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1	Material Type: Article	HG-SMA: hierarchical guided slime mould algorithm for smooth path planning The Artificial intelligence review, 2023-09, Vol.56 (9), p.9267-9327 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-023-10398-3 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
2	Material Type: Article	Improved weighted NND scheme for shock-capturing Journal of physics. Conference series, 2021-02, Vol.1786 (1), p.12043 [Peer Reviewed Journal] 2021. 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: 10.1088/1742-6596/1786/1/012043 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Smoothness-Adaptive Contextual Bandits Operations research, 2022-11, Vol.70 (6), p.3198-3216 [Peer Reviewed Journal] COPYRIGHT 2022 Institute for Operations Research and the Management Sciences ;Copyright Institute for Operations Research and the Management Sciences Nov/Dec 2022 ;ISSN: 0030-364X ;EISSN: 1526-5463 ;DOI: 10.1287/opre.2021.2215 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
4	Material Type: Article	Research on AGV path planning in new energy battery workshop Journal of physics. Conference series, 2024-04, Vol.2741 (1), p.012060 [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: 10.1088/1742-6596/2741/1/012060 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	CT reconstruction algorithm based on truncated TV Journal of physics. Conference series, 2021-05, Vol.1920 (1), p.12036 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2021. 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: 10.1088/1742-6596/1920/1/012036 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Robot path planning based on improved A algorithm Journal of physics. Conference series, 2023-11, Vol.2637 (1), p.12008 [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: 10.1088/1742-6596/2637/1/012008 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Band-stop Smoothing Filter Design IEEE transactions on signal processing, 2021-01, p.1-1 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2021.3060619 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Spectral-Smoothness and Non-Local Self-Similarity Regularized Subspace Low-Rank Learning Method for Hyperspectral Mixed Denoising Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3196 [Peer Reviewed Journal] 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13163196 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	A Feature-Trajectory-Smoothed High-Speed Model for Video Anomaly Detection Sensors (Basel, Switzerland), 2023-02, Vol.23 (3), p.1612 [Peer Reviewed Journal] COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23031612 ;PMID: 36772652 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease IEEE transactions on biomedical engineering, 2017-01, Vol.64 (1), p.238 [Peer Reviewed Journal] EISSN: 1558-2531 ;DOI: 10.1109/TBME.2016.2553663 ;PMID: 27093313 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
11	Material Type: Article	eulerAPE: drawing area-proportional 3-Venn diagrams using ellipses PloS one, 2014-07, Vol.9 (7), p.e101717-e101717 [Peer Reviewed Journal] COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Micallef, Rodgers. 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. ;2014 Micallef, Rodgers 2014 Micallef, Rodgers ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0101717 ;PMID: 25032825 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Smooth PARAFAC Decomposition for Tensor Completion IEEE transactions on signal processing, 2016-10, Vol.64 (20), p.5423-5436 [Peer Reviewed Journal] ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2016.2586759 ;CODEN: ITPRED Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Mobile Robot Path Planning Algorithm Based on Improved A Star Journal of physics. Conference series, 2021-04, Vol.1848 (1), p.12013 [Peer Reviewed Journal] 2021. 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: 10.1088/1742-6596/1848/1/012013 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization Computational optimization and applications, 2024-05, Vol.88 (1), p.71-106 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0926-6003 ;EISSN: 1573-2894 ;DOI: 10.1007/s10589-023-00550-8 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
15	Material Type: Article	Approximation rates for neural networks with encodable weights in smoothness spaces Neural networks, 2021-02, Vol.134, p.107 [Peer Reviewed Journal] Copyright © 2020 Elsevier Ltd. All rights reserved. ;EISSN: 1879-2782 ;DOI: 10.1016/j.neunet.2020.11.010 ;PMID: 33310376 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
16	Material Type: Article	A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis IUCrJ, 2019-01, Vol.6 (Pt 1), p.5-17 COPYRIGHT 2019 International Union of Crystallography ;2019. This article is published under https://creativecommons.org/licenses/by/2.0/uk (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Jasenko Zivanov et al. 2019 2019 ;ISSN: 2052-2525 ;EISSN: 2052-2525 ;DOI: 10.1107/s205225251801463x ;PMID: 30713699 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Fastest rates for stochastic mirror descent methods Computational optimization and applications, 2021-07, Vol.79 (3), p.717-766 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 0926-6003 ;EISSN: 1573-2894 ;DOI: 10.1007/s10589-021-00284-5 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	On the Efficient Computation of Smoothness Indicators for a Class of WENO Reconstructions Journal of scientific computing, 2019-08, Vol.80 (2), p.1240-1263 [Peer Reviewed Journal] Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Springer Science+Business Media, LLC, part of Springer Nature 2019. ;ISSN: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-019-00974-7 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network IEEE transactions on medical imaging, 2017-12, Vol.36 (12), p.2479 EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2753138 ;PMID: 28922116 Digital Resources/Online E-Resources Services Details Recommendations Reviews Times Cited Citations Cited by
20	Material Type: Article	Multidimensional WENO-AO Reconstructions Using a Simplified Smoothness Indicator and Applications to Conservation Laws Journal of scientific computing, 2023-10, Vol.97 (1), p.8, Article 8 [Peer Reviewed Journal] The Author(s) 2023 ;The Author(s) 2023. This work is published 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: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-023-02319-x Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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2021. 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: 10.1088/1742-6596/1786/1/012043

COPYRIGHT 2022 Institute for Operations Research and the Management Sciences ;Copyright Institute for Operations Research and the Management Sciences Nov/Dec 2022 ;ISSN: 0030-364X ;EISSN: 1526-5463 ;DOI: 10.1287/opre.2021.2215

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2021.3060619

EISSN: 1558-2531 ;DOI: 10.1109/TBME.2016.2553663 ;PMID: 27093313

ISSN: 1053-587X ;EISSN: 1941-0476 ;DOI: 10.1109/TSP.2016.2586759 ;CODEN: ITPRED

2021. 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: 10.1088/1742-6596/1848/1/012013

Copyright © 2020 Elsevier Ltd. All rights reserved. ;EISSN: 1879-2782 ;DOI: 10.1016/j.neunet.2020.11.010 ;PMID: 33310376

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. ;ISSN: 0926-6003 ;EISSN: 1573-2894 ;DOI: 10.1007/s10589-021-00284-5

Springer Science+Business Media, LLC, part of Springer Nature 2019 ;Springer Science+Business Media, LLC, part of Springer Nature 2019. ;ISSN: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-019-00974-7

EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2753138 ;PMID: 28922116

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