117 Result(s)
within
Tao **ong
Computer Science
English
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Article
A depression detection model based on multimodal graph neural network
Depression is a prevalent mental illness, especially major depression, which has a negative impact on individuals and society. In clinical practice, doctors diagnose depression primarily based on self-reported...
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Article
Retraction Note: Artificial intelligence technology based on deep learning in digestive endoscopy imaging diagnosis
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Chapter and Conference Paper
Prediction and Optimization of Mechanical Manufacturing Quality Based on Deep Learning
The application of deep learning technology in mechanical design parameter optimization has opened up new research directions. The limitations of traditional design methods, especially in the search for global...
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Chapter and Conference Paper
A Literature Analysis of the Application of Artificial Intelligence in Judicial Adjudication
The progress of technology has a profound impact on the transformation of social life while judicial activities are no exception. In recent years, artificial intelligence such as big data, blockchains has wide...
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Chapter and Conference Paper
A Reliability-Amended-Based Controller Placement Method for LEO Satellite Networks
LEO satellite networks are becoming research hot and the utilization of software defined network (SDN) technology brings benefits in flexible network control. Controller placement is important for SDN-enabled ...
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Chapter and Conference Paper
CMMix: Cross-Modal Mix Augmentation Between Images and Texts for Visual Grounding
Visual grounding (VG) is a representative multi-modal task that has recently gained increasing attention. Nevertheless, existing works still face challenges leading to under-performance due to insufficient tra...
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Article
EEMD-ConvLSTM: a model for short-term prediction of two-dimensional wind speed in the South China Sea
Accurate prediction of sea surface wind speed is crucial for marine activities such as marine search and rescue, marine ship**, and marine fishing. Because of the gustiness of sea surface winds, the wind spe...
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Article
The using effect of fuzzy analytic hierarchy process in project engineering risk management
This work aims to explore the effectiveness of the fuzzy analytic hierarchy process (FAHP) in project engineering risk management and comprehensively investigate the application of genetic algorithm (GA) and n...
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Article
RETRACTED ARTICLE: Artificial intelligence technology based on deep learning in digestive endoscopy imaging diagnosis
With the continuous progress in the era of big data, artificial intelligence technology has begun to get more and more applications in medicine, and it is becoming more and more possible to use artificial inte...
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Article
A unified and costless approach for improving small and long-tail object detection in aerial images of traffic scenarios
Object detection is an important and challenging task for the utilization of arterial images. However, in traffic scenarios, small-sized and long-tail distributed object detections are still major challenges f...
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Article
Retraction Note: Fuzzy neural network model construction based on shortest path parallel algorithm
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Chapter and Conference Paper
Pneumonia Image Recognition Based on Transfer Learning
With the rapid development of artificial intelligence (AI), the anomalies detection in biomedical has became important in patients’ health monitoring. The pneumonia, including COVID-19, is a global threat. Det...
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Chapter and Conference Paper
Collaborative Modality Generation and Tissue Segmentation for Early-Develo** Macaque Brain MR Images
In neuroscience research, automatic segmentation of macaque brain tissues in magnetic resonance imaging (MRI) is crucial for understanding brain structure and function during development and evolution. Acquisi...
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Chapter and Conference Paper
Self-supervised Multi-object Tracking with Cycle-Consistency
Multi-object tracking is a challenging video task that requires both locating the objects in the frames and associating the objects among the frames, which usually utilizes the tracking-by-detection paradigm. ...
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Chapter and Conference Paper
UCLD-Net: Decoupling Network via Unsupervised Contrastive Learning for Image Dehazing
From traditional algorithms based on handcrafted prior to learning algorithms based on neural networks, the image dehazing technique has gone through great development. The handcrafted prior-based methods need...
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Chapter and Conference Paper
SG-Net: Semantic Guided Network for Image Dehazing
From traditional handcrafted priors to learning-based neural networks, image dehazing technique has gone through great development. In this paper, we propose an end-to-end Semantic Guided Network (SG-Net (Code...
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Chapter and Conference Paper
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs
The great transferability of DNNs has induced a popular paradigm of “pre-training & fine-tuning”, by which a data-scarce task can be performed much more easily. However, compared to the existing efforts made i...
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Chapter and Conference Paper
Automatic Model Selection Algorithm Based on BYY Harmony Learning for Mixture of Gaussian Process Functional Regressions Models
For finite mixture models, determining the number of components is referred to as model selection. This paper puts forward an automatic model selection algorithm based on Bayesian Ying-Yang (BYY) harmony learn...
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Article
A real-time siamese tracker deployed on UAVs
Visual object tracking is an essential enabler for the automation of UAVs. Recently, Siamese network based trackers have achieved excellent performance on offline benchmarks. The Siamese network based trackers...
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Chapter and Conference Paper
Mesh2Measure: A Novel Body Dimensions Measurement Based on 3D Human Model
In this work, we propose an anthropometric dimensions measurement method based on 3D human model, namely Mesh2Measure. In our method, Human body features in the front and side images are firstly extracted and ...
