{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:48:20Z","timestamp":1742935700240,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030750992"},{"type":"electronic","value":"9783030751005"}],"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"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-75100-5_33","type":"book-chapter","created":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T09:08:37Z","timestamp":1619168917000},"page":"383-392","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Deep Learning Library Performance Analysis on Raspberry (IoT Device)"],"prefix":"10.1007","author":[{"given":"Luciana P.","family":"Oliveira","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Humberto da S. S.","family":"Santos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edson L. V.","family":"de Almeida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 R.","family":"Barbosa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arley W. N.","family":"da Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas P.","family":"de Azevedo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria V. L.","family":"da Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,24]]},"reference":[{"key":"33_CR1","doi-asserted-by":"crossref","unstructured":"Angra, S., Ahuja, S.: Machine learning and its applications: a review. In: International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), pp. 57\u201360, March 2017","DOI":"10.1109\/ICBDACI.2017.8070809"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Zantalis, F., Koulouras, G., Karabetsos, S., Kandris, D.: A review of machine learning and IoT in smart transportation. Future Internet 11(4), 94 (2019)","DOI":"10.3390\/fi11040094"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Niranjan, A., Mishra, G.: Etas - efficient traffic signal assistance system using deep learning. In: ICCCNT, pp. 1\u20135, July 2018","DOI":"10.1109\/ICCCNT.2018.8494073"},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Jan, T., Sajeev, A.S.M.: Boosted probabilistic neural network for IoT data classification. In: DASC\/PiCom\/DataCom\/CyberSciTech, pp. 408\u2013411, August 2018","DOI":"10.1109\/DASC\/PiCom\/DataCom\/CyberSciTec.2018.00082"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Ta-Shma, P., Akbar, A., Gerson-Golan, G., Hadash, G., Carrez, F., Moessner, K.: An ingestion and analytics architecture for IoT applied to smart city use cases. IEEE Internet Things J. 5(2), 765\u2013774 (2018)","DOI":"10.1109\/JIOT.2017.2722378"},{"key":"33_CR6","unstructured":"Chollet, F., et al.: Keras (2015). https:\/\/keras.io"},{"key":"33_CR7","unstructured":"Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems 2015, software available from tensorflow.org (2015). https:\/\/www.tensorflow.org\/"},{"key":"33_CR8","unstructured":"Paszke, A., et al.: Automatic differentiation in PyTorch. In: NIPS Autodiff Workshop (2017)"},{"key":"33_CR9","unstructured":"Chen, T., et al.: MXNet: a flexible and efficient machine learning library for heterogeneous distributed systems. In: Neural Information Processing Systems,Workshop on Machine Learning Systems (2016). http:\/\/arxiv.org\/abs\/1512.01274"},{"key":"33_CR10","unstructured":"Kononenko, I.: Machine learning for medical diagnosis: history, state of the art and perspective. Artif. Intell. Med. 23(1), 89\u2013109 (2001)"},{"key":"33_CR11","unstructured":"McCulloch, W.S., Pitts, W.: A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5(4), 115\u2013133 (1943)"},{"key":"33_CR12","doi-asserted-by":"crossref","unstructured":"Werbos, P.: Generalization of backpropagation with application to are current gas market model. Neural Netw. 1, 339\u2013356 (1988)","DOI":"10.1016\/0893-6080(88)90007-X"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, J., et al.: Automated detection and localization of myocardial infarction with staked sparse autoencoder and treebagger. IEEE Access 7, 70 634\u201370 642 (2019)","DOI":"10.1109\/ACCESS.2019.2919068"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Hentschel, K., Jacob, D., Singer, J., Chalmers, M.: Supersensors: Raspberry Pi devices for smart campus infrastructure, pp. 58\u201362, August 2016","DOI":"10.1109\/FiCloud.2016.16"},{"key":"33_CR15","unstructured":"Gerhardt, T.E., Silveira, D.T.: M\u00e9todos de pesquisa. EditoraUFRGS (2009)"},{"key":"33_CR16","unstructured":"Valletta, J.J., Torney, C., Kings, M., Thornton, A., Madden, J.: Applications of machine learning in animal behaviour studies. Anim. Behav. 124, 203 \u2013 220 (2017). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0003347216303360"},{"key":"33_CR17","unstructured":"Wang, G.: Machine learning for inferring animal behavior from location and movement data. Ecol. Inform. 49, pp. 69\u201376 (2019). http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1574954118302036"},{"key":"33_CR18","unstructured":"Netzer, Y., Wang, T., Coates, A., Bissacco, A., Wu, B., Ng, A.Y.: Reading digits in natural images with unsupervised feature learning (2011)"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Salih, F., Omer, S.A.M.: Raspberry pi as a video server. In: International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE), August 2018","DOI":"10.1109\/ICCCEEE.2018.8515817"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Sandeep, V., et al.: Globally accessible machine automation using raspberry Pi based on internet of things. In: ICACCI, pp.1144\u20131147, August 2015","DOI":"10.1109\/ICACCI.2015.7275764"},{"key":"33_CR21","unstructured":"Fundation, R.P.: Raspberry Pi 3 model b (2016). https:\/\/www.raspberrypi.org\/products\/raspberry-pi-3-model-b"},{"key":"33_CR22","doi-asserted-by":"crossref","unstructured":"Sandeep, V., et al.: Globally accessible machine automation using raspberry Pi based on internet of things. In: ICACCI, pp. 1144\u20131147, August 2015","DOI":"10.1109\/ICACCI.2015.7275764"},{"key":"33_CR23","unstructured":"Xiao, H., Rasul, K., Vollgraf, R.: Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms. arXiv:1708.07747, August 2017"},{"key":"33_CR24","doi-asserted-by":"crossref","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. In: Proceedings of the IEEE, vol. 86(11), pp. 2278\u20132324, November 1998","DOI":"10.1109\/5.726791"},{"key":"33_CR25","unstructured":"Harrison, D., Rubinfeld, D.L.: Hedonic housing prices and the demand for clean air. J. Environ. Econ. Manage. 5, 81\u2013102 (1978). http:\/\/www.sciencedirect.com\/science\/article\/pii\/0095069678900062"},{"key":"33_CR26","doi-asserted-by":"publisher","unstructured":"Menezes, A.H., Kelvin, R.D.O., Oliveira, L.P., Oliveira, P.J.D.S.: IoT Environment to Train Service Dogs, S3C (2017). https:\/\/doi.org\/10.1109\/S3C.2017.8501386","DOI":"10.1109\/S3C.2017.8501386"}],"container-title":["Lecture Notes in Networks and Systems","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-75100-5_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T11:55:14Z","timestamp":1619178914000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-75100-5_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030750992","9783030751005"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-75100-5_33","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"24 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto, ON","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 May 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}