كتاب إلكتروني

KS-Autoformer: An Autoformer-Based SOC Prediction Framework for Electric Vehicles

التفاصيل البيبلوغرافية
العنوان: KS-Autoformer: An Autoformer-Based SOC Prediction Framework for Electric Vehicles
المؤلفون: Wang, YaoyidiAff20, Chen, NianshengAff20, Rao, LeiAff20, Yang, DingyuAff21, Fan, GuangyuAff20, Cheng, SonglinAff20, Song, XiaoyongAff20
المساهمون: Akan, Ozgur, Editorial Board MemberAff1, Bellavista, Paolo, Editorial Board MemberAff2, Cao, Jiannong, Editorial Board MemberAff3, Coulson, Geoffrey, Editorial Board MemberAff4, Dressler, Falko, Editorial Board MemberAff5, Ferrari, Domenico, Editorial Board MemberAff6, Gerla, Mario, Editorial Board MemberAff7, Kobayashi, Hisashi, Editorial Board MemberAff8, Palazzo, Sergio, Editorial Board MemberAff9, Sahni, Sartaj, Editorial Board MemberAff10, Shen, Xuemin, Editorial Board MemberAff11, Stan, Mircea, Editorial Board MemberAff12, Jia, Xiaohua, Editorial Board MemberAff13, Zomaya, Albert Y., Editorial Board MemberAff14, Zaslavsky, Arkady, editorAff15, Ning, Zhaolong, editorAff16, Kalogeraki, Vana, editorAff17, Georgakopoulos, Dimitrios, editorAff18, Chrysanthis, Panos K., editorAff19
المصدر: Mobile and Ubiquitous Systems: Computing, Networking and Services : 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I. 593:297-312
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9783031639883
9783031639890
DOI:10.1007/978-3-031-63989-0_15