164 Result(s)
within
Artificial Intelligence
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Article
OMGD-StarGAN: improvements to boost StarGAN v2 performance
A good image editing model should learn to map the relationships between styles from different domains, cater to the high quality and diversity of the generated images, and be highly scalable across different ...
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Chapter and Conference Paper
An Improved Prototypical Network for Endoscopic Grading of Intestinal Metaplasia
Intestinal metaplasia (IM) is confirmed to be the commonest symptom of early gastric cancer. IM grading by endoscopic images is essential to reduce the risk and mortality of gastric cancer. However, expensive ...
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Chapter and Conference Paper
DSQA-LLM: Domain-Specific Intelligent Question Answering Based on Large Language Model
Question Answering (QA) is crucial for humans to access vast knowledge bases, but there is a lack of attention towards representing raw, unstructured questions and answers in specific fields. Additionally, the...
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Article
Open AccessGroup-Fusion One-Dimensional Convolutional Neural Network for Ballistic Target High-Resolution Range Profile Recognition with Layer-Wise Auxiliary Classifiers
Ballistic missile defense systems require accurate target recognition technology. Effective feature extraction is crucial for this purpose. The deep convolutional neural network (CNN) has proven to be an effec...
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Article
A New Visual Front-end Combining KLT with Descriptor Matching for Visual-inertial Odometry
Currently, feature-based visual-inertial odometry (VIO) predominantly employs descriptor-matching or Kanade-Lucas-Tomasi (KLT)-based methods for feature tracking. However, these methods are prone to short trac...
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Article
Open AccessA Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System
With the application of mobile communication technology in the automotive industry, intelligent connected vehicles equipped with communication and sensing devices have been rapidly promoted. The road and traff...
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Article
Miss-gradient boosting regression tree: a novel approach to imputing water treatment data
Complete data on wastewater quality are essential for managing and monitoring wastewater treatment processes. Most management and monitoring methods involve the use of voluminous training data for imputation, ...
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Article
Cross-subject aesthetic preference recognition of Chinese dance posture using EEG
Due to the differences in knowledge, experience, background, and social influence, people have subjective characteristics in the process of dance aesthetic cognition. To explore the neural mechanism of the hum...
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Article
Open AccessMeasuring cognitive load of digital interface combining event-related potential and BubbleView
Helmet mounted display systems (HMDs) are high-performance display devices for modern aircraft. We propose a novel method combining event-related potentials (ERPs) and BubbleView to measure cognitive load unde...
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Chapter and Conference Paper
Industrial Pumps Anomaly Detection and Semi-supervised Anomalies Labeling Through a Cascaded Clustering Approach
Automation technology has brought significant changes to agriculture, industry, commerce and other fields, among which the machine learning algorithms are the important applications of predictive maintenance o...
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Chapter and Conference Paper
Measuring Decision Confidence Levels from EEG Using a Spectral-Spatial-Temporal Adaptive Graph Convolutional Neural Network
Decision confidence can reflect the correctness of people’s decisions to some extent. To measure the reliability of human decisions in an objective way, we introduce a spectral-spatial-temporal adaptive graph ...
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Article
FVAE: a regularized variational autoencoder using the Fisher criterion
As a deep generative model, the variational autoencoder (VAE) is widely applied to solve problems of insufficient samples and imbalanced labels. In the VAE, the distribution of latent variables affects the qua...
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Article
Short text matching model with multiway semantic interaction based on multi-granularity semantic embedding
Short text matching is a fundamental technique of natural language processing. It plays an important role in information retrieval, question answering and paraphrase identification, etc. However, due to the la...
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Article
Knowledge self-distillation for visible-infrared cross-modality person re-identification
Visible-Infrared cross-modality person Re-IDentification (VI-ReID) is a tough task due to the large modality discrepancy and intra-modality variations. Even so, increasing interest has still been attracted by ...
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Article
Antenna optimization based on master-apprentice broad learning system
In order to improve the efficiency of antenna optimization design, a surrogate model is often used to replace the full-wave electromagnetic simulation software. Broad learning system (BLS) provides an alternat...
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Article
A robust nonrigid point set registration framework based on global and intrinsic topological constraints
The problem of registering nonrigid point sets, with the aim of estimating the correspondences and learning the transformation between two given sets of points, often arises in computer vision tasks. This pape...
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Chapter and Conference Paper
A Study on the Generalized Normalization Transformation Activation Function in Deep Learning Based Image Compression
compression has a long history, being widely applied in numerous applications. Yet, the commonly applied approach is based on traditional signal processing, such as JPEG. The lack of lea...
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Chapter
The Development and Challenges of Robot Cognition
Cognition is a fundamental and key issue of intelligent robots, which can provide robots with intelligence in terms of various human cognition behaviors. In order to achieve the human’s high-level cognitive ab...
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Chapter and Conference Paper
Does Large Pretrained Dataset Always Help? On the Effect of Dataset Size on Big Transfer Model
Transfer learning often refers to an approach concerning machine learning in which the programmers relocate an initially developed model as the starting point for a model on a consequent task. It is evident th...
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Chapter
Conclusions
The intelligent robot is always a hot research topic and this is primarily motivated by their significance in both theoretical and practical areas. During the past decade, a lot of efforts have been made towar...
