{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T22:36:14Z","timestamp":1761172574963,"version":"build-2065373602"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T00:00:00Z","timestamp":1757376000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T00:00:00Z","timestamp":1757376000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,9]]},"DOI":"10.1109\/etfa65518.2025.11205761","type":"proceedings-article","created":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T17:07:47Z","timestamp":1761066467000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Kolmogorov\u2013Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles"],"prefix":"10.1109","author":[{"given":"Thommas","family":"Flores","sequence":"first","affiliation":[{"name":"Federal University of Rio Grande do Norte,Natal,Brazil"}]},{"given":"Morsinaldo","family":"Medeiros","sequence":"additional","affiliation":[{"name":"Federal University of Rio Grande do Norte,Natal,Brazil"}]},{"given":"Marianne","family":"Silva","sequence":"additional","affiliation":[{"name":"Federal University of Alagoas,Penedo,Brazil"}]},{"given":"Daniel G.","family":"Costa","sequence":"additional","affiliation":[{"name":"SYSTEC-ARISE, Faculty of Engineering, University of Porto,Porto,Portugal"}]},{"given":"Ivanovitch","family":"Silva","sequence":"additional","affiliation":[{"name":"Federal University of Rio Grande do Norte,Natal,Brazil"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-323-99545-0.00020-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2024.121136"},{"issue":"3","key":"ref3","article-title":"Adverse human health effects of climate change: an update","volume":"36","author":"Filippini","year":"2024","journal-title":"Annali di Igiene, Medicina Preventiva e di Comunit\u00e0"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtrangeo.2025.104120"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2022.09.023"},{"key":"ref6","first-page":"233018","article-title":"Advanced battery management systems: Challenges and opportunities for electric vehicles","volume":"571","author":"Zhang","year":"2023","journal-title":"Journal of Power Sources"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e29402"},{"key":"ref8","first-page":"4202","article-title":"State-of-charge estimation techniques for lithium-ion batteries: A comprehensive review","volume":"9","author":"Li","year":"2023","journal-title":"Energy Reports"},{"issue":"2","key":"ref9","first-page":"1012","article-title":"Evaluation of soc estimation methods under dynamic load conditions","volume":"9","author":"He","year":"2023","journal-title":"IEEE Transactions on Transportation Electrification"},{"key":"ref10","first-page":"113246","article-title":"Machine learning-based battery state estimation for electric vehicles: A survey","volume":"177","author":"Yang","year":"2023","journal-title":"Renewable and Sustainable Energy Reviews"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3591356"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2024.101153"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3365349"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SIoT60039.2023.10390169"},{"article-title":"A comprehensive survey on kolmogorov arnold networks (kan)","year":"2024","author":"Ji","key":"ref15"},{"key":"ref16","article-title":"Kan: Kolmogorov\u2013arnold networks: A review","author":"Dhiman","year":"2024","journal-title":"Retrieved from"},{"key":"ref17","first-page":"232341","article-title":"Reduced-order ekf for li-ion battery soc estimation under aging conditions","volume":"555","author":"Zhang","year":"2023","journal-title":"Journal of Power Sources"},{"issue":"8","key":"ref18","first-page":"8578","article-title":"Fractional-order equivalent circuit model for improved battery soc estimation","volume":"69","author":"Chen","year":"2022","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"ref19","first-page":"120678","article-title":"Transformer-based multimodal learning for battery soc estimation","volume":"334","author":"Liu","year":"2023","journal-title":"Applied Energy"},{"issue":"7","key":"ref20","first-page":"579","article-title":"Multilayer perceptron and neural networks","volume":"8","author":"Popescu","year":"2009","journal-title":"WSEAS Transactions on Circuits and Systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref22","first-page":"953","article-title":"On the representation of continuous functions of several variables by superposition of continuous functions of one variable and addition","volume":"114","author":"Kolmogorov","year":"1957","journal-title":"Dokl. Akad. Nauk SSSR"},{"issue":"4","key":"ref23","first-page":"679","article-title":"On functions of three variables","volume":"114","author":"Arnold","year":"1957","journal-title":"Dokl. Akad. Nauk SSSR"},{"article-title":"Kolmogorov\u2013arnold networks","year":"2024","author":"Fan","key":"ref24"},{"key":"ref25","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"Glorot","year":"2010"},{"article-title":"Battery and heating data in real driving cycles","year":"2020","author":"Steinstraeter","key":"ref26"},{"year":"2025","key":"ref27","article-title":"Kan vs mlp: Tinyml - github repository"}],"event":{"name":"2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)","start":{"date-parts":[[2025,9,9]]},"location":"Porto, Portugal","end":{"date-parts":[[2025,9,12]]}},"container-title":["2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11205475\/11205526\/11205761.pdf?arnumber=11205761","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T05:17:55Z","timestamp":1761110275000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11205761\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,9]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/etfa65518.2025.11205761","relation":{},"subject":[],"published":{"date-parts":[[2025,9,9]]}}}