{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T05:11:04Z","timestamp":1771477864775,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032171733","type":"print"},{"value":"9783032171740","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-17174-0_51","type":"book-chapter","created":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T04:37:55Z","timestamp":1771475875000},"page":"355-360","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hardware Aware NAS for\u00a0Optimized Embedded Texture Classification in\u00a0Multisensory Glove"],"prefix":"10.1007","author":[{"given":"Hiba Al","family":"Youssef","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamad","family":"Yaacoub","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamad","family":"Raad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maurizio","family":"Valle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Ibrahim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,20]]},"reference":[{"key":"51_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-007-0579-1","volume-title":"Robotic Tactile Sensing: Technologies and System","author":"RS Dahiya","year":"2013","unstructured":"Dahiya, R.S., et al.: Robotic Tactile Sensing: Technologies and System, vol. 1. Springer, Heidelberg (2013)"},{"key":"51_CR2","doi-asserted-by":"crossref","unstructured":"Khalifeh, R.: Hardness and texture recognition based on pvdf sensors and embedded machine learning: a case study on hannes prosthetic hand. In: IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1\u20135. IEEE (2025)","DOI":"10.1109\/ISCAS56072.2025.11043586"},{"issue":"12","key":"51_CR3","doi-asserted-by":"publisher","first-page":"2295","DOI":"10.1109\/JPROC.2017.2761740","volume":"105","author":"V Sze","year":"2017","unstructured":"Sze, V., et al.: Efficient processing of deep neural networks: a tutorial and survey. Proc. IEEE 105(12), 2295\u20132329 (2017)","journal-title":"Proc. IEEE"},{"key":"51_CR4","doi-asserted-by":"crossref","unstructured":"Gastaldo, P., et al.: Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems. Future Gener. Comput. Syst. 164, 107574 (2025)","DOI":"10.1016\/j.future.2024.107574"},{"key":"51_CR5","unstructured":"Tan, M., et\u00a0al.: Efficientnet: rethinking model scaling for convolutional neural networks. In: International Conference on Machine Learning, pp. 6105\u20136114. PMLR (2019)"},{"key":"51_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LSENS.2024.3387056","volume":"8","author":"AM Garavagno","year":"2024","unstructured":"Garavagno, A.M., et al.: An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms. IEEE Sensors Lett. 8, 1\u20134 (2024)","journal-title":"IEEE Sensors Lett."},{"key":"51_CR7","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1002\/(SICI)1097-4571(198607)37:4<215::AID-ASI6>3.0.CO;2-I","volume":"37","author":"C Fox","year":"1986","unstructured":"Fox, C.: Future generation information systems. J. Am. Soc. Inf. Sci. 37, 215\u2013219 (1986)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Liberis, E., et\u00a0al.: $$\\mu $$nas: constrained neural architecture search for microcontrollers. In: Proceedings of the 1st Workshop on Machine Learning and Systems, pp. 70\u201379 (2021)","DOI":"10.1145\/3437984.3458836"},{"key":"51_CR9","doi-asserted-by":"crossref","unstructured":"Yaacoub, M., et\u00a0al.: Wearable multisensory glove for shape, size, and stiffness recognition based on off-the-shelf components. IEEE Sensors Lett. (2025)","DOI":"10.1109\/LSENS.2025.3548264"},{"key":"51_CR10","doi-asserted-by":"publisher","first-page":"23406","DOI":"10.1109\/ACCESS.2024.3365349","volume":"12","author":"L Capogrosso","year":"2024","unstructured":"Capogrosso, L., et al.: A machine learning-oriented survey on tiny machine learning. IEEE Access 12, 23406\u201323426 (2024)","journal-title":"IEEE Access"},{"key":"51_CR11","unstructured":"Lin, J., et\u00a0al.: Mcunet: tiny deep learning on iot devices. Adv. Neural Inf. Process. Syst. (2020)"},{"key":"51_CR12","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.future.2023.11.003","volume":"152","author":"AM Garavagno","year":"2024","unstructured":"Garavagno, A.M., et al.: Colabnas: obtaining lightweight task-specific convolutional neural networks following occam\u2019s razor. Future Gener. Comput. Syst. 152, 152\u2013159 (2024)","journal-title":"Future Gener. Comput. Syst."},{"key":"51_CR13","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.future.2023.06.002","volume":"148","author":"Y Amin","year":"2023","unstructured":"Amin, Y., et al.: Embedded real-time objects\u2019 hardness classification for robotic grippers. Future Gener. Comput. Syst. 148, 211\u2013224 (2023)","journal-title":"Future Gener. Comput. Syst."},{"key":"51_CR14","doi-asserted-by":"crossref","unstructured":"Yaacoub, M., et\u00a0al.: Multisensory wearable glove for object recognition based embedded machine learning. In: 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS), pp. 1\u20134. IEEE (2024)","DOI":"10.1109\/ICECS61496.2024.10848876"}],"container-title":["Lecture Notes in Electrical Engineering","Applications in Electronics Pervading Industry, Environment and Society"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-17174-0_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T04:37:57Z","timestamp":1771475877000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-17174-0_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032171733","9783032171740"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-17174-0_51","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"value":"1876-1100","type":"print"},{"value":"1876-1119","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"20 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ApplePies","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Applications in Electronics Pervading Industry, Environment and Society","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Turin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"applepies2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/applepies.unige.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}