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The analysis of data stored in multiple sites has become more popular, raising new concerns about the security of data storage and communication. Federated learning, which does not require centralizin...
2023年3月24日上午,IEEE Fellow、美国奥本大学Shiwen Mao教授应邀来南京邮电大学通信与信息工程学院作“Deep Learning for WiFi-based Indoor Fingerprinting”专题报告。本次专题报告详细地介绍了室内定位的相关内容,为南京邮电大学通信与信息工程学院师生的相关科研工作开拓了新思路。本次报告由通信与信息工程学院周亮院长主持,学院逾三百名...
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate. The prediction of flood incoming is a key factor to ensure c...
In the aim of natural interaction with machines, a framework must be developed to include the adaptability humans portray to understand gestures from context, from a single observation or from multipl...
In this paper, we present a novel learning-aided energy management scheme (LEM) for multihop energy har-vesting networks. Different from prior works on this problem,our algorithm explicitly incorporat...
This paper presents an approach to creating a polyhedral model of building roof from LiDAR point clouds using clustering techniques. A building point cloud is first separated into planar and breakline...
Fundamental characteristics of successive lerarning by Test Feature Classifier(TFC), which is non-parametric and effective with small data, are examined. In the learning, a new set of training o...
This paper describes the introduction, implementation and evaluation of a Problem Based Learning component in the Geodetic Surveying syllabus of the fourth / final year of the honours degree program...
According to the theory of multiple intelligences (MI) propounded by Gardner (1983, 1999a, 1999b), each individual has a multitude of intelligences that are quite independent of each other and each in...
Theory has focused on two leading models of social learning on networks: Bayesian and DeGroot rules of thumb learning. These models can yield greatly divergent behavior; individuals employing rules ...
Collaborative learning portals help teachers and students attain educational objectives (Ursula et al., 1997). They also reduce repeated requests for the same information (Forbes-Pitt, 2002). An eff...
Previous research has shown that external representation of information facilitates cognitive processing by requiring less recall and reducing the need for working memory. The assumption is that all t...
In recent years the advent of social networking has exploded across the Internet. Online communities such as LinkedIn.com and Facebook.com have captured the attention of millions. These environments a...
The unsupervised learning of spectro-temporal patterns within speech signals is of interest in a broad range of applications. Where patterns are non-negative and convolutive in nature, relevant learni...

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