Results 51 to 60 of about 380 (97)
Review of Deep Learning Applications in Unmanned Aerial Vehicle Remote Sensing Images of Grass Plants [PDF]
The invasion of grass species competes for resources necessary for the growth of crops, significantly affecting crop yield and quality. Grasses such as the Artemisia genus release allergenic pollen, causing allergic reactions and impacting human health ...
LI Shaobo, WANG Xiaoqiang, GUO Libiao, HONG Ying, WANG Zhiguo
core +1 more source
Timing data visualization: tactical intent recognition and portable framework [PDF]
By transforming time series into images, a robust and transferable tactical intent recognition framework was proposed, which integrated curve filtering technology and the EfficientNetV2 image recognition network.
LI Lemin +4 more
core +1 more source
作为语音领域一个重要的研究方向,语音合成致力于将文本转化为语音。随着深度学习技术的快速发展,语音合成的目的早已不仅仅是合成一段“能听懂”的音频这么简单,情感的加入往往能使语音变得更加具有表现力。基于此,情感语音合成在语音中加入不同的情感并对情感进行调控,以生成灵活且准确的情感语音。从情感语音合成中的几个关键科学问题出发,分别对近几年来基于情感迁移、情感强度控制和情绪混合的发展进行了总结分析,并介绍了情感语音合成的相关数据集和评价指标,最后对情感语音合成进行了展望。
施昊翔, 张旭龙, 王健宗, 程宁, 肖京
doaj +1 more source
Radar Intelligent Processing Technology and Application for Weak Target [PDF]
Weak target signal processing is the cornerstone and prerequisite for radar to achieve excellent detection performance. In complex practical applications, due to strong clutter interference, weak target signals, unclear image features, and difficult ...
Jian GUAN +7 more
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Automated Static Warning Identification via Path-based Semantic Representation
Despite their ability to aid developers in detecting potential defects early in the software development life cycle, static analysis tools often suffer from precision issues (i.e., high false positive rates of reported alarms).
Jin, Zhi +3 more
core
针对当前柴油机故障诊断领域深度学习模型参数规模大、训练时间长,以及工程应用中带标签样本不足的问题,提出一种基于轻量化网络和循环微调训练的柴油机故障诊断迁移学习方法。首先,该方法采用轻量化MobileNet‑V2作为主干网络,在权重迁移学习的基础上,提出一种部分权重循环初始化微调的方法,解决了变工况条件下的小样本诊断问题;其次,开展不同程度进气滤清器堵塞和气门间隙异常的柴油机故障台架实验;最后,采用所提方法和现有方法,对变负荷条件下的柴油机进行故障诊断对比分析。结果表明:所提方法在参数规模、计算量 ...
doaj +1 more source
输变电设备是电网电安全的基石,对输变电设备进行监测并对其状态进行评估可提早发现其潜在隐患,避免事故扩大造成不必要的损失。新一代人工智能技术在输变电设备状态评估中的应用不断普及,对新一代人工智能关键技术及其在输变电设备状态评估中的应用现状进行整理、归纳及分析,并对未来发展趋势予以展望,有助于输变电设备状态评估领域的科研工作开展。首先,梳理新一代人工智能基本技术及高级应用,包括数据增强技术、图像检测及目标识别技术、自然语言处理技术、迁移学习技术以及强化学习技术等;然后 ...
谢庆 +5 more
doaj
A transfer reinforcement learning-based approach for cross-domain charging station recommendation in the Internet of vehicles [PDF]
Deep reinforcement learning has been widely applied in charging station recommendations in the internet of vehicles, but training separate neural networks for each region are often required by traditional methods, leading to increased computational load ...
CAO Yue +4 more
core +1 more source
【目的】智慧水务作为融合大数据、物联网、智能控制等技术的跨学科领域,已成为保障供排水安全稳定运行、提升水务管理智能化水平、实现降本增效的核心支撑。随着人工智能(AI)技术的快速发展及其在水务工程中的广泛应用,培养非计算机专业学生的智慧水务实践能力已成为高校环境类学科实践教学改革的重要议题。然而,当前智慧水务方向跨学科本科生的实践培养仍面临严峻挑战,普遍存在学生计算与编程等知识储备不足、AI技术实践课程内容与水务专业需求不匹配、教学资源与试验平台相对匮乏等问题 ...
Wang Jiaying +4 more
doaj +1 more source
Objective To explore the teaching effect of 6E teaching model in the course of Emergency and Critical Care Nursing. Methods From February to June 2024, using convenience sampling method, nursing college students of grade 2022 were selected as research ...
ZHAO Beibei (赵蓓蓓) +3 more
doaj +1 more source

