博士
Doctor graduate
吉林大学
Gender:Male Business Address:长春市南关区人民大街5988号吉林大学南岭校区机械学院
邮编 : 6369c7b79d793bbb50befe3fd504ef661156e8e5d62182c19389886722430de13269acb32634228aa4d8ff8d42526b090b8ce31d1f1edc6ae0504f7fad6e3e95be8c099848d74cfdfaf29c8a70be408bd61c69c532a759ca9baca1da249bd9fdda820df05d3306ffb85b14f28487caff88403a8a988840b4ebb3ab4a8a9a69dd
通讯地址 : 8030f3424f0a26a504ddcbc4903429f85565ac9bb5d4e22f8d9844b190c42b3bdf0cef47c0262c7fbf54174e4fd07c14684aa1a979a0030df4db8958e6d864ae5cf890e07d4ea42059afe0b2d16eb50e3a3af4de3c5bc628a128091d9a650f7b222a5348045a478712d6f75f1c1dc97774cb9f5b2dcd2dcbefe5bab1240cfef2
手机 : ac4792442b2c90129627bc469df4ba5a6fa78800d7f67b9d29e60a488c564e5c19b5f209bf544b7358461b7d378aa46256f5a50f964442e562625af82695a08a840ed6bdbb77d414cd4fd87eefbcd9b3a3b42a3c82f64fd9cf682879a639e6d5765de5e90986bdfa1a53a5bc42f23b207ca20e5063efbe5915fe66943a9a2d48
邮箱 : 884f3b61c99e9d0328f003b6c4240cb29f1df0c01f7903ee499e37b327ff0eb2fed4df582dafbfaac30affe79cbecb07e8d637baa2373aa3526f43be6ecea1f9efa44e4360a9b748ed7a53bcb60875c3443f123e7fb3a4bfc9f8ed9c02d5c75591b3f1cedaa045c36e288525fdb3a45ca410f89bcea662506f037110e8019f29
招生 : 4fa839098fbcc573e7cf40431e5b9f02d578b19b899364f7e91a4d301e567238e262adceee3a65b969e77b4d0998440dd718abe0a4e7279b1b97eec8dfa0002d42a488ac8f73e3ce6c413e5db4e8a6915e64b803778ea72917a6327e14916886c7b00c24597a373984077c48a69e896cc6feb6567a2272a95f43db0180d1eacf
学生就业 : 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
Document Code:419 Journal:Drones Included Journals : SCI Volume:8 Issue:9 Translation or Not:no
Pre One:Rotating machinery fault diagnosis based on parameter-optimized variational mode decomposition
Next One:Hybrid-driven autonomous excavator trajectory generation combining empirical driver skills and optimization
