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Chapter and Conference Paper
Learned Pseudo-Random Number Generator Based on Generative Adversarial Networks
Pseudorandom number generators (PRNGs) are fundamental components of modern cryptography and information security. Due to the inherent complexity and unpredictability of neural networks, they have become an at...
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Chapter and Conference Paper
Tiny-YOLOv7: Tiny Object Detection Model for Drone Imagery
With the rapid development of drones, tiny object detection in drone-captured scenarios has become a challenge task. However, the altitude of the drone changes while flying lead to the scale of the object chan...
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Chapter and Conference Paper
User Adaptive Language Learning Chatbots with a Curriculum
Along with the development of systems for natural language understanding and generation, dialog systems have been widely adopted for language learning and practicing. Many current educational dialog systems p...
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Chapter and Conference Paper
Univariate Time Series Forecasting via Interactive Learning
For time series forecasting tasks, it is necessary to capture the temporal dependencies from observed variables. Although many deep learning models have gained good performance, they still lack an effective mo...
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Chapter and Conference Paper
Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family
ChatGPT is a powerful large language model (LLM) that covers knowledge resources such as Wikipedia and supports natural language question answering using its own knowledge. Therefore, there is growing interest...
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Chapter and Conference Paper
GRU-Attention Interpretable Knowledge Tracking Model with Forgetting Law for Intelligent Education System
The advent of intelligent education systems and widespread distance learning have revolutionized the educational landscape. Extracting meaningful insights from this wealth of information is crucial for improvi...
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Chapter and Conference Paper
Quantifying Occupant Behavior Uncertainty in Spatio-Temporal Visual Comfort Assessment of National Fitness Halls: A Machine Learning-Based Co-simulation Framework
Occupant behavior has been recognized as the main factor influencing visual comfort gaps between simulated and actual conditions. However, existing daylight and glare simulation methods mostly fail to deal wit...
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Chapter and Conference Paper
A Novel Dual-Modal Biometric Recognition Method Based on Weighted Joint Group Sparse Representation Classification
Multi-modal biometric recognition technology is an effective method to improve the accuracy and reliability of identity recognition. However, there are some problems (such as feature space incompatibility) wit...
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Chapter and Conference Paper
A Finger Bimodal Fusion Algorithm Based on Improved Densenet
Compared with single-mode biometric recognition, multimodal biometric recognition has been widely used because of its high security and high accuracy. Among them, finger based multimodal biometric recognition ...
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Chapter and Conference Paper
Medical Image Segmentation Using Transformer
For the past few years, the U-Net structure shows strong performance in the field of medical image segmentation. However, due to the inherent locality of convolution operations, U-shaped structures are often l...
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Chapter and Conference Paper
Self-paced Safe Co-training for Regression
In semi-supervised learning, co-training is successfully in augmenting the training data with predicted pseudo-labels. With two independently trained regressors, a co-trainer iteratively exchanges their select...
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Chapter and Conference Paper
Decentralized Predictive Enterprise Resource Planning Framework on Private Blockchain Networks Using Neural Networks
Theoretically, cross-department predictive modeling can improve the operational efficiency of an enterprise, particularly on enterprise resource planning. For example, a model that predicts the volume of purch...
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Chapter and Conference Paper
CLMB: Deep Contrastive Learning for Robust Metagenomic Binning
The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial functional roles. To achieve that, we...
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Chapter and Conference Paper
Research on Real-Time Monitoring Method of Communication Network Blocking Based on Cloud Computing
Aiming at the problems that the traditional method has long response time to communication network congestion monitoring and the detection effect is not ideal, a real-time monitoring method based on cloud comp...
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Chapter and Conference Paper
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction
During infancy, the human brain develops rapidly in terms of structure, function and cognition. The tight connection between cognitive skills and brain morphology motivates us to focus on individual level cogn...
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Chapter and Conference Paper
Research on Chinese Word Segmentation Based on Conditional Random Fields
Word segmentation is the first step in Chinese natural language processing. The accuracy of segmentation has substantial impacts on subsequent tasks such as part-of-speech tagging, semantic analysis, etc. This...
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Chapter and Conference Paper
A CNN-Based Method for Depression Detecting Form Audio
Depression, a major mental illness, has widely affected lives all over the world. Being depressed not only affects patients’ mood, but also has a negative impact on patients’ physical and mental health. It may...
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Chapter and Conference Paper
Chinese Word Sense Disambiguation Based on Classification
Word sense disambiguation (WSD) is a well-known task in the field of natural language processing. It attempts to determine a meaning of a word that has a couple of senses. This paper studies the Chinese word s...
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Chapter and Conference Paper
Personal Name Disambiguation for Chinese Documents in Online Medium
Disambiguating various people that share the same name is a critical issue for analyzing contents in online medium. This paper develops a framework for dealing with personal names in Chinese dataset. Web pages...
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Chapter and Conference Paper
Research on the Authorship of Dream of the Red Chamber Based on Link Prediction
Dream of the Red Chamber (DRC), written in Qing dynasty, is a prestigious classical novel in Chinese literature. There exists a disputation over the authorship of DRC for the last 40 chapters. This research ma...