{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T22:41:16Z","timestamp":1777588876685,"version":"3.51.4"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001459","name":"Ministry of Education - Singapore","doi-asserted-by":"publisher","award":["WBS: R-265-000-614-114"],"award-info":[{"award-number":["WBS: R-265-000-614-114"]}],"id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1007\/s12652-020-02798-y","type":"journal-article","created":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T23:02:22Z","timestamp":1609542142000},"page":"10865-10879","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["CPS-based manufacturing workcell for the production of hybrid medical devices"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7522-2984","authenticated-orcid":false,"given":"Nicholas","family":"Ho","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pooi-Mun","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ngoc-Son","family":"Hoang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dun-Kai","family":"Koh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew Chin Heng","family":"Chua","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chee-Kong","family":"Chui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,1]]},"reference":[{"key":"2798_CR1","unstructured":"Alom MZ, Taha TM, Yakopcic C, Westberg S, Hasan M, Esesn BCV, Awwal AAS, Asari VK (2018) The history began from AlexNet: a comprehensive survey on deep learning approaches. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 1\u201339"},{"key":"2798_CR2","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.pmcj.2017.06.011","volume":"40","author":"B Bordel","year":"2017","unstructured":"Bordel B, Alcarria R, Robles T, Mart\u00edn D (2017a) Cyber\u2013physical systems: extending pervasive sensing from control theory to the Internet of Things. Pervasive Mob Comput 40:156\u2013184. https:\/\/doi.org\/10.1016\/j.pmcj.2017.06.011","journal-title":"Pervasive Mob Comput"},{"key":"2798_CR3","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1007\/s12652-016-0410-3","volume":"8","author":"B Bordel","year":"2017","unstructured":"Bordel B, Alcarria R, Martin D, Robles T, Rivera DS (2017b) Self-configuration in humanized cyber-physical systems. J Ambient Intell Human Comput 8:485\u2013496. https:\/\/doi.org\/10.1007\/s12652-016-0410-3","journal-title":"J Ambient Intell Human Comput"},{"issue":"6","key":"2798_CR4","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1108\/17542730810909329","volume":"20","author":"A Brown","year":"2008","unstructured":"Brown A, Eatock J, Dixon D, Meenan BJ, Anderson J (2008) Quality and continuous improvement in medical device manufacturing. TQM J 20(6):541\u2013555. https:\/\/doi.org\/10.1108\/17542730810909329","journal-title":"TQM J"},{"issue":"11\u201312","key":"2798_CR5","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1089\/ten.2005.11.1699","volume":"11","author":"E Bueno","year":"2005","unstructured":"Bueno E, Bilgen B, Barabino G (2005) Wavy-walled bioreactor supports increased cell proliferation and matrix deposition in engineered cartilage constructs. Tissue Eng 11(11\u201312):1699\u20131709. https:\/\/doi.org\/10.1089\/ten.2005.11.1699","journal-title":"Tissue Eng"},{"key":"2798_CR6","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-981-10-1675-2\\_17","volume":"468","author":"P Chaudhari","year":"2016","unstructured":"Chaudhari P, Agarwal H (2016) Progressive review towards deep learning techniques. Proceedings of the International Conference on Data Engineering and Communication Technology 468:151\u2013158. https:\/\/doi.org\/10.1007\/978-981-10-1675-2\\_17","journal-title":"Proceedings of the International Conference on Data Engineering and Communication Technology"},{"issue":"2","key":"2798_CR7","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1109\/TNANO.2015.2396536","volume":"14","author":"M Chua","year":"2015","unstructured":"Chua M, Chui CK (2015a) New attenuation predictive model for carbon-based nanocomposites. IEEE Trans Nanotechnol 14(2):363\u2013371. https:\/\/doi.org\/10.1109\/TNANO.2015.2396536","journal-title":"IEEE Trans Nanotechnol"},{"key":"2798_CR8","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.jmbbm.2015.01.013","volume":"44C","author":"M Chua","year":"2015","unstructured":"Chua M, Chui CK (2015b) Probabilistic predictive modelling of carbon nanocomposites for medical implants design. J Mech Behav Biomed Mater 44C:164\u2013172. https:\/\/doi.org\/10.1016\/j.jmbbm.2015.01.013","journal-title":"J Mech Behav Biomed Mater"},{"issue":"4","key":"2798_CR9","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/MNANO.2013.2289691","volume":"7","author":"M Chua","year":"2013","unstructured":"Chua M, Chui CK, Chng CB, Lau D (2013a) Carbon nanotube-based artificial tracheal prosthesis: carbon nanocomposite implants for patient-specific ENT care. IEEE Nanatechnol Mag 7(4):27\u201331. https:\/\/doi.org\/10.1109\/MNANO.2013.2289691","journal-title":"IEEE Nanatechnol Mag"},{"key":"2798_CR10","doi-asserted-by":"publisher","unstructured":"Chua M, Chui CK, Chng CB, Lau D (2013b) Experiments of carbon nanocomposite implants for patient specific ENT care. In: Proceedings of the 7th IEEE international conference on nano\/molecular medicine and engineering (NANOMED), pp 72\u201376. https:\/\/doi.org\/10.1109\/NANOMED.2013.6766318","DOI":"10.1109\/NANOMED.2013.6766318"},{"issue":"1","key":"2798_CR11","doi-asserted-by":"publisher","first-page":"31","DOI":"10.5301\/ijao.5000374","volume":"38","author":"M Chua","year":"2015","unstructured":"Chua M, Chui CK, Teo C, Lau D (2015a) Patient-specific carbon nanocomposite tracheal prosthesis. Int J Artif Organs 38(1):31\u201338. https:\/\/doi.org\/10.5301\/ijao.5000374","journal-title":"Int J Artif Organs"},{"key":"2798_CR12","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.cad.2014.09.002","volume":"59","author":"M Chua","year":"2015","unstructured":"Chua M, Chui CK, Teo C (2015b) Computer aided design and experiment of a novel patient-specific carbon nanocomposite voice prosthesis. Comput Aided Des 59:108\u2013118. https:\/\/doi.org\/10.1016\/j.cad.2014.09.002","journal-title":"Comput Aided Des"},{"issue":"10","key":"2798_CR13","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1080\/0951192X.2014.934292","volume":"27","author":"J Ciurana","year":"2014","unstructured":"Ciurana J (2014) Designing, prototyping and manufacturing medical devices: an overview. Int J Comput Integ Manuf 27(10):901\u2013918. https:\/\/doi.org\/10.1080\/0951192X.2014.934292","journal-title":"Int J Comput Integ Manuf"},{"key":"2798_CR14","unstructured":"Donahue J, Jia Y, Vinyals O, Hoffman J, Zhang N, Tzeng E, Darrell T (2014) DeCAF: a deep convolutional activation feature for generic visual recognition. In: Proceedings of the 31st international conference in machine learning (ICML), vol 32(1), pp 647\u2013655"},{"key":"2798_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/402859","volume":"402859","author":"J Ge","year":"2013","unstructured":"Ge J, Li M, Zhang Q, Yang CZ, Wooley PH, Chen X et al (2013) Silica aerogel improves the biocompatibility in a poly-e-caprolactone composite used as a tissue engineering scaffold. Int J Polym Sci 402859:1\u20137. https:\/\/doi.org\/10.1155\/2013\/402859","journal-title":"Int J Polym Sci"},{"key":"2798_CR16","doi-asserted-by":"publisher","unstructured":"Gkioxari G, Girshick R, Malik J (2015) Contextual action recognition with R*CNN. In: Proceedings of the IEEE international conference on computer vision, vol 1080\u20131088. https:\/\/doi.org\/10.1109\/iccv.2015.129","DOI":"10.1109\/iccv.2015.129"},{"issue":"6","key":"2798_CR17","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.rcim.2007.02.005","volume":"23","author":"H Golnabi","year":"2007","unstructured":"Golnabi H, Asadpour A (2007) Design and application of industrial machine vision systems. Robot CIM-INT Manuf 23(6):630\u2013637. https:\/\/doi.org\/10.1016\/j.rcim.2007.02.005","journal-title":"Robot CIM-INT Manuf"},{"key":"2798_CR18","doi-asserted-by":"publisher","first-page":"2111","DOI":"10.1039\/C1JM14631A","volume":"22","author":"C He","year":"2012","unstructured":"He C, Zhang F, Cao L, Feng W, Qiu K, Zhang Y et al (2012) Rapid mineralization of porous gelatin scaffolds by electrodeposition for bone tissue engineering. J Mater Chem 22:2111\u20132119. https:\/\/doi.org\/10.1039\/C1JM14631A","journal-title":"J Mater Chem"},{"key":"2798_CR19","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.compbiomed.2017.03.013","volume":"84","author":"N Ho","year":"2017","unstructured":"Ho N, Chua M, Chui CK (2017a) Optimization of cell seeding in a 2D bio-scaffold system using computational models. Comput Biol Med 84:98\u2013113. https:\/\/doi.org\/10.1016\/j.compbiomed.2017.03.013","journal-title":"Comput Biol Med"},{"key":"2798_CR20","doi-asserted-by":"publisher","unstructured":"Ho N, Ang W, Chui CK (2017b) Workcell for hybrid medical device fabrication. In: Proceedings of the 3rd CIRP conference on biomanufacturing, vol 65, pp 236\u2013241. https:\/\/doi.org\/10.1016\/j.procir.2017.04.052","DOI":"10.1016\/j.procir.2017.04.052"},{"issue":"23","key":"2798_CR21","doi-asserted-by":"publisher","first-page":"30651","DOI":"10.1007\/s11042-018-6216-x","volume":"77","author":"N Ho","year":"2018","unstructured":"Ho N, Wong PM, Chua M, Chui CK (2018) Virtual reality training for assembly of hybrid medical devices. Multimed Tools Appl 77(23):30651\u201330682. https:\/\/doi.org\/10.1007\/s11042-018-6216-x","journal-title":"Multimed Tools Appl"},{"key":"2798_CR22","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.jmsy.2018.12.010","volume":"50","author":"N Ho","year":"2019","unstructured":"Ho N, Ngooi SD, Chui CK (2019) Optimization of workcell layout for hybrid medical device fabrication. J Manuf Syst 50:163\u2013179. https:\/\/doi.org\/10.1016\/j.jmsy.2018.12.010","journal-title":"J Manuf Syst"},{"issue":"2","key":"2798_CR23","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/bip.21701","volume":"97","author":"ME Hoque","year":"2011","unstructured":"Hoque ME, Chuan YL, Pashby I (2011) Extrusion based rapid prototyping technique: an advanced platform for tissue engineering scaffold fabrication. Biopolymers 97(2):83\u201393. https:\/\/doi.org\/10.1002\/bip.21701","journal-title":"Biopolymers"},{"issue":"5","key":"2798_CR24","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1002\/bit.20797","volume":"93","author":"T Kitagawa","year":"2006","unstructured":"Kitagawa T, Yamaoka T, Iwase R, Murakami A (2006) Three-dimensional cell seeding and growth in radial-flow perfusion bioreactor for in vitro tissue reconstruction. Biotechnol Bioeng 93(5):947\u2013954. https:\/\/doi.org\/10.1002\/bit.20797","journal-title":"Biotechnol Bioeng"},{"issue":"3","key":"2798_CR25","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1016\/j.jvs.2016.09.034","volume":"66","author":"JT Krawiec","year":"2017","unstructured":"Krawiec JT, Liao HT, Kwan LL, D\u2019Amore A, Weinbaum JS, Rubin JP, Wagner WR, Vorp DA (2017) Evaluation of the stromal vascular fraction of adipose tissue as the basis for a stem cell-based tissue-engineered vascular graft. J Vasc Surg 66(3):883\u2013890. https:\/\/doi.org\/10.1016\/j.jvs.2016.09.034","journal-title":"J Vasc Surg"},{"key":"2798_CR26","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-319-67618-0_17","volume":"661","author":"S Kristiansen","year":"2018","unstructured":"Kristiansen S, Goebel V, \u00d8yri K, Plagemann T (2018) Event-based methodology for real-time data analysis in cyber physical systems. Adv Intell Syst Comput 661:184\u2013195. https:\/\/doi.org\/10.1007\/978-3-319-67618-0_17","journal-title":"Adv Intell Syst Comput"},{"key":"2798_CR27","doi-asserted-by":"publisher","unstructured":"Lee I, Sokolsky O (2010) Medical cyber physical systems. In: Proceedings of the 47th design automation conference, vol 743\u2013748. https:\/\/doi.org\/10.1145\/1837274.1837463","DOI":"10.1145\/1837274.1837463"},{"key":"2798_CR28","unstructured":"Lenz C, Grimm M, Roder T, Knoll A (2012) Fusing multiple Kinects to survey shared Human-Robot-Workspaces. Technical Report TUM-I1214, Technische Universit\u00e4t M\u00fcnchen, pp 1\u20136."},{"key":"2798_CR29","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/j.jmsy.2017.04.004","volume":"43","author":"XF Liu","year":"2017","unstructured":"Liu XF, Shahriar MR, Sunny SMNA, Leu MC, Hu L (2017) Cyber-physical manufacturing cloud: architecture, virtualization, communication, and testbed. J Manuf Syst 43:352\u2013364. https:\/\/doi.org\/10.1016\/j.jmsy.2017.04.004","journal-title":"J Manuf Syst"},{"key":"2798_CR30","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.jmsy.2018.02.001","volume":"48","author":"C Liu","year":"2018","unstructured":"Liu C, Vengayil H, Zhong RY, Xu X (2018) A systematic development method for cyber-physical machine tools. J Manuf Syst 48:13\u201324. https:\/\/doi.org\/10.1016\/j.jmsy.2018.02.001","journal-title":"J Manuf Syst"},{"key":"2798_CR31","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.jmsy.2018.05.003","volume":"47","author":"Y Lu","year":"2018","unstructured":"Lu Y, Xu X (2018) Resource virtualization: a core technology for developing cyber-physical production systems. J Manuf Syst 47:128\u2013140. https:\/\/doi.org\/10.1016\/j.jmsy.2018.05.003","journal-title":"J Manuf Syst"},{"issue":"2","key":"2798_CR32","doi-asserted-by":"publisher","first-page":"027551","DOI":"10.1115\/1.3147388","volume":"3","author":"L Lucke","year":"2009","unstructured":"Lucke L, Anderson D, Smith D (2009) Harnessing experience for efficient medical device product development. J Med Devices 3(2):027551\u2013027561. https:\/\/doi.org\/10.1115\/1.3147388","journal-title":"J Med Devices"},{"issue":"4","key":"2798_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11265-017-1304-0","volume":"90","author":"M Ma","year":"2017","unstructured":"Ma M, Lin W, Pan D, Lin Y, Wang P, Zhou Y, Liang X (2017) Data and decision intelligence for human-in-the-loop cyber-physical systems: reference model, recent progresses and challenges. J Signal Process Syst 90(4):1\u201312. https:\/\/doi.org\/10.1007\/s11265-017-1304-0","journal-title":"J Signal Process Syst"},{"issue":"8","key":"2798_CR34","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1557\/jmr.2014.67","volume":"29","author":"HY Mi","year":"2014","unstructured":"Mi HY, Jing X, Salick MR, Turng LS, Peng XF (2014) Fabrication of thermoplastic polyurethane tissue engineering scaffold by combining microcellular injection molding and particle leaching. J Mater Res 29(8):911\u2013922. https:\/\/doi.org\/10.1557\/jmr.2014.67","journal-title":"J Mater Res"},{"issue":"2","key":"2798_CR35","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1016\/j.cirp.2016.06.005","volume":"65","author":"L Monostori","year":"2016","unstructured":"Monostori L, K\u00e1d\u00e1r B, Bauernhansl T, Kondoh S, Kumara S, Reinhart G, Sauer O, Schuh G, Sihn W, Ueda K (2016) Cyber-physical systems in manufacturing. CIRP Ann Manuf Technol 65(2):621\u2013641. https:\/\/doi.org\/10.1016\/j.cirp.2016.06.005","journal-title":"CIRP Ann Manuf Technol"},{"issue":"10","key":"2798_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/s17102302","volume":"17","author":"H Mora","year":"2017","unstructured":"Mora H, Gil D, Terol RM, Azor\u00edn J, Szymanski J (2017) An IoT-based computational framework for healthcare monitoring in mobile environments. Sensors 17(10):1\u201325. https:\/\/doi.org\/10.3390\/s17102302","journal-title":"Sensors"},{"issue":"6","key":"2798_CR37","doi-asserted-by":"publisher","first-page":"061011","DOI":"10.1115\/1.4035721","volume":"139","author":"D Mourtzis","year":"2017","unstructured":"Mourtzis D, Vlachou A, Zogopoulos V (2017) Cloud-based augmented reality remote maintenance through shop-floor monitoring: a product-service system approach. ASME. J Manuf Sci Eng 139(6):061011. https:\/\/doi.org\/10.1115\/1.4035721","journal-title":"ASME. J Manuf Sci Eng"},{"issue":"1","key":"2798_CR38","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1089\/ten.1995.1.3","volume":"1","author":"RM Nerem","year":"2007","unstructured":"Nerem RM, Sambanis A (2007) Tissue engineering: from biology to biological substitutes. Tissue Eng 1(1):3\u201313. https:\/\/doi.org\/10.1089\/ten.1995.1.3","journal-title":"Tissue Eng"},{"issue":"937","key":"2798_CR39","first-page":"1","volume":"12","author":"M Okamoto","year":"2020","unstructured":"Okamoto M, Matsumoto S, Sugiyama A, Kanie K, Watanabe M, Huang H, Ali M, Ito Y, Miura J, Hirose Y, Uto K, Ebara M, Kato R, Yamawaki-Ogata A, Narita Y, Kawabata S, Takahashi Y, Hayashi M (2020) Performance of a biodegradable composite with hydroxyapatite as a scaffold in pulp tissue repair. Polymers 12(937):1\u201314","journal-title":"Polymers"},{"key":"2798_CR40","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.mechatronics.2015.08.010","volume":"34","author":"BC Pirvu","year":"2016","unstructured":"Pirvu BC, Zamfirescu CB, Gorecky D (2016) Engineering insights from an anthropocentric cyber-physical system: a case study for an assembly station. Mechatronics 34:147\u2013159. https:\/\/doi.org\/10.1016\/j.mechatronics.2015.08.010","journal-title":"Mechatronics"},{"key":"2798_CR41","doi-asserted-by":"publisher","unstructured":"Porter J, Berkhahn J, Zhang L (2015) A comparative analysis of read mapping and indel calling pipelines for next-generation sequencing data. In: Tran QN, Arabnia HR (eds) Emerging trends in computational biology, bioinformatics, and systems biology. Elsevier Inc, Waltham, pp 521\u2013535. https:\/\/doi.org\/10.1016\/B978-0-12-802508-6.00029-6","DOI":"10.1016\/B978-0-12-802508-6.00029-6"},{"issue":"4","key":"2798_CR42","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.progpolymsci.2011.08.003","volume":"37","author":"T Premkumar","year":"2012","unstructured":"Premkumar T, Geckeler KE (2012) Graphene\u2013DNA hybrid materials: assembly, applications, and prospects. Prog Polym Sci 37(4):515\u2013529. https:\/\/doi.org\/10.1016\/j.progpolymsci.2011.08.003","journal-title":"Prog Polym Sci"},{"issue":"9","key":"2798_CR43","doi-asserted-by":"publisher","first-page":"2352","DOI":"10.1162\/NECO_a_00990","volume":"29","author":"W Rawat","year":"2017","unstructured":"Rawat W, Wang Z (2017) Deep convolutional neural networks for image classification: a comprehensive review. Neural Comput 29(9):2352\u20132449. https:\/\/doi.org\/10.1162\/NECO_a_00990","journal-title":"Neural Comput"},{"key":"2798_CR44","doi-asserted-by":"publisher","unstructured":"Razavian AS, Azizpour H, Sullivan J, Carlsson S (2014) CNN features off-the-shelf: an astounding baseline for recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, vol 512\u2013519. https:\/\/doi.org\/10.1109\/CVPRW.2014.131","DOI":"10.1109\/CVPRW.2014.131"},{"key":"2798_CR45","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s12652-019-01261-x","volume":"11","author":"S Roy","year":"2020","unstructured":"Roy S, Sarkar D, De D (2020) Entropy-aware ambient IoT analytics on humanized music information fusion. J Ambient Intell Human Comput 11:151\u2013171. https:\/\/doi.org\/10.1007\/s12652-019-01261-x","journal-title":"J Ambient Intell Human Comput"},{"issue":"1","key":"2798_CR46","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/MITP.2016.14","volume":"18","author":"SK Sowe","year":"2016","unstructured":"Sowe SK, Simmon E, Zettsu K, Vaulx FD, Bojanova I (2016) Cyber-physical-human systems: putting people in the loop. IT Prof 18(1):10\u201313. https:\/\/doi.org\/10.1109\/MITP.2016.14","journal-title":"IT Prof"},{"key":"2798_CR47","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.jmsy.2017.05.007","volume":"44","author":"LD Sturm","year":"2017","unstructured":"Sturm LD, Williams CB, Camelio JA, White J, Parker R (2017) Cyber-physical vulnerabilities in additive manufacturing systems: a case study attack on the.STL file with human subjects. J Manuf Syst 44:154\u2013164. https:\/\/doi.org\/10.1016\/j.jmsy.2017.05.007","journal-title":"J Manuf Syst"},{"key":"2798_CR48","unstructured":"USC Consulting Group (2016) Improving efficiency in medical device manufacturing. http:\/\/www.usccg.com\/improve-efficiency-medical-device-manufacturing\/. Accessed 5 January 2019"},{"key":"2798_CR49","doi-asserted-by":"publisher","unstructured":"Vogel-Heuser B, Diedrich C, Pantf\u00f6rder D, G\u00f6hner P (2014) Coupling heterogeneous production systems by a multi-agent based cyber-physical production system. In: Proceedings of the 12th IEEE international conference on industrial informatics (INDIN), vol 713\u2013719. https:\/\/doi.org\/10.1109\/INDIN.2014.6945601","DOI":"10.1109\/INDIN.2014.6945601"},{"key":"2798_CR50","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1016\/j.jmsy.2015.04.008","volume":"37","author":"L Wang","year":"2015","unstructured":"Wang L, T\u00f6rngren M, Onori M (2015) Current status and advancement of cyber-physical systems in manufacturing. J Manuf Syst 37:517\u2013527. https:\/\/doi.org\/10.1016\/j.jmsy.2015.04.008","journal-title":"J Manuf Syst"},{"key":"2798_CR51","doi-asserted-by":"publisher","first-page":"S316","DOI":"10.1016\/j.placenta.2011.04.001","volume":"32","author":"B Weber","year":"2011","unstructured":"Weber B, Zeisberger SM, Hoerstrup SP (2011) Prenatally harvested cells for cardiovascular tissue engineering: Fabrication of autologous implants prior to birth. Placenta 32:S316-319. https:\/\/doi.org\/10.1016\/j.placenta.2011.04.001","journal-title":"Placenta"},{"key":"2798_CR52","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1002\/term.1781","volume":"10","author":"B Weber","year":"2016","unstructured":"Weber B, Kehl D, Bleul U, Behr L, Sammut S, Frese L, Ksiazek A, Achermann J, Stranzinger G, Robert J, Sanders B, Sidler M, Brokopp CE, Proulx ST, Frauenfelder T, Schoenauer R, Emmert MY, Falk V, Hoerstrup SP (2016) In vitro fabrication of autologous living tissue-engineered vascular grafts based on prenatally harvested ovine amniotic fluid-derived stem cells. J Tissue Eng Regen Med 10:52\u201370. https:\/\/doi.org\/10.1002\/term.1781","journal-title":"J Tissue Eng Regen Med"},{"issue":"12","key":"2798_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10916-016-0644-9","volume":"40","author":"Z Yang","year":"2016","unstructured":"Yang Z, Zhou Q, Lei L, Zheng K, Xiang W (2016) An IoT-cloud based wearable ECG monitoring system for smart healthcare. J Med Syst 40(12):1\u201311. https:\/\/doi.org\/10.1007\/s10916-016-0644-9","journal-title":"J Med Syst"},{"key":"2798_CR54","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.neucom.2016.09.010","volume":"219","author":"S Yu","year":"2017","unstructured":"Yu S, Jia S, Xu C (2017) Convolutional neural networks for hyperspectral image classification. Neurocomputing 219:88\u201398. https:\/\/doi.org\/10.1016\/j.neucom.2016.09.010","journal-title":"Neurocomputing"},{"issue":"2","key":"2798_CR55","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1109\/TII.2016.2618892","volume":"13","author":"Y Zhang","year":"2017","unstructured":"Zhang Y, Qian C, Lv J, Liu Y (2017) Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor. IEEE Trans Ind Inform 13(2):737\u2013747. https:\/\/doi.org\/10.1109\/TII.2016.2618892","journal-title":"IEEE Trans Ind Inform"},{"key":"2798_CR56","doi-asserted-by":"publisher","first-page":"4439","DOI":"10.1007\/s12652-018-1125-4","volume":"10","author":"H Zhang","year":"2019","unstructured":"Zhang H, Zhang G, Yan Q (2019) Digital twin-driven cyber-physical production system towards smart shop-floor. J Ambient Intell Human Comput 10:4439\u20134453. https:\/\/doi.org\/10.1007\/s12652-018-1125-4","journal-title":"J Ambient Intell Human Comput"},{"key":"2798_CR57","doi-asserted-by":"publisher","unstructured":"Zhong RY, Wang L, Xu X (2017) An IoT-enabled real-time machine status monitoring approach for cloud manufacturing. In: Proceedings of the 50th CIRP conference on manufacturing systems, vol 63, pp 709\u2013714. https:\/\/doi.org\/10.1016\/j.procir.2017.03.349","DOI":"10.1016\/j.procir.2017.03.349"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02798-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-020-02798-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02798-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T08:50:42Z","timestamp":1635238242000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-020-02798-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,1]]},"references-count":57,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["2798"],"URL":"https:\/\/doi.org\/10.1007\/s12652-020-02798-y","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,1]]},"assertion":[{"value":"24 February 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}