文献
J-GLOBAL ID:202202231719185479
整理番号:22A0914278
XGBoostリグレッサを用いた挙動予測によるTHzメタ表面ベース屈折率センサの符号化とチューニング【JST・京大機械翻訳】
Encoding and Tuning of THz Metasurface-Based Refractive Index Sensor With Behavior Prediction Using XGBoost Regressor
著者 (7件):
Patel Shobhit K.
(Department of Computer Engineering, Marwadi University, Rajkot, Gujarat, India)
,
Surve Jaymit
(Department of Electrical Engineering, Marwadi University, Rajkot, Gujarat, India)
,
Katkar Vijay
(Department of Computer Engineering, Marwadi University, Rajkot, Gujarat, India)
,
Parmar Juveriya
(Department of Electronics and Communication Engineering, Marwadi University, Rajkot, Gujarat, India)
,
Al-Zahrani Fahad Ahmed
(Computer Engineering Department, Umm Al-Qura University, Mecca, Saudi Arabia)
,
Ahmed Kawsar
(Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada)
,
Bui Francis Minhthang
(Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada)
資料名:
IEEE Access
(IEEE Access)
巻:
10
ページ:
24797-24814
発行年:
2022年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)