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1	Material Type: Article	Building machines that learn and think like people The Behavioral and brain sciences, 2017, Vol.40, p.e253-e253, Article e253 [Peer Reviewed Journal] Copyright © Cambridge University Press 2017 ;ISSN: 0140-525X ;EISSN: 1469-1825 ;DOI: 10.1017/S0140525X16001837 ;PMID: 27881212 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Preface Journal of physics. Conference series, 2023-05, Vol.2498 (1), p.011001 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2498/1/011001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Preface Journal of physics. Conference series, 2023-08, Vol.2585 (1), p.011001 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2585/1/011001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Preface Journal of physics. Conference series, 2022-07, Vol.2313 (1), p.011001 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2313/1/011001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	A Data-Driven Predictive Prognostic Model for Lithium-Ion Batteries based on a Deep Learning Algorithm Energies (Basel), 2019-02, Vol.12 (4), p.660 [Peer Reviewed Journal] 2019. 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. ;2019. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en12040660 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Preface Journal of physics. Conference series, 2022-01, Vol.2148 (1), p.011001 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2148/1/011001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	The network of global corporate control PloS one, 2011-10, Vol.6 (10), p.e25995-e25995 [Peer Reviewed Journal] COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;2011 Vitali et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Vitali et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0025995 ;PMID: 22046252 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Dynamics of conflicts in Wikipedia PloS one, 2012-06, Vol.7 (6), p.e38869-e38869 [Peer Reviewed Journal] COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;2012 Yasseri et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Yasseri et al. 2012 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0038869 ;PMID: 22745683 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Preface, Conference Committee Materials science forum, 2017-03, Vol.886 [Peer Reviewed Journal] Copyright Trans Tech Publications Ltd. Mar 2017 ;ISSN: 0255-5476 ;EISSN: 1662-9752 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Deep convolutional models improve predictions of macaque V1 responses to natural images PLoS computational biology, 2019-04, Vol.15 (4), p.e1006897-e1006897 [Peer Reviewed Journal] COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Cadena et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 Cadena et al 2019 Cadena et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1006897 ;PMID: 31013278 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	On natural modes in moonpools and gaps in finite depth Journal of fluid mechanics, 2018-04, Vol.840, p.530-554 [Peer Reviewed Journal] 2018 Cambridge University Press ;ISSN: 0022-1120 ;EISSN: 1469-7645 ;DOI: 10.1017/jfm.2018.69 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Preface Journal of physics. Conference series, 2024-01, Vol.2684 (1), p.011001 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2684/1/011001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Temporal patterns of happiness and information in a global social network: hedonometrics and Twitter PloS one, 2011-12, Vol.6 (12), p.e26752-e26752 [Peer Reviewed Journal] COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;2011 Dodds et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Dodds et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0026752 ;PMID: 22163266 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Modeling users' activity on twitter networks: validation of Dunbar's number PloS one, 2011-08, Vol.6 (8), p.e22656-e22656 [Peer Reviewed Journal] COPYRIGHT 2011 Public Library of Science ;COPYRIGHT 2011 Public Library of Science ;2011 Gonçalves et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Gonçalves et al. 2011 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0022656 ;PMID: 21826200 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Preface Journal of physics. Conference series, 2023-03, Vol.2470 (1), p.011001 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2470/1/011001 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	A Differentiable Physics Engine for Deep Learning in Robotics Frontiers in neurorobotics, 2019-03, Vol.13, p.6-6 [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. ;Copyright © 2019 Degrave, Hermans, Dambre and wyffels. 2019 Degrave, Hermans, Dambre and wyffels ;ISSN: 1662-5218 ;EISSN: 1662-5218 ;DOI: 10.3389/fnbot.2019.00006 ;PMID: 30899218 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research Applied sciences, 2019-05, Vol.9 (9), p.1736 [Peer Reviewed Journal] 2019. 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9091736 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks Applied sciences, 2018-09, Vol.8 (9), p.1575 [Peer Reviewed Journal] 2018. 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app8091575 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Review of Artificial Intelligence Adversarial Attack and Defense Technologies Applied sciences, , Vol.9 (5), p.909 [Peer Reviewed Journal] 2019. 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9050909 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads PloS one, 2017-06, Vol.12 (6), p.e0178751-e0178751 [Peer Reviewed Journal] COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Boža et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Boža et al 2017 Boža et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0178751 ;PMID: 28582401 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 3,027 for All Library Resources

Copyright © Cambridge University Press 2017 ;ISSN: 0140-525X ;EISSN: 1469-1825 ;DOI: 10.1017/S0140525X16001837 ;PMID: 27881212

Copyright Trans Tech Publications Ltd. Mar 2017 ;ISSN: 0255-5476 ;EISSN: 1662-9752

2018 Cambridge University Press ;ISSN: 0022-1120 ;EISSN: 1469-7645 ;DOI: 10.1017/jfm.2018.69

2019. 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9091736

2018. 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app8091575

2019. 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: 2076-3417 ;EISSN: 2076-3417 ;DOI: 10.3390/app9050909

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