Dependable Software Engineering. Theories, Tools, and Applications
9th International Symposium, SETTA 2023, Nan**g, China, November 27–29, 2023, Proceedings
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**jun Sun
Computer Science
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Article
Open AccessEffectiveness assessment of recent large vision-language models
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the models’ effectiveness in both specialized and general tasks war...
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Article
Towards efficient and accurate approximation: tensor decomposition based on randomized block Krylov iteration
Tensor decomposition methods are inefficient when dealing with low-rank approximation of large-scale data. Randomized tensor decomposition has emerged to meet this need, but most existing methods exhibit high ...
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Article
Semantic-alignment transformer and adversary hashing for cross-modal retrieval
Deep Cross-Modal Hashing (DCMH) has garnered significant attention in the field of cross-modal retrieval due to its advantages such as high computational efficiency and small storage space. However, existing D...
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Article
Multi-label semantic sharing based on graph convolutional network for image-to-text retrieval
Cross-modal hashing has attracted widespread attention due to its ability to reduce the complexity of storage and retrieval. However, many existing methods use a symbolic function to map hash codes, which lead...
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Article
Monocular vehicle speed detection based on improved YOLOX and DeepSORT
A monocular vehicle speed detection method based on improved YOLOX and DeepSORT is proposed for the simple scene of fixed shooting angle without high precision but requiring control cost. For continuous video ...
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Article
Exploring the impact of inter-organizational knowledge potential difference: an empirical investigation of inventor mobility
The intricate interplay between inventor mobility and its influence on knowledge transfer has captivated the attention of scholars and policymakers. While the significance of individual characteristics in shap...
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Article
Recent advances in object tracking using hyperspectral videos: a survey
Short-Term Single-Object (STSO) tracking using Hyperspectral Videos (HSVs), which has become a hotspot recently, is a challenging task. Hyperspectral Object Tracking (HOT) makes full use of spatial and spectra...
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Article
Efficient approaches for task offloading in point-of-interest based vehicular fog computing
Vehicular fog computing (VFC), as the extension of the mobile cloud, has been widely investigated. However, in most existing VFC works, the scenario with point-of-interests (PoIs) is rarely considered, which c...
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Article
A relation-aware representation approach for the question matching system
Online question matching is the process of comparing user queries with system questions to find appropriate answers. This task has become increasingly important with the popularity of knowledge sharing social ...
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Chapter and Conference Paper
A Developer Recommendation Method Based on Disentangled Graph Convolutional Network
Crowdsourcing Software Development (CSD) solves software development tasks by integrating resources from global developers. With more and more companies and developers moving onto CSD platforms, the informatio...
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Chapter and Conference Paper
Carbon Trading Based on Consortium Chain: Building, Modeling, and Analysis
Traditional carbon trading suffers from poor interoperability, low transparency and reliance on manual drawbacks. In this paper, we analyze the combination of carbon trading and blockchain technology to design...
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Chapter and Conference Paper
Heterogeneous Signcryption Scheme with Equality Test for Internet of Vehicles
By collecting and using vehicle dynamic data from sensors on vehicles, Internet of Vehicles (IoV) has greatly enhanced the convenience and intelligence of users’ transportation. However, the data transmission ...
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Book and Conference Proceedings
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Chapter and Conference Paper
A Blockchain-Based Proxy Re-Encryption Scheme with Cryptographic Reverse Firewall for IoV
As the Internet of vehicles (IoV) technology develops, it promotes the intelligent interaction among vehicles, road side instrument, and the environment. Nevertheless, it also brings vehicle information securi...
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Article
Transformer-based few-shot object detection in traffic scenarios
In few-shot object detection (FSOD), many approaches retrain the detector in the inference stage, which is unrealistic in real applications. Moreover, high-quality region proposals are difficult to generate fo...
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Chapter and Conference Paper
Optimal Information Fusion Descriptor Fractional Order Kalman Filter
The fractional order Kalman filtering theory is an extension and extension of traditional integer order Kalman filters, which can solve the state estimation problem of fractional order systems. At present, the...
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Chapter and Conference Paper
Towards Privacy-Preserving Decentralized Reputation Management for Vehicular Crowdsensing
The reputation of a vehicle is a critical role in most vehicular crowdsensing applications, which incentivizes vehicles to perform crowdsensing tasks by submitting high-quality data and getting remunerated acc...
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Article
HACAN: a hierarchical answer-aware and context-aware network for question generation
Question Generation (QG) is the task of generating questions according to the given contexts. Most of the existing methods are based on Recurrent Neural Networks (RNNs) for generating questions with passage-le...
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Article
Contrastive label assignment in vehicle detection
Vehicle detection is a critical task that involves identifying and localizing vehicles in a traffic scenario. However, the traditional approach of one-to-one set matching for label assignment, where each groun...
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Article
Variable step-size pseudo affine projection algorithm for censored regression
The censored observations of adaptive signal processing have widely occurred in plenty of utility applications. Using traditional adaptive algorithms to recognize systems will confront convergence reduced unde...
