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1
Performance Enhancement Counter with Minimal Clock Period
Material Type:
Conference Proceeding
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Performance Enhancement Counter with Minimal Clock Period

E3S Web of Conferences, 2023, Vol.399, p.1005 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202339901005

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2
Recognition of dominant driving factors behind sap flow of Liquidambar formosana based on back-propagation neural network method
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Article
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Recognition of dominant driving factors behind sap flow of Liquidambar formosana based on back-propagation neural network method

Annals of forest science., 2021-12, Vol.78 (4) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1286-4560 ;EISSN: 1297-966X ;DOI: 10.1007/s13595-021-01091-y

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3
The Performance of Adaptive Approach in Lean and Green Operations
Material Type:
Article
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The Performance of Adaptive Approach in Lean and Green Operations

MATEC Web of Conferences, 2021, Vol.333, p.6006 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/202133306006

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4
Optimization of Neural Network Training for Wine Quality Classification Using Simulated Annealing
Material Type:
Article
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Optimization of Neural Network Training for Wine Quality Classification Using Simulated Annealing

SHS Web of Conferences, 2022, Vol.144, p.3012 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-2424 ;ISSN: 2416-5182 ;EISSN: 2261-2424 ;DOI: 10.1051/shsconf/202214403012

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5
Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle
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Article
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Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle

Genetics selection evolution (Paris), 2015-03, Vol.47 (1), p.22-22, Article 22 [Peer Reviewed Journal]

COPYRIGHT 2015 BioMed Central Ltd. ;2015. This work is licensed under http://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Distributed under a Creative Commons Attribution 4.0 International License ;Ehret et al.; licensee BioMed Central. 2015 ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/s12711-015-0097-5 ;PMID: 25886037

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6
Ensemble learning model on Artificial Neural Network - Backpropagation (ANN-BP) architecture for coal pillar stability classification
Material Type:
Article
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Ensemble learning model on Artificial Neural Network - Backpropagation (ANN-BP) architecture for coal pillar stability classification

ITM Web of Conferences, 2024, Vol.61, p.1008 [Peer Reviewed Journal]

2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2271-2097 ;ISSN: 2431-7578 ;EISSN: 2271-2097 ;DOI: 10.1051/itmconf/20246101008

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7
Energy-efficient retrofitting with incomplete building information: a data-driven approach
Material Type:
Conference Proceeding
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Energy-efficient retrofitting with incomplete building information: a data-driven approach

E3S Web of Conferences, 2022, Vol.356, p.1003 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202235601003

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8
A failure detection method of remote disaster recovery and backup system
Material Type:
Article
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A failure detection method of remote disaster recovery and backup system

ITM Web of Conferences, 2022, Vol.47, p.1002 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2271-2097 ;ISSN: 2431-7578 ;EISSN: 2271-2097 ;DOI: 10.1051/itmconf/20224701002

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9
Hybrid Solar Forecasting Method Based on Empirical Mode Decomposition and Back Propagation Neural Network
Material Type:
Article
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Hybrid Solar Forecasting Method Based on Empirical Mode Decomposition and Back Propagation Neural Network

E3S Web of Conferences, 2021-01, Vol.231, p.2001 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202123102001

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10
Enriched global horizontal irradiance prediction using novel ensemble improved backpropagation neural network
Material Type:
Article
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Enriched global horizontal irradiance prediction using novel ensemble improved backpropagation neural network

ITM Web of Conferences, 2022, Vol.45, p.1060 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2271-2097 ;ISSN: 2431-7578 ;EISSN: 2271-2097 ;DOI: 10.1051/itmconf/20224501060

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11
A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning
Material Type:
Conference Proceeding
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A Smart Energy Management System for Residential Buildings Using IoT and Machine Learning

E3S Web of Conferences, 2023, Vol.387, p.4009 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202338704009

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12
Application of BP Neural Network Model in the Evaluation of Urban Land Intensive Utilization
Material Type:
Article
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Application of BP Neural Network Model in the Evaluation of Urban Land Intensive Utilization

E3S Web of Conferences, 2021-01, Vol.248, p.3076 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202124803076

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13
The Application of RBF Neural Network Optimized by K-means and Genetic-backpropagation in Fault Diagnosis of Power Transformer
Material Type:
Conference Proceeding
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The Application of RBF Neural Network Optimized by K-means and Genetic-backpropagation in Fault Diagnosis of Power Transformer

E3S Web of Conferences, 2021, Vol.242, p.3002 [Peer Reviewed Journal]

2021. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202124203002

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14
Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models
Material Type:
Article
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Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models

Genetics selection evolution (Paris), 2013-09, Vol.45 (1), p.34-34, Article 34 [Peer Reviewed Journal]

COPYRIGHT 2013 BioMed Central Ltd. ;2013 Okut et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ;2013. This work is licensed under http://creativecommons.org/licenses/by/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. ;Copyright © 2013 Okut et al.; licensee BioMed Central Ltd. 2013 Okut et al.; licensee BioMed Central Ltd. ;ISSN: 1297-9686 ;ISSN: 0999-193X ;EISSN: 1297-9686 ;DOI: 10.1186/1297-9686-45-34 ;PMID: 24024641

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15
Analysis of full microwave propagation and backpropagation for a complex asteroid analogue via single-point quasi-monostatic data
Material Type:
Article
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Analysis of full microwave propagation and backpropagation for a complex asteroid analogue via single-point quasi-monostatic data

Astronomy and astrophysics (Berlin), 2021-01, Vol.645 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0004-6361 ;EISSN: 1432-0746 ;DOI: 10.1051/0004-6361/202039380

Digital Resources/Online E-Resources

16
Prediction of time series of overhead lines failure rate with chaotic indicators
Material Type:
Article
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Prediction of time series of overhead lines failure rate with chaotic indicators

E3S Web of Conferences, 2020-01, Vol.216, p.1016 [Peer Reviewed Journal]

2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2267-1242 ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202021601016

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17
Optimizing the distribution of food based on the vogel method
Material Type:
Article
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Optimizing the distribution of food based on the vogel method

MATEC Web of Conferences, 2022, Vol.355, p.2039 [Peer Reviewed Journal]

2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/202235502039

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18
Computer-aided processing of the oculomotor signal
Material Type:
Article
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Computer-aided processing of the oculomotor signal

ITM Web of Conferences, 2018, Vol.21, p.25 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2271-2097 ;ISSN: 2431-7578 ;EISSN: 2271-2097 ;DOI: 10.1051/itmconf/20182100025

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19
Identification Of Number Using Artificial Neural Network Backpropagation
Material Type:
Article
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Identification Of Number Using Artificial Neural Network Backpropagation

MATEC Web of Conferences, 2018-01, Vol.215, p.1011 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/201821501011

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20
Design of Control Law for Ejection Seat under Adverse Attitudes
Material Type:
Article
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Design of Control Law for Ejection Seat under Adverse Attitudes

MATEC Web of Conferences, 2019, Vol.291, p.2005 [Peer Reviewed Journal]

2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2261-236X ;ISSN: 2274-7214 ;EISSN: 2261-236X ;DOI: 10.1051/matecconf/201929102005

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