{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T05:09:36Z","timestamp":1701666576579},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T00:00:00Z","timestamp":1672876800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T00:00:00Z","timestamp":1672876800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s11063-022-11109-9","type":"journal-article","created":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T06:02:45Z","timestamp":1672898565000},"page":"5745-5761","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Neural Based Grey Nonlinear Control for Real-World Example of Mechanical Systems"],"prefix":"10.1007","volume":"55","author":[{"given":"Z. Y.","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Y. H.","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruei-Yuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,1,5]]},"reference":[{"issue":"13","key":"11109_CR1","doi-asserted-by":"publisher","first-page":"2012","DOI":"10.3390\/electronics11132012","volume":"11","author":"Y Ban","year":"2022","unstructured":"Ban Y, Liu M, Wu P, Yang B, Liu S, Yin L et al (2022) Depth estimation method for monocular camera defocus images in microscopic scenes. Electronics (Basel) 11(13):2012. https:\/\/doi.org\/10.3390\/electronics11132012","journal-title":"Electronics (Basel)"},{"key":"11109_CR2","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.eswa.2016.06.032","volume":"62","author":"A Bezuglov","year":"2016","unstructured":"Bezuglov A, Comert G (2016) Short-term freeway traffic parameter prediction: application of grey system theory models. Expert Syst Appl 62:284\u2013292","journal-title":"Expert Syst Appl"},{"key":"11109_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3215787","author":"B Cao","year":"2022","unstructured":"Cao B, Yan Y, Wang, Y, Liu X, Lin JC, Sangaiah AK et al. (2022) A Multiobjective intelligent decision-making method for multistage placement of PMU in power grid enterprises. IEEE Trans Indust Inf. https:\/\/doi.org\/10.1109\/TII.2022.3215787","journal-title":"IEEE Trans Indust Inf"},{"issue":"6","key":"11109_CR4","doi-asserted-by":"publisher","first-page":"797","DOI":"10.12989\/sss.2020.26.6.797","volume":"26","author":"C Chen","year":"2020","unstructured":"Chen C, Kuo D, Hsieh C, Chen T (2020) System simulation and synchronization for optimal evolutionary design of nonlinear controlled systems. Smart Struct Syst 26(6):797\u2013807. https:\/\/doi.org\/10.12989\/sss.2020.26.6.797","journal-title":"Smart Struct Syst"},{"key":"11109_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2014\/242809","volume":"2014","author":"P Chen","year":"2014","unstructured":"Chen P, Yu H (2014) Foundation settlement prediction based on a novel NGM model. Math Prob Eng 2014:1\u20138. https:\/\/doi.org\/10.1155\/2014\/242809","journal-title":"Math Prob Eng"},{"key":"11109_CR6","first-page":"6571","volume":"31","author":"RT Chen","year":"2018","unstructured":"Chen RT, Rubanova Y, Bettencourt J, Duvenaud DK (2018) Neural ordinary differential equations. Adv Neural Inf Process Syst 31:6571\u20136583","journal-title":"Adv Neural Inf Process Syst"},{"key":"11109_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3112699","author":"P Cheng","year":"2022","unstructured":"Cheng P, Wang H, Stojanovic V, He S, Shi K, Luan X, Liu F, Sun C (2022) Asynchronous fault detection observer for 2-D Markov jump systems. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2021.3112699","journal-title":"IEEE Trans Cybern"},{"issue":"18","key":"11109_CR8","doi-asserted-by":"publisher","first-page":"9213","DOI":"10.3390\/app12189213","volume":"12","author":"W Dang","year":"2022","unstructured":"Dang W, Guo J, Liu M, Liu S, Yang B, Yin L, Zheng W (2022) A semi-supervised extreme learning machine algorithm based on the new weighted kernel for machine smell. Appl Sci 12(18):9213. https:\/\/doi.org\/10.3390\/app12189213","journal-title":"Appl Sci"},{"key":"11109_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/3869619","volume":"3869619","author":"H Duan","year":"2018","unstructured":"Duan H, Lei GR, Shao K (2018) Forecasting crude oil consumption in China using a grey prediction model with an optimal fractional-order accumulating operator. Complexity 3869619:1","journal-title":"Complexity"},{"key":"11109_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3165588","author":"H Duy","year":"2022","unstructured":"Duy H, Dengy Y, Xueyz J, Mengyz D, Zhaoy Q et al (2022) Robust online CSI estimation in a complex environment. IEEE Trans Wireless Commun. https:\/\/doi.org\/10.1109\/TWC.2022.3165588","journal-title":"IEEE Trans Wireless Commun"},{"key":"11109_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2013.11.006","volume":"260","author":"F Gaxiola","year":"2014","unstructured":"Gaxiola F, Melin P, Valdez F, Castillo O (2014) Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction. Inf Sci 260:1\u201314","journal-title":"Inf Sci"},{"key":"11109_CR12","doi-asserted-by":"publisher","first-page":"1084","DOI":"10.1016\/j.asoc.2016.09.021","volume":"52","author":"A Hatami-Marbini","year":"2017","unstructured":"Hatami-Marbini A, Kangi F (2017) An extension of fuzzy TOPSIS for a group decision making with an application to tehran stock exchange. Appl Soft Comput 52:1084\u20131097","journal-title":"Appl Soft Comput"},{"key":"11109_CR13","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"11109_CR14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3162301","author":"C Huang","year":"2022","unstructured":"Huang C, Jiang F, Huang Q, Wang X, Han Z et al (2022) Dual-graph attention convolution network for 3-D point cloud classification. IEEE Trans Neural Netw Learn Syst. 10.1109\/TNNLS.2022.3162301","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"11109_CR15","unstructured":"Innes M, Edelman A, Fischer K, Rackauckas C, Saba E, Shah VB, Tebbutt WA (2019) Differentiable programming system to bridge machine learning and scientific computing. arXiv: 1907.07587"},{"issue":"9","key":"11109_CR16","doi-asserted-by":"publisher","first-page":"9697","DOI":"10.3934\/mbe.2022450","volume":"19","author":"S Li","year":"2022","unstructured":"Li S, Liu Z (2022) Scheduling uniform machines with restricted assignment. Math Biosci Eng 19(9):9697-9708. https:\/\/doi.org\/10.3934\/mbe.2022450","journal-title":"Math Biosci Eng"},{"key":"11109_CR17","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2021.3050183","author":"D Li","year":"2021","unstructured":"Li D, Yu H, Tee KP, Wu Y, Ge SS et al (2021) On time-synchronized stability and control. IEEE Trans Syst Man Cybern Syst. https:\/\/doi.org\/10.1109\/TSMC.2021.3050183","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"19","key":"11109_CR18","doi-asserted-by":"publisher","first-page":"9529","DOI":"10.3390\/app12199529","volume":"12","author":"S Lu","year":"2022","unstructured":"Lu S, Guo J, Liu S, Yang B, Liu M, Yin L, Zheng W (2022a) An improved algorithm of drift compensation for olfactory sensors. Appl Sci 12(19):9529. https:\/\/doi.org\/10.3390\/app12199529","journal-title":"Appl Sci"},{"key":"11109_CR19","doi-asserted-by":"publisher","first-page":"60876","DOI":"10.1109\/ACCESS.2022.3180725","volume":"10","author":"H Lu","year":"2022","unstructured":"Lu H, Zhu Y, Yin M, Yin G, Xie L (2022b) Multimodal fusion convolutional neural network with cross-attention mechanism for internal defect detection of magnetic tile. IEEE Access 10:60876-60886. https:\/\/doi.org\/10.1109\/ACCESS.2022.3180725","journal-title":"IEEE Access"},{"key":"11109_CR20","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.comcom.2021.09.027","volume":"181","author":"Y Lin","year":"2022","unstructured":"Lin Y, Song H, Ke F, Yan W, Liu Z et al (2022) Optimal caching scheme in D2D networks with multiple robot helpers. Comput commun 181:132-142. https:\/\/doi.org\/10.1016\/j.comcom.2021.09.027","journal-title":"Comput commun"},{"key":"11109_CR21","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.apm.2017.12.010","volume":"56","author":"X Ma","year":"2018","unstructured":"Ma X, Liu Z (2018) The kernel-based nonlinear multivariate grey model. Appl Math Model 56:217\u2013238","journal-title":"Appl Math Model"},{"key":"11109_CR22","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.cnsns.2016.12.017","volume":"48","author":"X Ma","year":"2017","unstructured":"Ma X, Hu Y, Liu Z (2017) A novel kernel regularized nonhomogeneous grey model and its applications. Commun Nonlinear Sci Numer Simul 48:51\u201362","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"11109_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2020.132368","author":"R Maulik","year":"2020","unstructured":"Maulik R, Mohan AT, Lusch B, Madireddy S, Balaprakash P, Livescu D (2020) Time-series learning of latent-space dynamics for reduced-order model closure. Phys D Nonlinear Phenom. https:\/\/doi.org\/10.1016\/j.physd.2020.132368","journal-title":"Phys D Nonlinear Phenom"},{"key":"11109_CR24","unstructured":"Rubanova Y, Chen RT, Duvenaud D (2019) Latent odes for irregularly-sampledtime series. arXiv: 1907.03907"},{"key":"11109_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102367","author":"Y Tang","year":"2021","unstructured":"Tang Y, Liu S, Deng Y, Zhang Y, Yin L et al. (2021) An improved method for soft tissue modeling. Biomed Signal Process and Control. https:\/\/doi.org\/10.1016\/j.bspc.2020.102367","journal-title":"Biomed Signal Process and Control"},{"key":"11109_CR26","doi-asserted-by":"publisher","first-page":"7611","DOI":"10.1016\/j.eswa.2012.01.002","volume":"39","author":"DQ Truong","year":"2012","unstructured":"Truong DQ, Ahn KK (2012) An accurate signal estimator using a novel smart adaptive grey model SAGM(1, 1). Expert Syst Appl 39:7611\u20137620","journal-title":"Expert Syst Appl"},{"key":"11109_CR27","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1016\/j.camwa.2011.06.002","volume":"62","author":"C Tsitouras","year":"2011","unstructured":"Tsitouras C (2011) Runge\u2013Kutta pairs of order 5(4) satisfying only the first column simplifying assumption. Comput Math Appl 62:770\u2013775","journal-title":"Comput Math Appl"},{"key":"11109_CR28","doi-asserted-by":"publisher","first-page":"5524","DOI":"10.1016\/j.apm.2011.05.022","volume":"35","author":"Z Wang","year":"2021","unstructured":"Wang Z, Hipel KW, Wang Q, He S (2021) An optimized NGBM(1,1) model for forecasting the qualified discharge rate of industrial wastewater in China. Appl Math Model 35:5524\u20135532","journal-title":"Appl Math Model"},{"issue":"4","key":"11109_CR29","doi-asserted-by":"publisher","first-page":"825","DOI":"10.3390\/sym14040825","volume":"14","author":"J Wang","year":"2022","unstructured":"Wang J, Liang F, Zhou H, Yang M, Wang Q (2022a) Analysis of Position, pose and force decoupling characteristics of a 4-UPS\/1-RPS parallel grinding robot. Symmetry 14(4):825. https:\/\/doi.org\/10.3390\/sym14040825","journal-title":"Symmetry"},{"issue":"14","key":"11109_CR30","doi-asserted-by":"publisher","first-page":"7219","DOI":"10.3390\/app12147219","volume":"12","author":"J Wang","year":"2022","unstructured":"Wang J, Yang M, Liang F, Feng K, Zhang K, Wang Q (2022b) An algorithm for painting large objects based on a nine-axis UR5 robotic manipulator. Appl Sci 12(14):7219. https:\/\/doi.org\/10.3390\/app12147219","journal-title":"Appl Sci"},{"key":"11109_CR31","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1016\/j.ins.2021.12.078","volume":"588","author":"K Wang","year":"2022","unstructured":"Wang K, Zhang B, Alenezi F, Li S (2022c) Communication-efficient surrogate quantile regression for non-randomly distributed system. Inf Sci 588:425\u2013441. https:\/\/doi.org\/10.1016\/j.ins.2021.12.078","journal-title":"Inf Sci"},{"key":"11109_CR32","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.asoc.2015.09.054","volume":"39","author":"L Wu","year":"2016","unstructured":"Wu L, Liu S, Yang Y (2016) Grey double exponential smoothing model and its application on pig price forecasting in China. Appl Soft Comput 39:117\u2013123","journal-title":"Appl Soft Comput"},{"issue":"4","key":"11109_CR33","doi-asserted-by":"publisher","first-page":"1595","DOI":"10.1109\/TCYB.2018.2877161","volume":"50","author":"Z Wu","year":"2020","unstructured":"Wu Z, Cao J, Wang Y, Wang Y, Zhang L et al (2020) hPSD: a hybrid PU-learning-based spammer detection model for product reviews. IEEE Trans Cybern 50(4):1595-1606. https:\/\/doi.org\/10.1109\/TCYB.2018.2877161","journal-title":"IEEE Trans Cybern"},{"key":"11109_CR34","doi-asserted-by":"publisher","first-page":"1173","DOI":"10.1016\/j.apm.2008.01.011","volume":"33","author":"N Xie","year":"2019","unstructured":"Xie N, Liu S (2019) Discrete grey forecasting model and its optimization. Appl Math Model 33:1173\u20131186","journal-title":"Appl Math Model"},{"key":"11109_CR35","doi-asserted-by":"publisher","first-page":"5059","DOI":"10.1016\/j.apm.2012.10.037","volume":"37","author":"N Xie","year":"2013","unstructured":"Xie N, Liu S, Yang Y, Yuan C (2013) On novel grey forecasting model based on non-homogeneous index sequence. Appl Math Model 37:5059\u20135068","journal-title":"Appl Math Model"},{"key":"11109_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2021.126537","author":"X Xin","year":"2022","unstructured":"Xin X, Yidong T, Vladimir S, Hai W, Kaibo S, Shuping H, Tianhong P (2022) Online reinforcement learning multiplayer non-zero sum games of continuous-time Markov jump linear systems. Appl Math Comput. https:\/\/doi.org\/10.1016\/j.amc.2021.126537","journal-title":"Appl Math Comput"},{"key":"11109_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2022.3223984","author":"S Xiao","year":"2022","unstructured":"Xiao S, Cao Y, Wu G, Guo Y, Gao G, Chen S et al (2022) Influence of the distributed grounding layout for intercity trains on the \u2018train-rail\u2019 circumflux. IEEE Trans Circuits Syst II: Express Briefs. https:\/\/doi.org\/10.1109\/TCSII.2022.3223984","journal-title":"IEEE Trans Circuits Syst II: Express Briefs"},{"key":"11109_CR38","doi-asserted-by":"publisher","first-page":"101088","DOI":"10.1016\/j.nahs.2021.101088","volume":"42","author":"Z Xu","year":"2021","unstructured":"Xu Z, Li X, Stojanovic V (2021) Exponential stability of nonlinear state-dependent delayed impulsive systems with applications. Nonlinear Anal Hybrid Syst 42:101088. https:\/\/doi.org\/10.1016\/j.nahs.2021.101088","journal-title":"Nonlinear Anal Hybrid Syst"},{"key":"11109_CR39","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2022.3185777","author":"W Xu","year":"2022","unstructured":"Xu W, Qu S, Zhang C (2022) Fast terminal sliding mode current control with adaptive extended state disturbance observer for PMSM system. IEEE J Emerg Sel Topics Power Electron. https:\/\/doi.org\/10.1109\/JESTPE.2022.3185777","journal-title":"IEEE J Emerg Sel Topics Power Electron"},{"issue":"1","key":"11109_CR40","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1109\/TPEL.2022.3200721","volume":"38","author":"S Xu","year":"2023","unstructured":"Xu S, Huang W, Wang H, Zheng W, Wang J, Chai Y et al (2023) A simultaneous diagnosis method for power switch and current sensor faults in grid-connected three-level NPC inverters. IEEE Trans Power Electron 38(1):1104-1118. https:\/\/doi.org\/10.1109\/TPEL.2022.3200721","journal-title":"IEEE Trans Power Electron"},{"issue":"5","key":"11109_CR41","doi-asserted-by":"publisher","first-page":"3931","DOI":"10.1109\/TAES.2020.2982341","volume":"56","author":"A Yan","year":"2020","unstructured":"Yan A, Chen Y, Xu Z, Chen Z, Cui J, Huang Z et al (2020) Design of double-upset recoverable and transient-pulse filterable latches for low-power and low-orbit aerospace applications. IEEE Trans Aerosp Electron Syst 56(5):3931-3940. https:\/\/doi.org\/10.1109\/TAES.2020.2982341","journal-title":"IEEE Trans Aerosp Electron Syst"},{"key":"11109_CR42","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2022.3213212","author":"A Yan","year":"2022","unstructured":"Yan A, Li Z, Cui J, Huang Z, Ni T, Girard P et al (2022) LDAVPM: a latch design and algorithm-based verification protected against multiple-node-upsets in harsh radiation environments. IEEE Trans Comput-Aided Des Integr Circuits Syst. https:\/\/doi.org\/10.1109\/TCAD.2022.3213212","journal-title":"IEEE Trans Comput-Aided Des Integr Circuits Syst"},{"key":"11109_CR43","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3220889","author":"M Yin","year":"2022","unstructured":"Yin M, Zhu Y, Yin G, Fu G, Xie L (2022) Deep feature interaction network for point cloud registration, with applications to optical measurement of blade profiles. IEEE Trans Indust Inf. https:\/\/doi.org\/10.1109\/TII.2022.3220889","journal-title":"IEEE Trans Indust Inf"},{"key":"11109_CR44","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1016\/j.energy.2016.06.090","volume":"112","author":"B Zeng","year":"2016","unstructured":"Zeng B, Li C (2016) Forecasting the natural gas demand in China using a self-adapting intelligent grey model. Energy 112:810\u2013825","journal-title":"Energy"},{"key":"11109_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.seta.2022.102591","volume":"53","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, Liu Z, Jiang X, Peng Y, Zhu C et al (2022a) Experimental investigation on performance improvement of cantilever piezoelectric energy harvesters via escapement mechanism from extremely Low-Frequency excitations. Sustain Energ Technol Assess 53:102591. https:\/\/doi.org\/10.1016\/j.seta.2022.102591","journal-title":"Sustain Energ Technol Assess"},{"key":"11109_CR46","doi-asserted-by":"publisher","DOI":"10.1039\/D2EE01590K","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, Xin C, Shen F, Gong Y, Zi Y, Guo H, et al (2022b) Human body IoT systems based on triboelectrification effect: energy harvesting, sensing, interfacing and communication. Energy Environ Sci. https:\/\/doi.org\/10.1039\/D2EE01590K","journal-title":"Energy Environ Sci"},{"issue":"8","key":"11109_CR47","doi-asserted-by":"publisher","first-page":"12633","DOI":"10.1109\/TITS.2021.3115823","volume":"23","author":"H Zhang","year":"2022","unstructured":"Zhang H et al. (2022c). C2FDA: Coarse-to-fine domain adaptation for traffic object detection. IEEE Trans Intel Transp Syst 23(8):12633-12647. https:\/\/doi.org\/10.1109\/TITS.2021.3115823","journal-title":"IEEE Trans Intel Transp Syst"},{"issue":"3","key":"11109_CR48","doi-asserted-by":"publisher","first-page":"1843","DOI":"10.1109\/TGRS.2019.2949797","volume":"58","author":"M Zhao","year":"2020","unstructured":"Zhao M et al (2020). Building a Series of Consistent Night-Time Light Data (1992\u20132018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS. IEEE Trans Geosci Remote Sens 58(3):1843-1856. https:\/\/doi.org\/10.1109\/TGRS.2019.2949797","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"11109_CR49","doi-asserted-by":"publisher","unstructured":"Zheng W, Tian X, Yang B, Liu S, Ding Y, Tian J et al (2022a) A few shot classification methods based on multiscale relational networks. Appl Sci 12(8). https:\/\/doi.org\/10.3390\/app12084059","DOI":"10.3390\/app12084059"},{"key":"11109_CR50","doi-asserted-by":"publisher","DOI":"10.3390\/app12084059","author":"W Zheng","year":"2022","unstructured":"Zheng W, Tian X, Yang B, Liu S, Ding Y, Tian, J et al (2022b) A few shot classification methods based on multiscale relational networks. Appl Sci. https:\/\/doi.org\/10.3390\/app12084059","journal-title":"Appl Sci"},{"key":"11109_CR51","doi-asserted-by":"publisher","first-page":"1111","DOI":"10.1002\/atr.1392","volume":"50","author":"Z Zhu","year":"2016","unstructured":"Zhu Z, Peng B, Xiong C, Zhang L (2016) Short-term traffic flow prediction with linear conditional Gaussian Bayesian network. J Adv Transp 50:1111\u20131123","journal-title":"J Adv Transp"},{"key":"11109_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compeleceng.2022.107819","volume":"99","author":"W Zhou","year":"2022","unstructured":"Zhou W, Wang H, Wan Z (2022) Ore image classification based on improved CNN. Comput Electr Eng 99:1. https:\/\/doi.org\/10.1016\/j.compeleceng.2022.107819","journal-title":"Comput Electr Eng"},{"key":"11109_CR53","doi-asserted-by":"publisher","unstructured":"Zong C, Wan Z (2022) Container ship cell guide accuracy check technology based on improved 3D point cloud instance segmentation. Brodogradnja 73(1):23-35. https:\/\/doi.org\/10.21278\/brod73102","DOI":"10.21278\/brod73102"},{"key":"11109_CR54","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.compeleceng.2022.107685","volume":"98","author":"C Zong","year":"2022","unstructured":"Zong C, Wang H, ZhiboWan (2022) An improved 3D point cloud instance segmentation method for overhead catenary height detection. Comput Electr Eng 98:1. https:\/\/doi.org\/10.1016\/j.compeleceng.2022.107685","journal-title":"Comput Electr Eng"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11109-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11063-022-11109-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-022-11109-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,4]],"date-time":"2023-12-04T01:49:54Z","timestamp":1701654594000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11063-022-11109-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,5]]},"references-count":54,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["11109"],"URL":"https:\/\/doi.org\/10.1007\/s11063-022-11109-9","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,5]]},"assertion":[{"value":"10 December 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors would like to state that they have no conflict of interest in the publication of this article. All data and measurements analyzed not only in illustration but also the examples during this study are included within the article and the application of the methodology in this paper is original without submitting other journals for publication.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"Not applicable<b>.<\/b>","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable<b>.<\/b>","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}}]}}