Problem-based cybersecurity lab with knowledge graph as guidance

Y Deng, Z Zeng, K Jha, D Huang - Journal of Artificial Intelligence and …, 2021 - par.nsf.gov
Lecture-based teaching paired with laboratory-based exercises is most commonly used in
cybersecurity instruction. However, it focuses more on theories and models but fails to …

Technologies supporting artificial intelligence and robotics application development

Y Chen, G De Luca - Journal of Artificial Intelligence and …, 2021 - ojs.istp-press.com
Artificial intelligence (AI) and robotics have gone through three generations of development,
from Turing test, logic theory machine, to expert system and self-driving car. In the third …

Multimodal feature fusion based on object relation for video captioning

Z Yan, Y Chen, J Song, J Zhu - CAAI Transactions on …, 2023 - Wiley Online Library
Video captioning aims at automatically generating a natural language caption to describe
the content of a video. However, most of the existing methods in the video captioning task …

A BiLSTM cardinality estimator in complex database systems based on attention mechanism

Q Zhou, G Yang, H Song, J Guo… - CAAI Transactions …, 2022 - Wiley Online Library
An excellent cardinality estimation can make the query optimiser produce a good execution
plan. Although there are some studies on cardinality estimation, the prediction results of …

Facial Gestures-Based Recommender System for Evaluating Online Classes

A Agarwal, A Das - Recommender Systems, 2023 - taylorfrancis.com
Online learning has become one of the most essential learning techniques, but it requires
supervisors to keep learners engaged and on task on a regular basis. Some learners may …

Design of Vehicle Engineering Teaching System Based on VR Technology

X Sun, X Wang, X Wang - 2021 5th Asian Conference on …, 2021 - ieeexplore.ieee.org
In order to effectively combine the theoretical knowledge and practical ability of students
majored in vehicle engineering, this research designed the vehicle engineering teaching …

Dance Emotion Characteristic Parameters Based on Deep Learning Model

H Liu - Applied Mathematics and Nonlinear Sciences, 2023 - sciendo.com
In this paper, the emotions of dancers are identified in combination with the integrated deep-
learning model. Firstly, four initial value features with important emotional states are …

A Spark-Based Open Source Framework for Large-Scale Parallel Processing of Rich Text Documents

Q Chen, Y Chen, S Wu, Z Zhang - 2021 8th International …, 2021 - ieeexplore.ieee.org
The large amount of unstructured educational data is an important data source of
educational big data analysis. However, there is a lack of efficient and simple distributed …

Expression Recognition Based on Multi-Scale Adaptive Parallel Integration Network

X Zeng, Y Xin, Q Xie, Q Wang - 2022 6th Asian Conference on …, 2022 - ieeexplore.ieee.org
Facial expressions are the most direct outward expression of an individual's emotion. Unlike
other pattern recognition problems, the feature differences between facial expressions are …