{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,2]],"date-time":"2025-10-02T00:15:39Z","timestamp":1759364139838,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032027276","type":"print"},{"value":"9783032027283","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"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\/978-3-032-02728-3_36","type":"book-chapter","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:25:16Z","timestamp":1759278316000},"page":"457-465","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Edge Machine Learning for\u00a0All-Optical Fluorescence Lifetime-Based Sensing with NV Centers"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-9490-4204","authenticated-orcid":false,"given":"Ludwig","family":"Horsthemke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1301-3487","authenticated-orcid":false,"given":"Ann-Sophie","family":"B\u00fclter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1068-0529","authenticated-orcid":false,"given":"Jens","family":"Pogorzelski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2665-1262","authenticated-orcid":false,"given":"Dennis","family":"Stiegek\u00f6tter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6945-0751","authenticated-orcid":false,"given":"Frederik","family":"Hoffmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8006-8256","authenticated-orcid":false,"given":"Jos\u00e9 Luis","family":"\u00c1vila-Jim\u00e9nez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1099-1445","authenticated-orcid":false,"given":"Markus","family":"Gregor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6937-468X","authenticated-orcid":false,"given":"Peter","family":"Gl\u00f6sek\u00f6tter","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"36_CR1","unstructured":"Abadi, M., et al.: TensorFlow: Large-scale machine learning on heterogeneous systems (2015). https:\/\/www.tensorflow.org\/, software available from tensorflow.org"},{"key":"36_CR2","doi-asserted-by":"publisher","unstructured":"David, R., et al.: TensorFlow Lite Micro: Embedded machine learning on TinyML systems (2020). https:\/\/doi.org\/10.48550\/ARXIV.2010.08678","DOI":"10.48550\/ARXIV.2010.08678"},{"key":"36_CR3","doi-asserted-by":"publisher","unstructured":"Derickson, D., Jin, X., Bland, C.C.: The NanoVNA vector network analyzer: this new open-source electronic test and measurement device will change both remote and in-person educational delivery of circuits, electronics, radio frequency and communication laboratory course delivery. In: 2021 ASEE Pacific Southwest Conference - \u201cPushing Past Pandemic Pedagogy: Learning from Disruption\u201d. ASEE Conferences, Virtual (2021). https:\/\/doi.org\/10.18260\/1-2-38253, https:\/\/peer.asee.org\/38253","DOI":"10.18260\/1-2-38253"},{"issue":"1\/3","key":"36_CR4","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1023\/a:1012487302797","volume":"46","author":"I Guyon","year":"2002","unstructured":"Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Mach. Learn. 46(1\/3), 389\u2013422 (2002). https:\/\/doi.org\/10.1023\/a:1012487302797","journal-title":"Mach. Learn."},{"key":"36_CR5","doi-asserted-by":"publisher","unstructured":"Homrighausen, J., et al.: Edge-machine-learning-assisted robust magnetometer based on randomly oriented NV-ensembles in diamond. Sensors 23(3), 1119 (2023). https:\/\/doi.org\/10.3390\/s23031119","DOI":"10.3390\/s23031119"},{"key":"36_CR6","doi-asserted-by":"publisher","unstructured":"Horsthemke, L., et al.: Fluorescence lifetime of NV centers for temperature-insensitive all-optical magnetic field sensing. In: 2024 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). pp. 344\u2013348. IEEE (2024). https:\/\/doi.org\/10.1109\/synasc65383.2024.00064","DOI":"10.1109\/synasc65383.2024.00064"},{"key":"36_CR7","doi-asserted-by":"publisher","unstructured":"Horsthemke, L., et al.: Towards resolving the ambiguity in low-field, all-optical magnetic field sensing with high NV-density diamonds. In: ITISE 2024. ITISE 2024, MDPI (2024). https:\/\/doi.org\/10.3390\/engproc2024068008","DOI":"10.3390\/engproc2024068008"},{"issue":"7","key":"36_CR8","doi-asserted-by":"publisher","first-page":"2093","DOI":"10.3390\/s24072093","volume":"24","author":"L Horsthemke","year":"2024","unstructured":"Horsthemke, L., et al.: Excited-state lifetime of NV centers for all-optical magnetic field sensing. Sensors 24(7), 2093 (2024). https:\/\/doi.org\/10.3390\/s24072093","journal-title":"Sensors"},{"key":"36_CR9","doi-asserted-by":"publisher","unstructured":"Jacob, B., et al.: Quantization and training of neural networks for efficient integer-arithmetic-only inference (2017). https:\/\/doi.org\/10.48550\/ARXIV.1712.05877","DOI":"10.48550\/ARXIV.1712.05877"},{"key":"36_CR10","doi-asserted-by":"publisher","unstructured":"Jensen, K., et al.: Cavity-enhanced room-temperature magnetometry using absorption by nitrogen-vacancy centers in diamond. Phys. Rev. Lett. 112(16), 160802 (2014). https:\/\/doi.org\/10.1103\/physrevlett.112.160802","DOI":"10.1103\/physrevlett.112.160802"},{"key":"36_CR11","doi-asserted-by":"publisher","unstructured":"Lai, L., Suda, N., Chandra, V.: CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs (2018). https:\/\/doi.org\/10.48550\/ARXIV.1801.06601","DOI":"10.48550\/ARXIV.1801.06601"},{"key":"36_CR12","unstructured":"Lakowicz, J.R.: Principles of fluorescence spectroscopy. Springer, New York, NY, third edition, corrected at 4. printing edn. (2010)"},{"key":"36_CR13","doi-asserted-by":"publisher","unstructured":"Staacke, R., et al.: Isotropic scalar quantum sensing of magnetic fields for industrial application. Advanced Quantum Technologies n\/a(n\/a), 2000037 (2020). https:\/\/doi.org\/10.1002\/qute.202000037","DOI":"10.1002\/qute.202000037"},{"key":"36_CR14","doi-asserted-by":"publisher","unstructured":"Wunderlich, R., Staacke, R., Knolle, W., Abel, B., Meijer, J.: Magnetic field and angle-dependent photoluminescence of a fiber-coupled nitrogen vacancy rich diamond. J. Appl. Phys. 130(12), 124901 (2021). https:\/\/doi.org\/10.1063\/5.0059330","DOI":"10.1063\/5.0059330"}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02728-3_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:25:18Z","timestamp":1759278318000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02728-3_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"ISBN":["9783032027276","9783032027283"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02728-3_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]},"assertion":[{"value":"1 October 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that\u00a0are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"IWANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"A Coru\u00f1a","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"16 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwann2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iwann.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}