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DEEP: 作品数：3075被引量：6878H指数：29; 导出分析报告; 相关领域：天文地球更多>>; 相关作者：崔志明赵朋朋方巍孟小峰鲜学丰更多>>; 相关机构：苏州大学中国科学院华中师范大学哈尔滨工业大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金国家高技术研究发展计划更多>>

Clustered Reinforcement Learning: 《Frontiers of Computer Science》2025年第4期43-57,共15页Xiao MA Shen-Yi ZHAO Zhao-Heng YIN Wu-Jun LI; supported by the National Natural Science Foundation of China(Gtant No.62192783);Fundamental Research Funds for the Central Universities(No.020214380108).; Exploration strategy design is a challenging problem in reinforcement learning(RL),especially when the environment contains a large state space or sparse rewards.During exploration,the agent tries to discover unexplor...; 关键词：deep reinforcement learning EXPLORATION count-based method CLUSTERING K-MEANS

Behaviour-diverse automatic penetration testing:a coverage-based deep reinforcement learning approach: 《Frontiers of Computer Science》2025年第3期15-24,共10页Yizhou YANG Longde CHEN Sha LIU Lanning WANG Haohuan FU Xin LIU Zuoning CHEN; supported by te Key Research Project of Zhejiang Lab(No.2021PB0AV02)。; Reinforcement Learning(RL)is gaining importance in automating penetration testing as it reduces human effort and increases reliability.Nonetheless,given the rapidly expanding scale of modern network infrastructure,the...; 关键词：network security penetration testing reinforcement learning artificial intelligence

DDT-Net:Deep Detail Tracking Network for Image Tampering Detection: 《Computers, Materials & Continua》2025年第5期3451-3469,共19页Jim Wong Zhaoxiang Zang; supported by National Natural Science Foundation of China(No.61502274).; In the field of image forensics,image tampering detection is a critical and challenging task.Traditional methods based on manually designed feature extraction typically focus on a specific type of tampering operation,...; 关键词：Image forensics image tampering detection image manipulation detection noise flow Bayar

Retrofitting Design of a Deep Drilling Rig Mud Pump Load Balancing System: 《Energy Engineering》2025年第5期1669-1696,共28页Danijel Pavkovic Pietro Kristovic Mihael Cipek Dragutin Lisjak; In deep drilling applications,such as those for geothermal energy,there are many challenges,such as those related to efficient operation of the drilling fluid(mud)pumping system.Legacy drilling rigs often use paired,p...; 关键词：Deep drilling mud pump electrical load balancing direct current motor excitation control armature current mirroring field tests

Study on the Seepage Characteristics of Deep Tight Reservoirs Considering the Effects of Creep: 《Energy Engineering》2025年第5期1735-1754,共20页Yongfu Liu Haitao Zhao Xingliang Deng Baozhu Guan Jing Li Chengqiang Yang Guipeng Huang; supported by the National Natural Science Foundation of China(Grant Nos.42472195 and 42272153);the Research Fund of PetroChina Tarim Oilfield Company(Grant No.671023060003);Technology Projects of China National Petroleum Corporation(Grant No.2023ZZ16YJ02).; The seepage characteristics of shale reservoirs are influenced not only by multi-field coupling effects such as stress field,temperature field,and seepage field but also exhibit evident creep characteristics during oi...; 关键词：Tight reservoir mechanical parameter creep model multi-field coupling seepage characteristics

DMF: A Deep Multimodal Fusion-Based Network Traffic Classification Model: 《Computers, Materials & Continua》2025年第5期2267-2285,共19页Xiangbin Wang Qingjun Yuan Weina Niu Qianwei Meng Yongjuan Wang Chunxiang Gu; supported by the National Key Research and Development Program of China No.2023YFB2705000.; With the rise of encrypted traffic,traditional network analysis methods have become less effective,leading to a shift towards deep learning-based approaches.Among these,multimodal learning-based classification methods...; 关键词：Deep fusion intrusion detection multimodal learning network traffic classification

Obstacle Avoidance Path Planning for Delta Robots Based on Digital Twin and Deep Reinforcement Learning: 《Computers, Materials & Continua》2025年第5期1987-2001,共15页Hongxiao Wang Hongshen Liu Dingsen Zhang Ziye Zhang Yonghui Yue Jie Chen; supported in part by the National Natural Science Foundation of China under Grants 62303098 and 62173073;in part by China Postdoctoral Science Foundation under Grant 2022M720679;in part by the Central University Basic Research Fund of China under Grant N2304021;in part by the Liaoning Provincial Science and Technology Plan Project-Technology Innovation Guidance of the Science and Technology Department under Grant 2023JH1/10400011.; Despite its immense potential,the application of digital twin technology in real industrial scenarios still faces numerous challenges.This study focuses on industrial assembly lines in sectors such as microelectronics...; 关键词：Digital twin deep reinforcement learning delta robot obstacle path planning

A Transformer Condition Assessment Method Based on Combined Deep Neural Network: 《CSEE Journal of Power and Energy Systems》2025年第2期861-870,共10页Hongru Zhang Fuqiang Ren Jingjing Yang Zhaoyang Kang Qingquan Li Hongshun Liu; supported by the Science and Technology Project from Headquarters of State Grid Corporation of China(No.52060020002P)。; Dissolved gas analysis (DGA) occupies an extremely important position in transformer condition assessment, and many conventional methods have been proposed based on dissolved gas in oil analysis. In this paper, a comb...; 关键词：Combined deep neural network(CDNN) data normalization dissolved gas analysis(DGA) transformer condition assessment

Eliminating the solvent-induced distortions of the NIR-Ⅱ fluorescent probe spectroscopy via deuterated solvents: 《Science China Chemistry》2025年第4期1322-1325,共4页Jinjin Wang Yifan Wang Siwei Zhang Jinhui Jiang Fulong Ma Xinmeng Chen Parvej Alam Zheng Zhao Ben Zhong Tang; supported by the National Key Research and Development Program of China(2023YFB3810001);the National Natural Science Foundation of China(52333007,52273197,52250410355);the Shenzhen Key Laboratory of Functional Aggregate Materials(ZDSYS20211021111400001);the Science Technology Innovation Commission of Shenzhen Municipality(GJHZ20210705141810031,KQTD20210811090142053,JCYJ20220818103007014,LGKCYLWS20-23017);the Innovation and Technology Commission(ITC-CNERC14-SCo1);the Science and Technology Program of Guangzhou,China(2023A04J0069).; Fluorescent probes emitting in the near-infrared zoneⅡ(NIR-Ⅱ)spectral region(1000–1700 nm)have garnered significant attention due to their unique advantages in bioimaging and diagnostics;including deep tissue penet...; 关键词：deep tissue penetration deuterated solvents diagnostics deep tissue penetrationsuperior BIOIMAGING biological tissues solvent induced distortions fluorescent probes

Deep transfer learning for three-dimensional aerodynamic pressure prediction under data scarcity: 《Theoretical & Applied Mechanics Letters》2025年第2期131-140,共10页Hao Zhang Yang Shen Wei Huang Zan Xie Yao-Bin Niu; supported by the Natural Science Foundation of Hunan Province of China(Grant No.2021JJ10045).; Aerodynamic evaluation under multi-condition is indispensable for the design of aircraft,and the requirement for mass data still means a high cost.To address this problem,we propose a novel point-cloud multi-condition...; 关键词：Aerodynamic prediction Deep transfer learning Point cloud Multi-condition scenarios Small-scale dataset

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