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Chapter and Conference Paper
Lightweight Traffic Sign Recognition Model Based on Dynamic Feature Extraction
Accurate traffic sign data recognition is crucial for enhancing safety in autonomous driving system. However, recognizing traffic signs from natural scenes is challenging due to factors like dim lighting, occl...
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Article
CNN autoencoders and LSTM-based reduced order model for student dropout prediction
In recent years, Massive Open Online Courses (MOOCs) have become the main online learning method for students all over the world, but their development has been affected by the high dropout rate for a long tim...
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Article
Method for counting labeled neurons in mouse brain regions based on image representation and registration
An important step in brain image analysis is to divide specific brain regions by matching brain slices to standard brain reference atlases, and perform statistical analysis on the labeled neurons in each brain...
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Chapter and Conference Paper
Virtual Display and Interaction System Design of Bingxi Scroll Painting Based on Augmented Reality Technique
The Bingxi scroll painting depicts the grand scene of royal ice activities in Qianlong period of Qing Dynasty. It adopts augment reality technique to synthesis the material background and three-dimensional dyn...
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Chapter and Conference Paper
Research on Adaptive Video Steganography Algorithm for Clustering and Dispersing DCT Coefficient Difference Histogram
Histogram migration is a method of the information hiding, the advantage of traditional data hiding has large amount of data, but there are many problems, such as poor security and embedding rate changes. The ...
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Chapter and Conference Paper
Readmission Prediction with Knowledge Graph Attention and RNN-Based Ordinary Differential Equations
Predicting the readmission risk within 30 days on the Electronic Health Record (EHR) has been proven crucial for predictive analytics in healthcare domain. Deep-learning-based models are recently utilized to a...
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Chapter and Conference Paper
A Generative Steganography Method Based on WGAN-GP
With the development of Generative Adversarial Networks (GAN), GAN-based steganography and steganalysis techniques have attracted much attention from researchers. In this paper, we propose a novel image stegan...
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Chapter and Conference Paper
Impact of Speedometer Forms on Integration Task Performance for Train Driving
Accurate speed control can effectively improve the efficiency of train operation. The advantages and disadvantages of the speed display form directly impact the interaction efficiency and the driver’s correct ...
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Article
The SSRC and the founding movement of area studies in America, 1943–1953
Area studies, as characterized by “complete world coverage” and “interdisciplinary integration”, constitutes a major branch of academic research. As an institutional framework embedded in the American social s...
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Article
Video highlight extraction via content-aware deep transfer
In this paper, we focus on detecting highlights in online videos. Given the explosive growth of online videos, it is becoming increasingly important to single out those highlights for audiences instead of requ...
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Article
Two-dimensional histogram modification based reversible data hiding using motion vector for H.264
Histogram modification (HM) is an efficient algorithm for reversible data hiding into H.264 video, motion vector based methods have been applied to HM. In this paper, we present a special strategy of reversibl...
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Chapter and Conference Paper
FDT-MAC: A New Multi-channel MAC Protocol Based on Fuzzy Decision Tree for Wireless Sensor Network
The current popular multi-channel Medium Access Control (MAC) layer protocol adopts a strategy of separating control and data channels, in order to improve channel utilization and packet forwarding success rat...
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Chapter and Conference Paper
A Bidirectional Recommendation Method Research Based on Feature Transfer Learning
In recommendation systems, data cold start is always an important problem to be solved. In this paper, aiming at problems such as few users, sparse evaluation data and difficulty of model start-up, a new bidir...
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Chapter and Conference Paper
MR-APG: An Improved Model for Swarm Intelligence Movement Coordination
Swarm intelligence based on the bionics have become an emerging research field, and researchers have proposed some kinds of intelligent models, such as ant colony, free group wolves, fish flock, insects group,...
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Chapter and Conference Paper
Prediction for Student Academic Performance Using SMNaive Bayes Model
Predicting students academic performance is very important for students future development. There are a large number of students who can not graduate from colleges on time for various reasons every year. Nowa...
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Chapter and Conference Paper
ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System
With the rapid development of artificial intelligence, governments of different countries have been focusing on building smart cities. To build a smart city is a system construction process which not only requ...
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Chapter and Conference Paper
Video Steganographic Algorithm Based on Intra Prediction Modification for H.264/AVC
To analyze the technique of video steganography, which provides security guarantees for national security and confidential information of government agencies and enterprises, videos may be used to transform s...
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Chapter and Conference Paper
Reversible Data Hiding for Video
Difference expansion (DE) and histogram modification (HM) are efficient ways for reversible data hiding (RDH) into digital video. In most occasions, the reversibility of an algorithm cannot be confirmed until ...
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Article
A hybrid approach of topic model and matrix factorization based on two-step recommendation framework
Recommender systems become increasingly significant in solving the information explosion problem. Two typical kinds of techniques treat the recommendation problem as either a rating prediction or a ranking pre...
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Chapter and Conference Paper
Learning Trend Analysis and Prediction Based on Knowledge Tracing and Regression Analysis
Estimating students’ knowledge is a fundamental and important task for student modeling in intelligent tutoring systems. Since the concept of knowledge tracing was proposed, there have been many studies focusi...
