Results 81 to 90 of about 6,061 (205)
Research on mimic decision method based on deep learning [PDF]
Due to software and hardware differentiation, the problem of false positives mistakenly identified as network attack behavior caused by inconsistent mimic decision results frequently occurs.Therefore, a mimic decision method based on deep learning was ...
Bing HAO +4 more
core +1 more source
Conservation Biology, Volume 38, Issue 3, June 2024.Abstract Ecosystem state transitions can be ecologically devastating or be a restoration success. State transitions are common within aquatic systems worldwide, especially considering human‐mediated changes to land use and water use. We created a transferable conceptual framework to enable multiscale assessments of state resilience and early warnings ...
John T. Delaney, Danelle M. Larson
wiley +1 more source
Retrospective Analysis and Prediction: Artificial Intelligence and Its Applications in Libraries [PDF]
, 2018 The application of Artificial Intelligence (AI) has brought significant innovation to fundamental science and research in recent years. This paper briefly reviews and analyzes the findings of research and development of AI technologies such as expert ...
Fu, Ping
core +1 more source
Gaoya dianqi, 2022 不停电作业是目前电网中的一种主要检修方式，对其展开有效的风险评估是电网安全运行的重要保障，但作业过程中不同类型影响因素的复杂耦合关系对其风险评估结果的准确性提出了挑战。文中筛选了作业人员健康数据、绝缘数据、线路状态数据为主要输入量，依据行业标准确定了各因素风险系数判据，利用深度学习在提取数据特征方面的灵活性，提出了基于多模态深度学习的不停电作业风险评估算法；基于实测及调研数据建立了各输入量物理模型及训练样本库，并使用该算法对不停电作业风险进行了评估。通过与SVM、ANN等传统算法的对比 ...
张玮亚 +5 more
doaj
Research on multi-modal sentiment feature learning of social media content [PDF]
, 2016 社交媒体已成为现代社会舆论交流和信息传递的主要平台。针对社交媒体的情感分析对于舆论监控、商业产品导向和股市预测等都具有重大应用价值。但社交媒体内容的多模态性（文本、图片等）让传统的单模态情感分析方法面临许多局限，多模态情感分析技术对跨媒体内容的理解与分析具有重大的理论价值。 多模态情感分析区别于单模态方法的关键问题在于，如何综合利用形态各异的多模态情感信息，来获取整体的情感倾向性，同时考虑单个模态本身在情感表达上的性质。针对该问题，利用社交媒体上的多模态内容在情感表达上所具有的关联性、抽象层级性的特点 ...
李凌霄
core
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
物联网学报针对智能反射面（IRS, intelligent reflecting surface）辅助的多输入单输出（MISO, multiple input single-output）无线携能通信（SWIPT, simultaneous wireless information and power transfer）系统，考虑基站最大发射功率、IRS反射相移矩阵的单位膜约束和能量接收器的最小能量约束，以最大化信息传输速率为目标，联合优化了基站处的波束成形向量和智能反射面的反射波束成形向量。为解决非凸优化问题 ...
基于DDPG的智能反射面辅助无线携能通信系统性能优化
doaj +1 more source
Research on Face Detection Algorithm Based on Cascaded Convolutional Neural Networks [PDF]
, 2017 在人脸识别领域中，人脸检测是其中的一个重要环节，2001年Viola和Jones发明了VJ人脸检测算法，该算法的诞生使人脸检测能够得到实际应用，但对于人脸多角度、多光照、多姿态等问题，VJ人脸检测器表现不佳。DPM算法的引入较好解决了复杂情况下的人脸检测问题，但是该算法存在计算量大，前期人工标记成本大等问题。神经网络特别是卷积神经网络的发展和GPU编程的实现给图像处理、音频处理、视频处理等领域注入了新的活力。卷积神经网络（CNN）在人脸检测领域有着无可比拟的优点，比如自学习特征、较好适应复杂情况下人脸 ...
刘伟强
core
Research on Environmental Sound Classification Based on Deep Learning [PDF]
, 2017 城市环境声音的自动分类，已经成为城市信息化进程中的一个关键点，是指通过计算机自动化的分类手段，针对不同的城市环境声音，如自然环境声音、家庭环境声音、道路环境声音等等，在具备背景噪音的情况下，来识别和分类出周围环境的状况。虽然目前环境声音分类领域的应用潜力巨大，但是效果却还不是特别理想，相对于语音识别和音乐检索这样的热点，环境声音的研究还有很多方面的工作可以进一步深化。 本文主要针对环境声音的分类问题，进行了相关的研究。在围绕分类的模型选择和有标记数据集匮乏两大问题上，分别提出了对应的解决方案 ...
冯冰
core
Verification Technical Scheme for Deep Learning Algorithm Based on Interactive Zero Knowledge Protocol [PDF]
With the further development of nuclear disarmament and nuclear safeguards policies, future nuclear arms control agreements may limit all tactical nuclear warheads in the arsenal, as well as deployed and planned strategic nuclear warheads. Although there
LYU Yanfeng, LYU Xuesheng, HUANG Shenghui, LIANG Qinglei
core +1 more source