Haibin Lv
Biographic Data
| ID | 9560329 |
|---|---|
| NAME | Haibin Lv |
| GIVEN NAMES | Haibin |
| FAMILY NAME | Lv |
| SIGNATURE | LV H |
| AFFILIATIONS | National Bureau of Statistics of China |
| ORCID | 0000-0003-1059-4765 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Fake News in Virtual Community, Virtual Society, and Metaverse
In the trend of the accelerated progression of communication network technology, the emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other technologies not only makes data access and sharing easier but also leads to the proliferation of fake news (FN). To effectively monitor and identify FN in VC, VS, and metaverse, and to create a safer virtual space, this work takes FN in VC, VS, and metaverse as objects. First, …
Ai in e-learning
The AI-enabled intelligent learning system (AEILS) is able to provide personalised and intelligent tutoring and is more capable of meeting individuals’ need. Nevertheless, limited studies focused on the effect of AI-specific factors on user behaviour. To fill this research gap, we identified the AEILS-specific affordances (i.e. interactivity, personalisation, competition, convenience) and explored their effect on user engagement and foreign langu…
Cognitive Computing for Brain–Computer Interface-Based Computational Social Digital Twins Systems
To accurately and effectively analyze electroencephalogram (EEG) with high complexity, large amount of data, and strong uncertainty, brain–computer interface (BCI) cognitive computing and its signal analysis algorithms are studied based on the digital twins (DTs) cognitive computing platform. To avoid the influence of noise on EEG analysis results, it is necessary to use filtering and defalsification methods to process EEG. Four methods, includin…
No prominent works on this page.
Cognitive Computing for Brain–Computer Interface-Based Computational Social Digital Twins Systems
To accurately and effectively analyze electroencephalogram (EEG) with high complexity, large amount of data, and strong uncertainty, brain–computer interface (BCI) cognitive computing and its signal analysis algorithms are studied based on the digital twins (DTs) cognitive computing platform. To avoid the influence of noise on EEG analysis results, it is necessary to use filtering and defalsification methods to process EEG. Four methods, includin…
Fake News in Virtual Community, Virtual Society, and Metaverse
In the trend of the accelerated progression of communication network technology, the emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other technologies not only makes data access and sharing easier but also leads to the proliferation of fake news (FN). To effectively monitor and identify FN in VC, VS, and metaverse, and to create a safer virtual space, this work takes FN in VC, VS, and metaverse as objects. First, …
Ai in e-learning
The AI-enabled intelligent learning system (AEILS) is able to provide personalised and intelligent tutoring and is more capable of meeting individuals’ need. Nevertheless, limited studies focused on the effect of AI-specific factors on user behaviour. To fill this research gap, we identified the AEILS-specific affordances (i.e. interactivity, personalisation, competition, convenience) and explored their effect on user engagement and foreign langu…
Computer Science (3 works) · World Wide Web (2 works) · Advanced Malware Detection Techniques (1 work) · Advanced Memory and Neural Computing (1 work) · Advanced Technologies and Applied Computing (1 work) · Affect (linguistics) (1 work) · Affordance (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Brain–computer interface (1 work)