Results 31 to 40 of about 4,328 (167)
Active defense technology against intelligent jammer [PDF]
In the complex electromagnetic countermeasure environment, the intelligent development of jammer has caused a serious threat to wireless communication, while the traditional anti-jamming methods often passively adjusted the working mode or parameters ...
Hao HAN +6 more
core +1 more source
ABSTRACT Against the backdrop of global clean energy transition and surging demand for lithium resources, lithium extraction from salt lakes presents unprecedented development opportunities. Nanofiltration (NF) membrane technology, recognized for its efficiency, energy savings, and environmental benefits, demonstrates significant application potential ...
Wen‐Feng Li +5 more
wiley +1 more source
Research progress of causal inference in reinforcement learning framework(强化学习框架中因果推断研究进展)
Causal reasoning has been extensively studied in all fields of science. In recent decades, there have been a number of innovations in the development and implementation of methods aimed at determining causality.
刘华玲(LIU Hualing) +2 more
doaj +1 more source
以机器人为代表的自主智能体系统在工业、服务业等众多领域具有广泛的应用前景和重要的应用价值,但现有自主智能体系统在运动灵巧性、感知信息的完备性、复杂任务和环境的适应性等方面都面临巨大的挑战,难以在开放环境下像人一样灵巧、精准地完成各种复杂操作。而随着以深度学习、深度强化学习为代表的人工智能技术的成功,以操作技能学习为核心的理论研究成为突破自主智能体精准灵巧操作的重要方向,在汲取、融汇联结主义和符号主义的思想精华后构建的操作技能学习框架有望取代传统的示教编程、手工编程模式,以自主学习 ...
王硕
doaj +1 more source
Research on Stochastic Resonance Based on RLGA and its Application to Underwater Acoustic Signal Detection [PDF]
我国在水下通信领域方面正在持续地投入研究,其中一个方面是通信中信号的检测。信号经过水声信道后往往都会被来自船舶、海洋生物或者人为的大量噪声和海面折射反射、频率选择性衰弱引起的干扰淹没,变为微弱信号。而水声信号的检测技术不论在理论钻研还是实际工程甚至国防建设中都具有重要的意义和应用价值。因此,研究微弱信号的检测方法对水声通信的进步和发展很有必要。 一些传统的信号检测方法如匹配滤波、相干检测、时频分析等都采用抑制噪声的方法,往往都是在抑制噪声的同时,在频率结构或者时域幅值上也不同程度地损害了有用信号 ...
季舒瑶
core
Research on Decision-Making at Intersection Without Traffic Lights Based on Deep Reinforcement Learning [PDF]
Left-turn intersections without signal lights are among the most dangerous scenes in autonomous driving, and achieving efficient and safe left-turn decision-making is highly challenging in autonomous driving.
FU Mingjian, GUO Fuqiang
core +1 more source
Scheduling framework based on reinforcement learning in online-offline colocated cloud environment [PDF]
Some reinforcement learning-based scheduling algorithms for cloud computing platforms barely considered one scenario or ignored the resource constraints of jobs and treated all machines as the same type, which caused low resource utilization or ...
Guanchen GUO +6 more
core +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests worldwide are increasingly impacted by drought due to climate change, prompting plants to adapt through dehydration tolerance (DT) and avoidance (DA), two distinct physiological strategies.
Xingyun Liang +11 more
wiley +1 more source
PBL教学法结合标准化病例教学模式在儿科临床实习教学中的应用效果研究
儿科临床实习教学是《儿科学》整个教学过程中的重要环节,是完成教学知识、能力、情感目标的重要阶段,是培养学生独立临床诊疗思维和增强医患沟通能力的重要途径。但是,由于儿科患者群体及疾病的特殊性,导致儿科临床实习常缺少典型病例及临床实践机会,带教老师多以传统的灌输式、观摩式教学为主,已实施的教学改革也多缺少标准统一化示教病例,并且少有结合学生互动教学模式,导致造成儿科临床实习课程教学目标达成度不高。
张波, 梁建民
doaj
Attainment Pairing Effects on Cognitive Conflict in Technology‐enhanced EFL Cooperative Tasks
ABSTRACT This study examines how attainment pairing (high‐high versus high‐low versus low‐low attainment) impacts English as a Foreign Language (EFL) learner engagement during technology‐enhanced cooperative writing tasks. Seventy‐eight Chinese university learners formed 39 dyads (13 pairs per group) via Tencent Meeting.
Ying Liu, Allen Thurston
wiley +1 more source

