在 中文 中使用 数据融合 的示例及其翻译为 英语
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数据融合系统.
开展多源数据融合和大气再分析试验。
Carry out multi-source data fusion and atmospheric reanalysis experiments.这可以通过数据融合过程来实现。
They are able to achieve this through data integration.订阅关于数据融合及其应用的评论:.
Related resources on data integration and application 年获得IEEEDataFusionContest（数据融合大赛）冠军。
He was the winner of the IEEE GRSS 2014 Data Fusion Contest.Combinations with other parts of speech
我很高兴看到语音和数据融合并进入云计算。
I am so happy to see voice and data converging and moving into the cloud.HPC与大数据融合在欺诈检测中的应用.
HPC and big data convergence in fraud detection.我们还需要一些高级技术，如跨域数据融合。
进行多类型数据融合.
Multiple types of data integration.传感器数据融合：提升增强游戏、导航和虚拟现实用户体验的关键组件.
Sensor data fusion: A key component for enhancing gaming, navigation and virtual reality experiences.进一步开发侧视辅助系统：数据融合、人工智能和互联技术将使系统更智能主动，从而避免在车辆转弯时发生事故.
Further development to Side Vision Assist system: Data fusion, AI and interconnection allow for an intelligent and active system that helps prevent accidents while turning.和工业大数据融合，更好地预测判断市场需求，分析用户需求，使价值链最大化。
And industrial big data integration, better predict the market demand, analyze user needs, the value chain to maximize.随着数据融合和更新变得更加复杂，自动化数据收集、处理和跟踪也变得更重要。
As data blending and updating become more complex, it becomes more important to automate 零售商可以使用集成的传感器平台、数据融合以及人员和产品交互分析来实现这一目标。
Retailers can accomplish this using integrated sensor platforms, data fusion, and people and product interaction analytics.其一，在感知层面上，该方案主要是采用雷达+摄像头数据融合提供冗余方案，确保道路特征识别更准确。
Firstly, on the perceptual level,the solution mainly uses radar+ camera data integration to provide a redundancy solution and ensure more accurate road feature recognition.多元数据融合本身就是一个难点，在机器学习当中也是一个相对比较新兴的学科和研究方向。
Multivariate data fusion is a difficult, and it is also a relatively new discipline and research direction in machine learning.与几年前我们刚开始接触Hadoop时相比，数据融合会来得更重要。
Data blending will be more important compared to a few years ago when we were just getting started with Hadoop.数据融合系统将摄像头与雷达组合起来，形成高水平安全系统，实现从部分到全自动化功能。
Data Fusion Systems combine camera and radar for high level safety systems and partially to fully automated functions.他目前的研究兴趣包括机器学习、符号数据融合、计算伦理学、计算机道德和数字人文。
His current research interests include machine learning,symbolic data fusion, computational ethics, computer ethics and digital humanities.本书涵盖了传感器和多个传感器系统，包括传感器网络和多传感器数据融合。
This book covers sensors and multiple sensor systems,including sensor networks and multi-sensor data fusion.随着近年来从卫星、机载或地面成像系统收集到数据量的增加，图像和数据融合技术越来越重要。
With increasing amounts of 两头已经成为,似乎我们两个数据融合成一个脸,其中两个是迷路了。
The two heads now became one, and two figures blended in one form appeared, where both were lost.其实，关键是将这些数据融合在一起，以制定基于风险和业务的决策。
As such, the key will be to fuse that data for making risk- and business-based decisions.几分钟后他颤抖着举起了两个半小时的磁带:最近拒绝了数据融合与多数报告。
Within minutes he was shakily lifting out two half-hour tapes:recent rejected data not fused with majority reports.改进了数据管理和互操作性，数据融合，自动分析支持和可视化技术对于实现可管理的认知负载和增强决策至关重要。
Improved 这些转变整合了更多的高科技系统，包括超声波传感器、雷达、摄相机、激光扫描仪、数据融合和多形性数据处理软件等。
These transformations increase the integration of high-tech systems within the vehicle, including ultrasonic sensors, radars, cameras,laser scanners, data fusion and polymorphous 类似地，中国人民解放军(PLA)正在开发一种算法，实现数据融合，增强情报分析能力，从而支持指挥决策。
Similarly, the Chinese People's Liberation Army(PLA)is developing algorithms that enable data fusion, enhance intelligence analysis, and support command decision-making.数据融合的优点.
Advantages of Data Integration.数据融合有助于解决.
Integrity Data can help.石油和天然气行业也在利用工业物联网进行数据融合。
The oil andgas industries are also utilizing IIoT for data convergence.
