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您的检索式：作者名="Wanbing He"
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| 1 | Machine learning in nuclear physics at low and intermediate energies显示文摘Machine learning(ML)is becoming a new paradigm for scientific research in various research fields due to its exciting and powerful capability of modeling tools used for big-data processing tasks.In this review,we first briefly introduce the different methodologies used in ML algorithms and techniques.As a snapshot of many applications by ML,some selected applications are presented,especially for low-and intermediate-energy nuclear physics,which include topics on theoretical applications in nuclear structure,nuclear reactions,properties of nuclear matter,and experimental applications in event identification/reconstruction,complex system control,and firmware performance.Finally,we present a summary and outlook on the possible directions of ML use in low-intermediate energy nuclear physics and possible improvements in ML algorithms. | Wanbing He Qingfeng Li Yugang Ma Zhongming Niu Junchen Pei Yingxun Zhang | 2023 | Science China(Physics,Mechanics & Astronomy)2023，66，8： | 3 |
| 2 | Kidney function change after transcatheter aortic valve replacement in patients with diabetes and/or hypertension显示文摘Aortic stenosis(AS)is a progressive heart valve disease occurring predominantly in older patients.According to a survey in a western country,the prevalence of AS is nearly 6.4%in patients over 75 years old(Carabello and Paulus,2009).Transcatheter aortic valve replacement(TAVR)is an alternative method for AS patients.Previous studies have described how up to 66%of TAVR patients have concomitant baseline kidney dysfunction(Ferro et al.,2015;Gargiulo et al.,2015).The majority of patients can benefit from the TAVR procedure with the recovery of kidney function. | Jiaqi FAN Changjie YU Kaida REN Wanbing LIN Stella NG Zexin CHEN Xinping LIN Lihan WANG Qifeng ZHU Yuxin HE Jubo JIANG Xianbao LIU Jian'an WANG | 2021 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2021，22，3： | 1 |
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