182 Result(s)
within
Ying**g Zhang
Computer Science
Computer Communication Networks
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Article
Retraction Note: Periodic multimedia spectrum sensing method based on high-order anti-jamming mechanism in cognitive wireless networks
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Article
JoCaD: a joint training method by combining consistency and diversity
Noisy labels due to mistakes in manual labeling or data collecting are challenging for the expansion of deep neural network applications. Current robust network learning methods such as Decoupling, Co-teaching...
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Chapter and Conference Paper
Efficient Maximum Relative Fair Clique Computation in Attributed Graphs
Cohesive subgraph mining is a fundamental problem in attributed graph analysis. However, the existing models on attributed graphs ignore the fairness of attributes. In this paper, we propose a novel model, cal...
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Chapter and Conference Paper
Discovering Densest Subgraph over Heterogeneous Information Networks
Densest Subgraph Discovery (DSD) is a fundamental and challenging problem in the field of graph mining in recent years. The DSD aims to determine, given a graph G, the subgraph with the maximum density according ...
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Chapter and Conference Paper
Balanced Hop-Constrained Path Enumeration in Signed Directed Graphs
Hop-constrained path enumeration, which aims to output all the paths from two distinct vertices within the given hops, is one of the fundamental tasks in graph analysis. Previous works about this problem mainl...
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Chapter and Conference Paper
DP-Loc: A Differential Privacy-Based Indoor Localization Scheme with Bilateral Privacy Protection
Among indoor localization services, WiFi fingerprint technology has attracted much attention because of its wide coverage area and high positioning accuracy. However, concerns arise regarding the vulnerability...
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Chapter and Conference Paper
C2FC: Coarse-to-fine Contour-Based Method for Interactive Medical Image Segmentation
Existing contour-based methods for interactive segmentation of medical images have achieved great success. However, these methods neglect the large shape error between the initial contour and the ground truth....
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Chapter and Conference Paper
A Checklist for the Usability Evaluation of Artificial Intelligence (AI) mHealth Applications Graphical User Interface
The download rate of AI mobile health (mHealth) apps has increased rapidly, and there are many usability evaluation studies based on mobile apps, but few studies have been conducted on the usability of AI mHea...
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Article
Reversible data hiding in enhanced images with anti-detection capability
Reversible data hiding (RDH) technique has been widely used for content authentication. However, most conventional RDH schemes generally concentrates on the rate-and-distortion performance (namely high capacit...
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Chapter and Conference Paper
An Android Malware Detection Method Based on Optimized Feature Extraction Using Graph Convolutional Network
With the development of the mobile Internet, mobile devices have been extensively promoted and popularized. Android, as the current popular mobile intelligent operating system, has encountered problems such as...
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Article
An algorithm of non-negative matrix factorization with the nearest neighbor after per-treatments
Clustering is a hot topic in machine learning. For high dimension data, nonnegative matrix factorization (NMF) is a crucial technology in clustering. However, NMF has some disadvantages. First, NMF clusters da...
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Article
Construction of high-dimensional cyclic symmetric chaotic map with one-dimensional chaotic map and its security application
Classical one-dimensional chaotic map has many ideal characteristics which is quite suitable for many different kinds of scientific fields, especially cryptography. In this paper, we propose an idea of constru...
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Chapter and Conference Paper
Research on Folk Belief Space in Fengzhou Ancient Town Based on GIS
Folk belief space is the concrete embodiment of folk belief in the settlement space, and it is also an important activity space of folk belief. For a long time, the study of folk belief is mainly based on qual...
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Chapter and Conference Paper
Based on Data-Driven Research on the Emotional Experience of Electric Vehicle Users
Under the global goal of "dual carbon", rich and diversified new energy vehicle products continue to meet market demand, and new energy vehicles are increasingly recognized by consumers, but the current evalua...
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Chapter and Conference Paper
Research on Protection of Village Cultural Heritage Based on Residents’ Perception and Experience—A Case Study of Fengzhou Ancient Town, Nan’an City, Fujian Province
In recent years, the protection of traditional village cultural heritage and sustainable tourism development have gradually received high attention from the state, society, and enterprises, while the residents...
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Chapter and Conference Paper
Research on Demand Evaluation of Live Broadcast Interface of Agricultural Product Based on Factor Analysis and CRITIC Method
To solve the problems that the existing live broadcast interface of agricultural product (LBIAP) can’t meet the diverse needs of users, the demand elements of LBIAP were analyzed from several dimensions, so as...
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Chapter and Conference Paper
FBG Tactile Sensor Integrated on Bronchoscope for Force and Contact Position Sensing
During the transbronchial lung biopsy (TBLB), the bronchoscope may easily collide with the airway, which can cause damage. In order to improve the safety of the surgery, this paper puts forward a tactile senso...
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Chapter and Conference Paper
Illuminance Affecting Factors Analysis for Classroom Environments
The reasonable placement of lamps in the classroom will play a vital role in the classroom lighting environment of the classroom, in which the classroom lights and blackboard lights, as the two most important ...
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Chapter and Conference Paper
Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course
Debugging is a challenging task for novice programmers in computer science courses and calls for specific investigation and support. Although the debugging process has been explored with qualitative methods an...
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Chapter and Conference Paper
An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
Object detection with high accuracy and fast inference speed based on camera sensors is important for autonomous driving. This paper develops a lightweight object detection network based on YOLOv5s which is on...
