文献
J-GLOBAL ID:202202232085622884
整理番号:22A0920373
ハイブリッドモデル予測制御を用いた逐次意思決定ポリシーによる妊娠体重増加を調節するための行動介入の最適化【JST・京大機械翻訳】
Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control
著者 (10件):
Guo Penghong
(School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287-6106, USA)
,
Rivera Daniel E.
(School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287-6106, USA)
,
Dong Yuwen
(School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287-6106, USA)
,
Deshpande Sunil
(School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ 85287-6106, USA)
,
Savage Jennifer S.
(Department of Nutritional Sciences and Center for Childhood Obesity Research, Pennsylvania State University, University Park, PA, USA)
,
Hohman Emily E.
(Department of Nutritional Sciences and Center for Childhood Obesity Research, Pennsylvania State University, University Park, PA, USA)
,
Pauley Abigail M.
(Exercise Psychology Laboratory, Department of Kinesiology, Pennsylvania State University, University Park, PA, USA)
,
Leonard Krista S.
(Exercise Psychology Laboratory, Department of Kinesiology, Pennsylvania State University, University Park, PA, USA)
,
Downs Danielle Symons
(Exercise Psychology Laboratory, Department of Kinesiology, Pennsylvania State University, University Park, PA, USA)
,
Downs Danielle Symons
(Department of Obstetrics and Gynecology, Pennsylvania State University College of Medicine, Hershey, PA, USA)
資料名:
Computers & Chemical Engineering
(Computers & Chemical Engineering)
巻:
160
ページ:
Null
発行年:
2022年
JST資料番号:
H0199C
ISSN:
0098-1354
資料種別:
逐次刊行物 (A)
記事区分:
短報
発行国:
オランダ (NLD)
言語:
英語 (EN)