9,254 Result(s)
within
**qi Zhou
Artificial Intelligence
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Article
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
Knowledge Graph (KG) has attracted more and more companies’ attention for its ability to connect different types of data in meaningful ways and support rich data services. However, due to privacy concerns, dif...
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Unsupervised domain adaptation via feature transfer learning based on elastic embedding
Supervised classification algorithms usually require a large quantity of well-labeled samples for training to achieve satisfied performance. Nevertheless, it is prohibitively difficult to create such datasets ...
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Enhanced DNA sequence design with learning PSO
DNA computing is a novel computing technology with high storage density and parallelism and promising applications. The reliability of DNA computing relies on data encoded DNA sequences, but designing qualifie...
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ReliTalk: Relightable Talking Portrait Generation from a Single Video
Recent years have witnessed great progress in creating vivid audio-driven portraits from monocular videos. However, how to seamlessly adapt the created video avatars to other scenarios with different backgroun...
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Consistent multi-view subspace clustering with local structure information
Multi-view subspace clustering has attracted extensive attention in recent years because it can fully utilize the inherent characteristics of each view data. The low-rank structure in many current successful m...
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Open AccessEsophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer
Endoscopic ultrasonography (EUS) is commonly utilized in preoperative staging of esophageal cancer, however with additional pain and cost as well as adverse events. Meanwhile, the accuracy of EUS is highly dep...
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End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipeline, i.e., detecting text in individual images, recognizing localized text, tracking text streams with post-processing to generate final re...
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Exploiting Diffusion Prior for Real-World Image Super-Resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution. Specifically, by employing our time-aware encoder, we can achieve ...
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Open AccessA novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily on visual features, which are often inadequate in low-light ...
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Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops, threatening food security. Timely classification, accurate identifica...
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Article
Application of hill climbing method in position angle compensation for SPMSM
Surface-mounted permanent magnet synchronous motor (SPMSM) is widely used in the industrial field with excellent performance, and the rise of artificial intelligence has also promoted its development. In order...
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Cross-dimensional knowledge-guided synthesizer trained with unpaired multimodality MRIs
Magnetic resonance images (MRIs) of different modalities have different reference values for pathological diagnosis. The difficulty of obtaining multimodal MRIs makes it effective to synthesize medical images ...
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Article
A multi-strategy hybrid cuckoo search algorithm with specular reflection based on a population linear decreasing strategy
The cuckoo search algorithm (CS), an algorithm inspired by the nest-parasitic breeding behavior of cuckoos, has proved its own effectiveness as a problem-solving approach in many fields since it was proposed. ...
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Article
Open AccessKnowledge graph embedding closed under composition
Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly import...
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Ensemble based fully convolutional transformer network for time series classification
Currently, multivariate time series classification is widely used in various fields, including industrial process control, action recognition, and health monitoring. Due to their sequential modeling capabiliti...
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Article
On weak convergence of quantile-based empirical likelihood process for ROC curves
The empirical likelihood (EL) method possesses desirable qualities such as automatically determining confidence regions and circumventing the need for variance estimation. As an extension, a quantile-based EL ...
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Open AccessAn Improved Equilibrium Optimizer for Solving Multi-quay Berth Allocation Problem
The multi-quay berth allocation problem (MQBAP) is an important problem in the planning of seaside operations (POSO) to find the best berthing solution for all the vessels. In this paper, an efficient method b...
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Open AccessCorrection to: IntelPVT: intelligent patch-based pyramid vision transformers for object detection and classification
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Article
Vagus nerve electrical stimulation in the recovery of upper limb motor functional impairment after ischemic stroke
Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb hemiparesis, dysphagia, auditory disorders, and speech disorders, usual...
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Article
Open AccessFast image recoloring for red–green anomalous trichromacy with contrast enhancement and naturalness preservation
Color vision deficiency (CVD) is an eye disease caused by genetics that reduces the ability to distinguish colors, affecting approximately 200 million people worldwide. In response, image recoloring approaches...
