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Refinado por: Base de dados/Biblioteca: Springer Nature - Springer Journals All 2022 remover
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Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system
Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system
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Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

Sohani, Ali ; Hoseinzadeh, Siamak ; Samiezadeh, Saman ; Verhaert, Ivan

Journal of thermal analysis and calorimetry, 2022-03, Vol.147 (5), p.3919-3930 [Periódico revisado por pares]

Cham: Springer International Publishing

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Comparison of two deep learning methods for ship target recognition with optical remotely sensed data
Comparison of two deep learning methods for ship target recognition with optical remotely sensed data
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Comparison of two deep learning methods for ship target recognition with optical remotely sensed data

Zhang, Dianjun ; Zhan, Jie ; Tan, Lifeng ; Gao, Yuhang ; Župan, Robert

Neural computing & applications, 2021-05, Vol.33 (10), p.4639-4649 [Periódico revisado por pares]

London: Springer London

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3
Short-term wind speed forecasting using artificial neural networks for Tehran, Iran
Short-term wind speed forecasting using artificial neural networks for Tehran, Iran
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Short-term wind speed forecasting using artificial neural networks for Tehran, Iran

Fazelpour, Farivar ; Tarashkar, Negar ; Rosen, Marc A.

International journal of energy and environmental engineering, 2016-12, Vol.7 (4), p.377-390 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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4
Independent parallel pyrolysis kinetics of model components in sewage sludge analyzed by BPM neural network
Independent parallel pyrolysis kinetics of model components in sewage sludge analyzed by BPM neural network
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Independent parallel pyrolysis kinetics of model components in sewage sludge analyzed by BPM neural network

Liu, Yanting ; Liu, Yanjun ; Wang, Sheng ; Chen, Tan ; Gao, Bingli ; Gao, Hang ; Wang, Hongtao

Environmental science and pollution research international, 2023-09, Vol.30 (43), p.97486-97497 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems
Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems
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Decoding movement intent patterns based on spatiotemporal and adaptive filtering method towards active motor training in stroke rehabilitation systems

Samuel, Oluwarotimi Williams ; Asogbon, Mojisola Grace ; Geng, Yanjuan ; Jiang, Naifu ; Mzurikwao, Deogratias ; Zheng, Yue ; Wong, Kelvin K. L. ; Vollero, Luca ; Li, Guanglin

Neural computing & applications, 2021-05, Vol.33 (10), p.4793-4806 [Periódico revisado por pares]

London: Springer London

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6
Application of Artificial Neural Network Model for Optimized Control of Condenser Water Temperature Set-Point in a Chilled Water System
Application of Artificial Neural Network Model for Optimized Control of Condenser Water Temperature Set-Point in a Chilled Water System
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Application of Artificial Neural Network Model for Optimized Control of Condenser Water Temperature Set-Point in a Chilled Water System

Kim, Tae Young ; Lee, Jong Man ; Yoon, Yeobeom ; Lee, Kwang Ho

International journal of thermophysics, 2021-12, Vol.42 (12), Article 172 [Periódico revisado por pares]

New York: Springer US

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7
Overview of Visualization Methods for Artificial Neural Networks
Overview of Visualization Methods for Artificial Neural Networks
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Overview of Visualization Methods for Artificial Neural Networks

Matveev, S. A. ; Oseledets, I. V. ; Ponomarev, E. S. ; Chertkov, A. V.

Computational mathematics and mathematical physics, 2021-05, Vol.61 (5), p.887-899 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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8
An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden
An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden
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An Optimized Artificial Neural Network Structure to Predict Clay Sensitivity in a High Landslide Prone Area Using Piezocone Penetration Test (CPTu) Data: A Case Study in Southwest of Sweden

Abbaszadeh Shahri, Abbas

Geotechnical and geological engineering, 2016-04, Vol.34 (2), p.745-758 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics
Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics
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Estimation of maintainability parameters for object-oriented software using hybrid neural network and class level metrics

Kumar, Lov ; Lal, Sangeeta ; Murthy, Lalita Bhanu

International journal of system assurance engineering and management, 2019-10, Vol.10 (5), p.1234-1264 [Periódico revisado por pares]

New Delhi: Springer India

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10
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

Sarker, Iqbal H.

SN computer science, 2021, Vol.2 (6), p.420-420, Article 420 [Periódico revisado por pares]

Singapore: Springer Singapore

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