Multi-dimensional prediction method based on Bi-LSTMC for ship roll
TLDR
In this article, a single input Bi-LSTMC ship roll prediction method is proposed, which takes the advantage of LSTM time series prediction and combines convolution kernel to extract cross time features.About:
This article is published in Ocean Engineering.The article was published on 2021-12-15 and is currently open access. It has received 53 citations till now. The article focuses on the topics: Rudder.read more
Citations
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Pareto multi-objective optimization of tandem cold rolling settings for reductions and inter stand tensions using NSGA-II.
Zoheir Babajamali,Mohamad Khaje Khabaz,Farshid Aghadavoudi,Fatemeh Farhatnia,S. Ali Eftekhari,Davood Toghraie +5 more
TL;DR: In this article , a multi-objective optimization of tandem cold rolling settings for reductions and inter-stand tensions using NSGA-II and Pareto-optimal front is investigated.
Journal ArticleDOI
Estimating the density of deep eutectic solvents applying supervised machine learning techniques
M. Abdollahzadeh,Marzieh Khosravi,Behnam Hajipour Khire Masjidi,Amin Samimi Behbahan,Ali Bagherzadeh,Amir Shahkar,Farzad tat shahdost +6 more
TL;DR: In this article , the LSSVR (least-squares support vector regression) method was used to estimate the density of 149 deep eutectic solvents.
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Nodes clustering and multi-hop routing protocol optimization using hybrid chimp optimization and hunger games search algorithms for sustainable energy efficient underwater wireless sensor networks
TL;DR: In this paper , the authors proposed a novel hybrid CHO and Hunger Games Search (ChOA-HGS) algorithm for clustering and multi-hop routing optimization in UWSNs.
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Efficacy of applying discontinuous boundary condition on the heat transfer and entropy generation through a slip microchannel equipped with nanofluid
Su-Juan Liu,Dariush Bahrami,Rasool Kalbasi,Mehdi Jahangiri,Ye Lu,Xuelan Yang,Shahab S. Band,Kwok Wing Chau,Amirhosein Mosavi +8 more
TL;DR: In this article , the effect of discontinuous-boundary condition on heat transfer and entropy generation was investigated in the micro-channel with a discontinuous boundary condition (DBC).
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Optimization of constraint engineering problems using robust universal learning chimp optimization
TL;DR: The Universal Learning Chimp Optimization Algorithm (ULChOA) as mentioned in this paper is a variation of the chimp optimization algorithm, in which a unique learning method is applied to all previous best knowledge obtained by chimps (candid solutions) to update prey's positions (best solution).
References
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