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Using Deep Learning Models to Detect Fake News about COVID-19
The proliferation of mobile networked devices has made it easier and faster than ever for people to obtain and share information. However, this occasionally results in the propagation of erroneous information, which may be difficult to distinguish from ...
Personalized Individual Semantics Learning to Support a Large-Scale Linguistic Consensus Process
When making decisions, individuals often express their preferences linguistically. The computing with words methodology is a key basis for supporting linguistic decision making, and the words in that methodology may mean different things to different ...
Stance-level Sarcasm Detection with BERT and Stance-centered Graph Attention Networks
Computational Linguistics (CL) associated with the Internet of Multimedia Things (IoMT)-enabled multimedia computing applications brings several research challenges, such as real-time speech understanding, deep fake video detection, emotion recognition, ...
VoiceTalk: Multimedia-IoT Applications for Mixing Mandarin, Taiwanese, and English
The voice-based Internet of Multimedia Things (IoMT) is the combination of IoT interfaces and protocols with associated voice-related information, which enables advanced applications based on human-to-device interactions. An example is Automatic Speech ...
Taming Internet of Things Application Development with the IoTvar Middleware
In the last years, Internet of Things (IoT) platforms have been designed to provide IoT applications with various services such as device discovery, context management, and data filtering. The lack of standardization has led each IoT platform to propose ...
A Highly Stable Fusion Positioning System of Smartphone under NLoS Acoustic Indoor Environment
Fusion positioning technology requires stable and effective positioning data, but this is often challenging to achieve in complex Non-Line-of-Sight (NLoS) environments. This paper proposes a fusion positioning method that can achieve stable and no hop ...
Concept Drift in Software Defect Prediction: A Method for Detecting and Handling the Drift
Software Defect Prediction (SDP) is crucial towards software quality assurance in software engineering. SDP analyzes the software metrics data for timely prediction of defect prone software modules. Prediction process is automated by constructing defect ...
Dynamic Personalized POI Sequence Recommendation with Fine-Grained Contexts
The Point Of Interest (POI) sequence recommendation is the key task in itinerary and travel route planning. Existing works usually consider the temporal and spatial factors in travel planning. However, the external environment, such as the weather, is ...
Securing Scalable Real-time Multiparty Communications with Hybrid Information-centric Networking
In this article, we consider security aspects of online meeting applications based on protocols such as WebRTC that leverage the Information-centric Networking (ICN) architecture to make the system fundamentally more scalable. If the scalability ...
MWPoW+: A Strong Consensus Protocol for Intra-Shard Consensus in Blockchain Sharding
Blockchain sharding splits a blockchain into several shards where consensus is reached at the shard level rather than over the entire blockchain. It improves transaction throughput and reduces the computational resources required of individual nodes. But ...
IRGA: An Intelligent Implicit Real-time Gait Authentication System in Heterogeneous Complex Scenarios
Gait authentication as a technique that can continuously provide identity recognition on mobile devices for security has been investigated by academics in the community for decades. However, most of the existing work achieves insufficient generalization ...