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Chapter and Conference Paper
Enhancing Open-Set Object Detection via Uncertainty-Boxes Identification
Open-set object detection is a challenging task in computer vision, which aims to detect known object categories while simultaneously identifying unknown objects. Inspired by how humans naturally distinguish u...
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Chapter and Conference Paper
Design and Practice of Virtual Experiments for Internet of Things Class
Regarding the ability requirements for students majoring in Internet of Things (IOT) engineering, we propose a virtual experiment scheme for IOT system class, which is based on Arduino platform. The virtual ex...
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Chapter and Conference Paper
Construction and Evaluation of Chinese Word Segmentation Datasets in Malay Archipelago
In recent years, there has been numerous mature research on Chinese word segmentation (CWS). However, the existing research mainly focuses on mainland Mandarin word segmentation, and the research on CWS of oth...
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Chapter and Conference Paper
FedHF: A High Fairness Federated Learning Algorithm Based on Deconfliction in Heterogeneous Networks
In large-scale machine learning, federated learning (FL) is considered as a promising paradigm to address the problem of data privacy breach. Previous works have focused on improving fairness in terms of fair ...
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Chapter and Conference Paper
Research on Influencing Factors of Combined Transportation System Based on Analytic Hierarchy Process
efficiency of an urban combined transportation travel system and solve the problem of urban residents’ “last mile” travel, this paper used the analytic hierarchy process to study the factors that af...
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Chapter and Conference Paper
A Hybrid Framework for Class-Imbalanced Classification
Data classification is a commonly used data processing method in the fields of networks and distributed systems, and it has attracted extensive attention in recent years. Nevertheless, the existing classificat...
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Chapter and Conference Paper
Pre-trained Language Models for Tagalog with Multi-source Data
Pre-trained language models (PLMs) for Tagalog can be categorized into two kinds: monolingual models and multilingual models. However, existing monolingual models are only trained in small-scale Wikipedia corp...
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Chapter and Conference Paper
K-Anonymous Privacy Preserving Scheme Based on Bilinear Pairings over Medical Data
Recent years have witnessed the advent of technologies such as the Internet of Things, cloud computing, and big data. Also, the analysis and research of data have attracted more and more attention from researc...
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Chapter and Conference Paper
Building Trustful Crowdsensing Service on the Edge
Edge computing enables the data to be processed in the edge of networks in order to decrease the latency of crowdsensing services. However, due to the distributed environment and vulnerability of edges, it is ...
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Chapter and Conference Paper
Exploration of Human Activities Using Sensing Data via Deep Embedded Determination
Clustering analysis is one of promising techniques of uncovering different types of human activities from a set of ubiquitous sensing data in an unsupervised manner. Previous work proposes deep clustering to l...
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Chapter and Conference Paper
Degrading Detection Performance of Wireless IDSs Through Poisoning Feature Selection
Machine learning algorithms have been increasingly adopted in Intrusion Detection Systems (IDSs) and achieved demonstrable results, but few studies have considered intrinsic vulnerabilities of these algorithms...
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Chapter and Conference Paper
An Adaptive MAC Protocol for Wireless Rechargeable Sensor Networks
In the existing medium access control (MAC) protocols of rechargeable sensor networks, the maximum charging threshold of sensor nodes generally set to a fixed value based on nodes battery capacity. It leads to...
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Chapter and Conference Paper
An Extension to ns-3 for Simulating Mobile Charging with Wireless Energy Transfer
Many theoretical derivation of the energy model requires extensive simulation in Internet of Things (IoT). Network Simulator 3 (ns-3) provides a simulation platform for various experimental studies including e...
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Chapter and Conference Paper
Privacy-Preserving Public Auditing Together with Efficient User Revocation in the Mobile Environments
Cloud platforms can provide elastic infrastructure for mobile users. Therefore, publicly auditing the integrity of shared data outsourced on the cloud is very important since the cloud may be untrusted. Howeve...
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Chapter and Conference Paper
Throughput Prediction-Based Rate Adaptation for Real-Time Video Streaming over UAVs Networks
Real-time video streaming is extensively used in UAVs networks for battlefield surveillance, disaster relief, etc. The available throughput of the multi-hop networks varies a lot with the movement of UAVs. To ...
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Chapter and Conference Paper
Empirical Study on Spatial and Temporal Features for Vehicular Wireless Communications
Traditional networking technologies based on static topology analysis are not sufficient to the dynamic Vehicular Ad hoc Network. Understanding the network dynamics caused by vehicle mobility is very important...
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Chapter and Conference Paper
Schedule Algorithms for File Transmission in Vehicular Ad Hoc Networks
The development of vehicular ad-hoc networks has lead to several new services, such as instant messages, multi-media videos and large data transmissions. These applications have altered the pattern of data tra...
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Chapter and Conference Paper
Roadside Infrastructure Placement for Information Dissemination in Urban ITS Based on a Probabilistic Model
Information dissemination is an important application in VANETs for traffic safety and efficiency. In urban area, roadside infrastructure nodes can be deployed for information dissemination. However, it is ine...
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Chapter and Conference Paper
Local Information Storage Protocol for Urban Vehicular Networks
Local information dissemination is a potential application of VANETs. By cooperative communication among vehicles, the information could be stored in a certain size of region for some time. However, it is diff...
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Chapter and Conference Paper
ContactSim: An Efficient Realistic Trace Driven Contact Simulator for Vehicular Opportunistic Networks
Opportunistic networking is an innovative data delivery solution, which leverages the contact opportunities between mobile terminals to exchange messages. The contact events are highly relevant to human behavi...