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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10
Cognitive framework and learning paradigms of plant leaf classification using artificial neural network and support vector machine
Cognitive framework and learning paradigms of plant leaf classification using artificial neural network and support vector machine
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Cognitive framework and learning paradigms of plant leaf classification using artificial neural network and support vector machine

Sharma, Gajanand ; Kumar, Ashutosh ; Gour, Nidhi ; Saini, Ashok Kumar ; Upadhyay, Aditya ; Kumar, Ankit

Journal of experimental & theoretical artificial intelligence, 2024-05, Vol.36 (4), p.585-610 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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