{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:39:13Z","timestamp":1742913553938,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031840999"},{"type":"electronic","value":"9783031841002"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-84100-2_57","type":"book-chapter","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T23:59:24Z","timestamp":1741391964000},"page":"481-488","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Neural Architecture Search for Optimized TinyML Applications"],"prefix":"10.1007","author":[{"given":"Abbas Kassem","family":"Zein","sequence":"first","affiliation":[]},{"given":"Rand Abou","family":"Diab","sequence":"additional","affiliation":[]},{"given":"Mohamad","family":"Yaacoub","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Ibrahim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,8]]},"reference":[{"key":"57_CR1","doi-asserted-by":"crossref","unstructured":"Sakr F, Berta R, Doyle J, Capello A, Dabbous A, Lazzaroni L, Bellotti F. CBin-NN: An Inference Engine for Binarized Neural Networks. Electronics. 2024; 13(9):1624.","DOI":"10.3390\/electronics13091624"},{"key":"57_CR2","doi-asserted-by":"crossref","unstructured":"X. Luo, D. Liu, S. Huai, H. Kong, H. Chen and W. Liu, \u201cDesigning Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond,\u201d in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 6, pp. 1799-1812, June 2022.","DOI":"10.1109\/TCAD.2021.3100249"},{"key":"57_CR3","doi-asserted-by":"crossref","unstructured":"X. Luo, D. Liu, H. Kong, S. Huai, H. Chen and W. Liu, \u201cLightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms,\u201d in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 6, pp. 1784-1797, June 2023.","DOI":"10.1109\/TCAD.2022.3208187"},{"key":"57_CR4","doi-asserted-by":"crossref","unstructured":"K. T. Chitty-Venkata, Y. Bian, M. Emani, V. Vishwanath and A. K. Somani, \u201cDifferentiable Neural Architecture, Mixed Precision and Accelerator Co-Search,\u201d in IEEE Access, vol. 11, pp. 106670-106687, 2023.","DOI":"10.1109\/ACCESS.2023.3320133"},{"key":"57_CR5","doi-asserted-by":"crossref","unstructured":"Shi, H., You, H., Wang, Z., & Lin, Y. (2023). NASA+: Neural Architecture Search and Acceleration for Multiplication-Reduced Hybrid Networks. IEEE Transactions on Circuits and Systems. I, Regular Papers, 70(6), 2523\u20132536.","DOI":"10.1109\/TCSI.2023.3256700"},{"key":"57_CR6","doi-asserted-by":"crossref","unstructured":"Sekanina, L. (2021). Neural Architecture Search and Hardware Accelerator Co-Search: A Survey. IEEE Access, 9, 151337\u2013151362.","DOI":"10.1109\/ACCESS.2021.3126685"},{"key":"57_CR7","doi-asserted-by":"crossref","unstructured":"H. Younes, A. Ibrahim, M. Rizk and M. Valle, \u201cAlgorithmic Level Approximate Computing for Machine Learning Classifiers,\u201d 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Genoa, Italy, 2019, pp. 113-114.","DOI":"10.1109\/ICECS46596.2019.8964974"},{"key":"57_CR8","doi-asserted-by":"crossref","unstructured":"Lee, J., Rhim, J., Kang, D., & Ha, S. (2022). SNAS: Fast Hardware-Aware Neural Architecture Search Methodology. IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems, 41(11), 4826\u20134836.","DOI":"10.1109\/TCAD.2021.3134843"},{"key":"57_CR9","doi-asserted-by":"crossref","unstructured":"Luo, X., Liu, D., Kong, H., Huai, S., Chen, H., & Liu, W. (2023). SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search. I.E.E.E. Transactions on Computers\/IEEE Transactions on Computers, 72(4), 1081\u20131094.","DOI":"10.1109\/TC.2022.3188175"},{"key":"#cr-split#-57_CR10.1","unstructured":"H. Younes, A. Ibrahim, M. Rizk and M. Valle, \"A Mixed-Precision Binary Neural Network Architecture for Touch Modality Classification,\" SMACD \/ PRIME 2021"},{"key":"#cr-split#-57_CR10.2","unstructured":"International Conference on SMACD and 16th Conference on PRIME, online, 2021, pp. 1-4."},{"key":"57_CR11","doi-asserted-by":"crossref","unstructured":"H. Younes, A. Ibrahim, M. Rizk and M. Valle, \u201cA Shallow Neural Network for Real-Time Embedded Machine Learning for Tensorial Tactile Data Processing,\u201d in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 10, pp. 4232-4244, Oct. 2021.","DOI":"10.1109\/TCSI.2021.3102303"},{"key":"57_CR12","unstructured":"Microsoft NNI Team, \u201cMicrosoft NNI: An open-source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning,\u201d GitHub, https:\/\/github.com\/microsoft\/nni, Accessed May 20, 2024."},{"key":"57_CR13","doi-asserted-by":"crossref","unstructured":"Ozaki, Y., Tanigaki, Y., Watanabe, S., & Onishi, M. (2020). Multiobjective tree-structured parzen estimator for computationally expensive optimization problems.","DOI":"10.1145\/3377930.3389817"},{"key":"57_CR14","doi-asserted-by":"crossref","unstructured":"Al Haj Ali, H., Gianoglio, C., Ibrahim, A., Valle, M. (2023). Resource-Constrained Implementation of Deep Learning Algorithms for Dynamic Touch Modality Classification. Lecture Notes in Networks and Systems, vol 546. Springer, Cham.","DOI":"10.1007\/978-3-031-16281-7_11"}],"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\/978-3-031-84100-2_57","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T23:59:32Z","timestamp":1741391972000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-84100-2_57"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031840999","9783031841002"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-84100-2_57","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 March 2025","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"applepies2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}