文献
J-GLOBAL ID:202002215435666035
整理番号:20A0745634
人工知能を用いた超広帯域(UWB)に基づく早期乳癌検出【JST・京大機械翻訳】
Ultra Wide Band (UWB) Based Early Breast Cancer Detection Using Artificial Intelligence
著者 (9件):
Bari Bifta Sama
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Khatun Sabira
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Ghazali Kamarul Hawari
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Fakir Md. Moslemuddin
(CARIFF, Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Samsudin Wan Nur Azhani W.
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Jusof Mohd Falfazli Mat
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Rashid Mamunur
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Islam Minarul
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
,
Ibrahim Mohd Zamri
(Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Malaysia)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
632
ページ:
505-515
発行年:
2020年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)