{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T23:46:32Z","timestamp":1740181592246,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T00:00:00Z","timestamp":1721001600000},"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":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-03050-6","type":"journal-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T16:02:19Z","timestamp":1721059339000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mass Prediction and Analysis of an Object\u2019s Mass from Its Image Using Deep Learning"],"prefix":"10.1007","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9290-4378","authenticated-orcid":false,"given":"Amar","family":"Nath","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Divya","family":"Patel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajdeep","family":"Niyogi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,15]]},"reference":[{"unstructured":"Agmon N, Stone P. Leading ad hoc agents in joint action settings with multiple teammates. In: AAMAS; 2012. pp. 341\u2013348.","key":"3050_CR1"},{"issue":"4","key":"3050_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/robotics8040092","volume":"8","author":"T Aujeszky","year":"2019","unstructured":"Aujeszky T, Korres G, Eid M, Khorrami F. Estimating weight of unknown objects using active thermography. Robotics. 2019;8(4):1\u201313.","journal-title":"Robotics"},{"issue":"3","key":"3050_CR3","doi-asserted-by":"publisher","first-page":"E157","DOI":"10.1111\/j.1750-3841.2010.01522.x","volume":"75","author":"MO Balaban","year":"2010","unstructured":"Balaban MO, \u00dcnal \u015eeng\u00f6r GF, Soriano MG, Ruiz EG. Using image analysis to predict the weight of Alaskan salmon of different species. J Food Sci. 2010;75(3):E157\u201362.","journal-title":"J Food Sci"},{"issue":"4","key":"3050_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2461912.2462002","volume":"32","author":"S Bell","year":"2013","unstructured":"Bell S, Upchurch P, Snavely N, Bala K. Opensurfaces: a richly annotated catalog of surface appearance. ACM Trans Gr. 2013;32(4):1\u201317.","journal-title":"ACM Trans Gr"},{"doi-asserted-by":"crossref","unstructured":"Bell S, Upchurch P, Snavely N, Bala K. Material recognition in the wild with the materials in context database. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2015. pp. 3479\u20133487.","key":"3050_CR5","DOI":"10.1109\/CVPR.2015.7298970"},{"issue":"2","key":"3050_CR6","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1080\/09712119.2007.9706877","volume":"32","author":"Y Bozkurt","year":"2007","unstructured":"Bozkurt Y, Aktan S, Ozkaya S. Body weight prediction using digital image analysis for slaughtered beef cattle. J Appl Anim Res. 2007;32(2):195\u20138.","journal-title":"J Appl Anim Res"},{"key":"3050_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.margen.2019.100723","volume":"51","author":"MC Cieslak","year":"2020","unstructured":"Cieslak MC, Castelfranco AM, Roncalli V, Lenz PH, Hartline DK. t-distributed stochastic neighbor embedding (t-sne): a tool for eco-physiological transcriptomic analysis. Mar Genom. 2020;51: 100723.","journal-title":"Mar Genom"},{"key":"3050_CR8","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.biosystemseng.2021.02.001","volume":"204","author":"R Dohmen","year":"2021","unstructured":"Dohmen R, Catal C, Liu Q. Image-based body mass prediction of heifers using deep neural networks. Biosys Eng. 2021;204:283\u201393.","journal-title":"Biosys Eng"},{"issue":"2","key":"3050_CR9","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/S0960-9822(03)00007-1","volume":"13","author":"JR Flanagan","year":"2003","unstructured":"Flanagan JR, Vetter P, Johansson RS, Wolpert DM. Prediction precedes control in motor learning. Curr Biol. 2003;13(2):146\u201350.","journal-title":"Curr Biol"},{"doi-asserted-by":"crossref","unstructured":"Hamdan M, Rover D, Darr M, Just J. Mass estimation from images using deep neural network and sparse ground truth. In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA). IEEE; 2019. pp. 1987\u20131992.","key":"3050_CR10","DOI":"10.1109\/ICMLA.2019.00318"},{"issue":"9","key":"3050_CR11","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1177\/0278364912438781","volume":"31","author":"Y Jiang","year":"2012","unstructured":"Jiang Y, Lim M, Zheng C, Saxena A. Learning to place new objects in a scene. Int J Robot Res. 2012;31(9):1021\u201343.","journal-title":"Int J Robot Res"},{"unstructured":"Kingma DP, Ba J. Adam: a method for stochastic optimization. 2014. arXiv preprint arXiv:1412.6980","key":"3050_CR12"},{"doi-asserted-by":"crossref","unstructured":"Konovalov DA, Saleh A, Efremova DB, Domingos JA, Jerry DR (2019) Automatic weight estimation of harvested fish from images. In: 2019 digital image computing: techniques and applications (DICTA). IEEE. p. 1\u20137.","key":"3050_CR13","DOI":"10.1109\/DICTA47822.2019.8945971"},{"key":"3050_CR14","first-page":"1097","volume":"25","author":"A Krizhevsky","year":"2012","unstructured":"Krizhevsky A, Sutskever I, Hinton GE. Imagenet classification with deep convolutional neural networks. Adv Neural Inf Process Syst. 2012;25:1097\u2013105.","journal-title":"Adv Neural Inf Process Syst"},{"unstructured":"Krotkov E. Robotic perception of material. In: IJCAI. 1995. pp. 88\u201395.","key":"3050_CR15"},{"doi-asserted-by":"crossref","unstructured":"Le S, Lee M, Fang A. Non-linear image-based regression of body segment parameters. In: 13th International conference on biomedical engineering. Springer; 2009. pp. 2038\u20132042.","key":"3050_CR16","DOI":"10.1007\/978-3-540-92841-6_508"},{"key":"3050_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2019.103374","volume":"124","author":"N Mavrakis","year":"2020","unstructured":"Mavrakis N, Stolkin R. Estimation and exploitation of objects\u2019 inertial parameters in robotic grasping and manipulation: A survey. Robot Auton Syst. 2020;124: 103374.","journal-title":"Robot Auton Syst"},{"issue":"4","key":"3050_CR18","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/s41315-019-00111-5","volume":"3","author":"A Nath","year":"2019","unstructured":"Nath A, Arun AR, Niyogi R. A distributed approach for road clearance with multi-robot in urban search and rescue environment. Int J Intell Robot Appl. 2019;3(4):392\u2013406.","journal-title":"Int J Intell Robot Appl."},{"doi-asserted-by":"crossref","unstructured":"Nath A, Arun AR, Niyogi R. A distributed approach for autonomous cooperative transportation in a dynamic multi-robot environment. In: Proceedings of the 35th annual ACM symposium on applied Computing; 2020. pp. 792\u2013799.","key":"3050_CR19","DOI":"10.1145\/3341105.3373980"},{"key":"3050_CR20","doi-asserted-by":"publisher","DOI":"10.1002\/9780470172506","volume-title":"Handbook of industrial robotics","author":"SY Nof","year":"1999","unstructured":"Nof SY. Handbook of industrial robotics. Oxford: Wiley; 1999."},{"doi-asserted-by":"crossref","unstructured":"Patel D, Nath A, Niyogi R. Adding material embedding to the image2mass problem. In: Computational science and its applications\u2014ICCSA 2022 workshops: Malaga, Spain, July 4\u20137, 2022, Proceedings, Part I. Springer; 2022. pp. 77\u201390.","key":"3050_CR21","DOI":"10.1007\/978-3-031-10536-4_6"},{"unstructured":"Quigley M, Conley K, Gerkey B, Faust J, Foote T, Leibs J, Wheeler R, Ng AY, et\u00a0al. Ros: an open-source robot operating system. In: ICRA workshop on open source software, Vol.\u00a03. Kobe, Japan; 2009. p. 5.","key":"3050_CR22"},{"unstructured":"Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. 2014. arXiv preprint arXiv:1409.1556.","key":"3050_CR23"},{"key":"3050_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2019.109828","volume":"274","author":"SK Singh","year":"2020","unstructured":"Singh SK, Vidyarthi SK, Tiwari R. Machine learnt image processing to predict weight and size of rice kernels. J Food Eng. 2020;274: 109828.","journal-title":"J Food Eng"},{"unstructured":"Standley T, Sener O, Chen D, Savarese S. image2mass: estimating the mass of an object from its image. In: Conference on Robot Learning; 2017. pp. 324\u2013333.","key":"3050_CR25"},{"doi-asserted-by":"crossref","unstructured":"Szegedy C, Liu W, Jia Y, Sermanet P, Reed S, Anguelov D, Erhan D, Vanhoucke V, Rabinovich A. Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition; 2015. pp. 1\u20139.","key":"3050_CR26","DOI":"10.1109\/CVPR.2015.7298594"},{"doi-asserted-by":"crossref","unstructured":"Tadokoro S, Kitano H, Takahashi T, Noda I, Matsubara H, Shinjoh A, Koto T, Takeuchi I, Takahashi H, Matsuno F, et\u00a0al. The robocup-rescue project: a robotic approach to the disaster mitigation problem. In: Proceedings ICRA, Vol.\u00a04. IEEE; 2000. pp. 4089\u20134094.","key":"3050_CR27","DOI":"10.1109\/ROBOT.2000.845369"},{"issue":"9","key":"3050_CR28","doi-asserted-by":"publisher","DOI":"10.1111\/jfpe.13473","volume":"43","author":"SK Vidyarthi","year":"2020","unstructured":"Vidyarthi SK, Tiwari R, Singh SK, Xiao HW. Prediction of size and mass of pistachio kernels using random forest machine learning. J Food Process Eng. 2020;43(9): e13473.","journal-title":"J Food Process Eng"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03050-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-03050-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03050-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,24]],"date-time":"2024-11-24T05:08:54Z","timestamp":1732424934000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-03050-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,15]]},"references-count":28,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,8]]}},"alternative-id":["3050"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-03050-6","relation":{},"ISSN":["2661-8907"],"issn-type":[{"type":"electronic","value":"2661-8907"}],"subject":[],"published":{"date-parts":[[2024,7,15]]},"assertion":[{"value":"24 April 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No human or animal subjects were involved in this study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"711"}}