67 Result(s)
within
Shuo zhang
Computer Science
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Article
TGLC: Visual object tracking by fusion of global-local information and channel information
Visual object tracking aspires to locate the target incessantly in each frame with designated initial target location, which is an imperative yet demanding task in computer vision. Recent approaches strive to ...
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Article
An effective variational auto-encoder-based model for traffic flow imputation
Traffic flow imputation is crucial in modern intelligent transportation systems, due to frequent data missing caused by the failure of detectors or the influence of hostile external environment (e.g., signal s...
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Chapter and Conference Paper
A Study on the Export Trend Forecast of Chinese Pharmaceutical Industry Based on GM (1,1) Model
This study aimed to forecast the exports of Chinese pharmaceutical industry by GM (1,1) gray forecasting model. The data of the study are taken from China’s pharmaceutical industry exports from 2001 to 2020. T...
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Chapter and Conference Paper
Mask Adaptive Spatial-Temporal Recurrent Neural Network for Traffic Forecasting
How to model the spatial-temporal graph is a crucial problem for the accuracy of traffic forecasting. Existing GNN-based work mostly captures spatial dependencies by using a pre-defined graph for close nodes a...
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Chapter and Conference Paper
MSTAN: A Multi-view Spatio-Temporal Aggregation Network Learning Irregular Interval User Activities for Fraud Detection
Discovering fraud patterns from numerous user activities is crucial for fraud detection. However, three factors make this task quite challenging: Firstly, previous research usually utilize just one of the two ...
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Article
Open AccessData-intensive workflow scheduling strategy based on deep reinforcement learning in multi-clouds
With the increase development of Internet of Things devices, the data-intensive workflow has emerged as a new kinds of representation for IoT applications. Because most IoT systems are structured in multi-clou...
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Article
Open AccessPersonalized federated learning with model interpolation among client clusters and its application in smart home
The proliferation of high-performance personal devices and the widespread deployment of machine learning (ML) applications have led to two consequences: the volume of private data from individuals or groups ha...
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Article
A real-time and lightweight traffic sign detection method based on ghost-YOLO
Traffic sign detection is an essential part of traffic security and unmanned driving system. Due to the changes in the traffic environment is complex, how to intelligently and efficiently detect traffic signs ...
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Chapter and Conference Paper
Multi-UUV Formation Cooperative Full-Area Coverage Search Method
At present, multi-UUV formation cooperative full-area coverage search method multi-sampling “Z” shaped search path. The traditional “Z” shaped search path has the problem that all UUVs need to turn outside the...
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Chapter and Conference Paper
BRQG: A BART-Based Retouching Framework for Multi-hop Question Generation
BART is a powerful pre-trained model that has excelled in generative tasks such as text summarization, question answering, and machine translation. In previous studies, the BART model has often been used for m...
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Article
ITGInsight–discovering and visualizing research fronts in the scientific literature
Nowadays, most organizations face the challenge of having to track the latest technological developments so as to discover new technology opportunities and to identify threats in their competitive environment....
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Article
Self-Calibration of the Descent Camera of the Tianwen-1 Probe
Tianwen-1 probe is equipped with the descent camera. Descent images are very special and characteristic. Many image processing missions can be done when parameters of descent camera are known. Therefore, the s...
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Chapter and Conference Paper
Parallel Cache Prefetching for LSM-Tree Based Store: From Algorithm to Evaluation
The Log-Structured Merge-Tree has efficient writing performance and performs well in big data scenarios. An LSM-tree transforms random writes into batch sequential writes through the design of a multilayer sto...
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Chapter and Conference Paper
A Multi-UUV Formation Control and Reorganization Method Based on Path Tracking Controller and Improved Ant Colony Algorithm
Aiming at the path selection problem in the reorganization of multi-UUV formations, a path tracking controller and an improved ant colony algorithm are proposed. First, a path tracking controller based on the ...
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Chapter and Conference Paper
Optimization of Loss Function for Pedestrian Detection
The advanced intelligent driving assistance system has improved the current traffic congestion to a great extent and effectively reduced frequent traffic safety accidents. Pedestrian detection technology is th...
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Chapter and Conference Paper
Improved Deterministic Algorithms for Non-monotone Submodular Maximization
Submodular maximization is one of the central topics in combinatorial optimization. It has found numerous applications in the real world. In the past decades, a series of algorithms have been proposed for this...
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Chapter and Conference Paper
IoT-GAN: Anomaly Detection for Time Series in IoT Based on Generative Adversarial Networks
In order to monitor the behaviors of IoT devices, a large amount of time series data are collected by sensors embedded in them. To take timely action further to resolve the underlying issues of IoT devices, it...
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Chapter and Conference Paper
A Survey of Traffic Classification Technology for Smart Home Based on Machine Learning
With the wide use of smart home devices and the privacy of their activities, more and more research have focused on the traffic classification for smart home, and traffic classification technology can infer th...
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Chapter and Conference Paper
A Review of Client Scheduling Strategies in Federated Learning
Federated learning is a distributed machine learning method to solve the problems of ‘data islands’ and privacy protection. Now it has become one of the research hotspots in the field of learning. Like many le...
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Article
Revealing potential drug-disease-gene association patterns for precision medicine
Precision medicine means giving patients the right treatment at the right dose at the right time with minimum ill consequences and maximum efficacy. It is medicine personalized to the individual’s genes, envir...
