33,746 Result(s)
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**li Li
Artificial Intelligence
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Article
ConDA: state-based data augmentation for context-dependent text-to-SQL
The context-dependent text-to-SQL task has profound real-world implications, as it facilitates users in extracting knowledge from vast databases, which allows users to acquire the information interactively for...
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BPSO-SLM: a binary particle swarm optimization-based self-labeled method for semi-supervised classification
The self-labeled methods have been favored by scholars in semi-supervised classification. Mislabeling is a great challenge for self-labeled methods and one of the reasons for mislabeling is that high-confidenc...
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Dual flow fusion graph convolutional network for traffic flow prediction
In recent decades, motor vehicle ownership has increased worldwide year by year, which causes that the accurate prediction of traffic flow on urban road networks becomes more important. However, the dual depen...
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TAENet: transencoder-based all-in-one image enhancement with depth awareness
Recently, CNN-based all-in-one image enhancement methods have been proposed to solve multiple image degradation tasks. However, these CNN-based methods usually have two limitations. One limitation is that they...
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Retraction Note: Gray relational clustering model for intelligent guided monitoring horizontal wells
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A new educational grading system based on fuzzy techniques
In this article, the authors propose a new educational grading system based on fuzzy techniques, which includes five interrelated modules. Through an example to illustrate the process of the proposed fuzzy edu...
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Article
Optimization of UAV base station placement for D2D content delivery network
In a device-to-device content delivery network (D2D-CDN), user equipment (UE) covered by a base station can forward content received from the base station to other uncovered UEs in a multi-hop manner to increa...
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Multi-scale modeling to investigate the effects of transcranial magnetic stimulation on morphologically-realistic neuron with depression
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique to activate or inhibit the activity of neurons, and thereby regulate their excitability. This technique has demonstrated pote...
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Improving customer satisfaction in the hotel industry by fusing multi-source user-generated content: An integration method based on the heuristic-systematic model and evidence theory
Improving customer satisfaction is the key factor in enhancing the core competitiveness of hotels, as higher customer satisfaction can lead to long-term benefits such as a positive reputation, customer loyalty...
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PROUD: PaRetO-gUided diffusion model for multi-objective generation
Recent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent approaches optimize these property functions independently, t...
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Article
CoocNet: a novel approach to multi-label text classification with improved label co-occurrence modeling
Multi-label text classification (MLTC) aims to assign one or more labels to each document. Previous studies mainly use the label co-occurrence matrix obtained from the training set to establish the correlation...
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CoFF-CHP: coarse-to-fine filters with concept heuristic prompt for few-shot relation classification
Few-shot relation classification (RC) is a crucial task that aims to identify the relationships between entity pairs with limited mentions. However, this task is challenging due to the insufficient amount of a...
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Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification
With the development of Internet technology, cyberspace security has become a research hotspot. Network traffic classification is closely related to cyberspace security. In this paper, the problem of classific...
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Fall detection algorithm based on pyramid network and feature fusion
Accidental falls are the second leading cause of accidental death of the elderly. Early intervention measures can reduce the problem. However, so far, there are few related studies using Transformer coding mod...
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Correction to: Different treatments of pixels in unlabeled images for semi-supervised sonar image segmentation
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Correction to: HierMDS: a hierarchical multi-document summarization model with global–local document dependencies
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Article
DCSG: data complement pseudo-label refinement and self-guided pre-training for unsupervised person re-identification
Existing unsupervised person re-identification (Re-ID) methods use clustering to generate pseudo-labels that are generally noisy, and initializing the model with ImageNet pre-training weights introduces a larg...
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Article
Multi-example query over ontology-label knowledge graphs
Multi-example query over knowledge graphs allows users to provide multiple example fragments to express their intention, overcoming the shortage of single example query asks users to give a specific complete q...
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Article
Retraction Note: Fast and robust absolute camera pose estimation with known focal length
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Article
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning
Self-attention, which allows transformers to capture deep bidirectional contexts, plays a vital role in BERT-like pre-trained language models. However, the maximum likelihood pre-training objective of BERT may...
