676 Result(s)
within
**n Lian
Artificial Intelligence
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Article
Open AccessTrajectory Tracking Control of Fixed-Wing Hybrid Aerial Underwater Vehicle Subject to Wind and Wave Disturbances
The hybrid aerial underwater vehicle (HAUV) could operate in the air and underwater might provide a great convenience for aerial and underwater exploration, and the fixed-wing HAUV (FHAUV) has time, space and ...
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Article
Fixed-/preassigned-time synchronization for delayed complex-valued neural networks with discontinuous activations
Finite-time synchronization is a crucial phenomenon observed in nonlinear complex systems, the settling time in such a dynamic phenomenon is heavily depends on the initial states which may be unaccessible befo...
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Article
Guiding image inpainting via structure and texture features with dual encoder
Image inpainting techniques have made rapid progresses in recent years. Recent advancements focus mainly on generating realistic and semantically plausible structure and texture features in missing regions. Ho...
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Article
Open AccessDeep learning implementation of image segmentation in agricultural applications: a comprehensive review
Image segmentation is a crucial task in computer vision, which divides a digital image into multiple segments and objects. In agriculture, image segmentation is extensively used for crop and soil monitoring, p...
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Article
A multi-granular general evolutionary computation framework by fully utilizing the eliminated particles
In the evolutionary algorithm, an intuitive phenomenon is that the eliminated bad particles are also beneficial to convergence in evolutionary algorithms by preventing the generated particles from being close ...
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Article
Masked self-supervised ECG representation learning via multiview information bottleneck
In recent years, self-supervised learning-based models have been widely used for electrocardiogram (ECG) representation learning. However, most of the models utilize contrastive learning that strongly depend o...
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Article
QEAN: quaternion-enhanced attention network for visual dance generation
The study of music-generated dance is a novel and challenging image generation task. It aims to input a piece of music and seed motions, then generate natural dance movements for the subsequent music. Transfor...
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Article
Image classification based on tensor network DenseNet model
Image classification, the primary domain where deep neural networks significantly contribute to image analysis, requires a substantial amount of computer memory to train. This is particularly true in the fully...
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Article
Task-related network based on meta-learning for few-shot knowledge graph completion
Knowledge graph (KG) is a powerful tool in many areas, but it is impossible to take in all knowledge during construction for the complexity of relations among natural entities. In practical terms, many relatio...
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Article
Multitask learning for image translation and salient object detection from multimodal remote sensing images
This paper presents a novel and efficient multitask learning framework for image translation and saliency detection from remote sensing images, which mainly contains the image translation network-weight sharin...
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Article
A Novel Feature Fusion Approach for Classification of Motor Imagery EEG Based on Hierarchical Extreme Learning Machine
Because feature extraction from electroencephalogram (EEG) signals is essential for cognitive investigations, effective feature extraction approaches are needed to improve the practical recognition accuracy of...
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Article
Open AccessIdentifying “sloppy” users in TMS through operation logs
A transportation management system (TMS) is an integral software system for modern logistics and transportation companies. It is crucial to evaluate the quality of a TMS objectively, a task that currently pres...
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Article
Log-periodic power law hybrid model based on BP neural network
Stock market crashes bring about huge economic loss, so predicting the stock market crashes is extremely important for both the investors and practitioners. Back propagation (BP) neural network performed great...
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Article
Joint data augmentation and knowledge distillation for few-shot continual relation extraction
Few-shot continual relation extraction (CRE) aims to perpetually learn new relations through a limited set of training samples. Its primary challenges include few-shot problems and catastrophic forgetting of o...
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Chapter and Conference Paper
Research on Behavior Control Method in 3D Virtual Animation Design
In order to improve the effect of behavior control in 3D animation design, this paper combines 3D intelligent control algorithm to build model. In order to obtain high quality virtual human sign language anima...
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Chapter and Conference Paper
Student Satisfaction in External Online Course Provider: The Way Forward for WOU?
Education profoundly impacts life quality, highlighting the importance of a strong education system. This study explores student satisfaction with external online course providers in distance learning. It focu...
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Chapter and Conference Paper
Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net
Single-channel speech enhancement research in complex industrial production environments is limited. Current methods, whether based on attention mechanisms or generative adversarial networks, primarily focus o...
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Chapter and Conference Paper
Pseudo Labels Refinement with Stable Cluster Reconstruction for Unsupervised Re-identification
Most existing unsupervised re-identification uses a clustering-based approach to generate pseudo-labels as supervised signals, allowing deep neural networks to learn discriminative representations without anno...
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Chapter
Summary and Outlook
This chapter provides a summary of the book and offers insights into future trends in the research and application of recommender systems.
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Chapter and Conference Paper
Emotional Support Dialog System Through Recursive Interactions Among Large Language Models
Emotional Support is one of the crucial abilities for multi-turn conversations, especially in the tasks of counseling and mental health support. Recent advancements in large language models (LLMs) have shown t...
