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218 results found in all.

index	Title
211	A time control entry guidance method for hypersonic glide vehicles based on deep reinforcement learning Author(s):Zhenyu LIU, Gang LEI, Yong XIAN, Leliang REN, Shaopeng LI, Daqiao ZHANG Clicked:746 Download:1551 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI:
212	SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities^# Author(s):Xiaocheng LIU, Meilong LE, Yupu LIU, Minghua HU Clicked:863 Download:637 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.12 P.2397-2420 DOI:10.1631/FITEE.2500534
213	Data-driven neural surrogates for ReaxFF molecular dynamics simulations in engine-relevant combustion chemistry Author(s):Yuchao YAN¹, Qiao HUANG², Tianfang XIE³, Jinlong LIU¹ Clicked:787 Download:926 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI:
214	Spectrum sensing method based on a multi-scale feature fusion network Author(s):Honghui XIANG, Kejun LEI, Kaiqing ZHOU, Wenjing TUO, Hongbin LIU Clicked:635 Download:478 Cited:0 <Full Text> <PPT> 316 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.12 P.2638-2653 DOI:10.1631/FITEE.2500297
215	Hierarchical learning method for array flow field prediction integrated with deep neural network Author(s):Shanxun SUN¹, Zijiang XU¹, Zhuoheng WANG¹, Shuangshuang CUI², Ting HE¹, Yang CAI¹ Clicked:412 Download:206 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI:
216	An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition Author(s):Tongjing SUN, Haoran XU, Shishuo REN, Denghui ZHANG Clicked:385 Download:290 Cited:0 <Full Text> <PPT> 131 Journal of Zhejiang University Science 2026 Vol.27 No.2 P.1-12 DOI:10.1631/ENG.ITEE.2025.0177
217	AI-driven interpretation and prediction of embedded printability based on rheology Author(s):Xianhao Zhou Clicked:158 Download:156 Cited:0 <Full Text> Bio-Design and Manufacturing 2026 Vol.9 No.1 P.63 - 79 DOI:10.1631/bdm.2500456
218	Physics-informed deep learning for data-efficient and robust PV power forecasting Author(s):Chang HUANG¹, Xuanbin HUANG¹, Jinmin GUO², Zhuo CAO¹, Ting HE¹,Wentao SHANG¹ Clicked:274 Download:270 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI:

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