3,069 Result(s)
within
Yi**ang Chen
Computer Science
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Article
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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Article
Multi-strategy improved sparrow search algorithm based on first definition of ellipse and group co-evolutionary mechanism for engineering optimization problems
The Sparrow Search Algorithm (SSA) is recognized for its rapid convergence and precision in engineering optimization, yet it faces the challenge of premature convergence on complex problems. To address this, a...
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Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics
Multi-Exposure Fusion (MEF) technique aims to fuse multiple images taken from the same scene at different exposure levels into an image with more details. Although more and more MEF algorithms have been develo...
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Article
MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’ visual quality. The main challenge in flare removal is to elimi...
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Development of a parking system based on learning automata
Rapid growth of urban population and unplanned urbanization are reducing the number of urban parking spaces and increase traffic congestion. In China, due to the tripling of the number of motor vehicles in the...
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Air combat maneuver decision based on deep reinforcement learning with auxiliary reward
For air combat maneuvering decision, the sparse reward during the application of deep reinforcement learning limits the exploration efficiency of the agents. To address this challenge, we propose an auxiliary ...
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Article
Saver: a proactive microservice resource scheduling strategy based on STGCN
As container technology and microservices mature, applications increasingly shift to microservices and cloud deployment. Growing microservices scale complicates resource scheduling. Traditional methods, based ...
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Article
Distribution-decouple learning network: an innovative approach for single image dehazing with spatial and frequency decoupling
Image dehazing methods face challenges in addressing the high coupling between haze and object feature distributions in the spatial and frequency domains. This coupling often results in oversharpening, color d...
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Aspect-level implicit sentiment analysis model based on semantic wave and knowledge enhancement
Most implicit sentiment sentences in aspect level implicit sentiment analysis lack emotional words, but there are still potential emotional clues. Current research mainly utilizes contextual information and ex...
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Article
Open AccessSS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes
Continual relation extraction aims to learn new relations from a continuous stream of data while avoiding forgetting old relations. Existing methods typically use the BERT encoder to obtain semantic embeddings...
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Article
Knowledge and separating soft verbalizer based prompt-tuning for multi-label short text classification
Multi-label Short Text Classification (MSTC) is a challenging subtask of Multi-Label Text Classification (MLTC) for tagging a short text with the most relevant subset of labels from a given set of labels. Rece...
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Article
Utilization of pre-trained language models for adapter-based knowledge transfer in software engineering
Software Engineering (SE) Pre-trained Language Models (PLMs), such as CodeBERT, are pre-trained on large code corpora, and their learned knowledge has shown success in transferring into downstream tasks (e.g.,...
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Article
Multivariate time series anomaly detection via dynamic graph attention network and Informer
In the industrial Internet, industrial software plays a central role in enhancing the level of intelligent manufacturing. It enables the promotion of digital collaborative services. Effective anomaly detection...
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Effects of a self-regulated-based gamified interactive e-books on primary students' learning performance and affection in a flipped mathematics classroom
Gamified interactive e-books can make the learning process more interactive, enjoyable, and personalized by incorporating game elements into the educational content, thus increasing student engagement and rete...
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Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework
Precision agriculture has long struggled with the surveillance and control of pests. Traditional methods for estimating pest density and distribution through manual reconnaissance are often time-consuming and ...
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Article
C4y: a metric for distributed IoT clustering
In the era of the Internet of Things (IoT), the proliferation of interconnected devices and sensors has led to an unprecedented deluge of data. Effective data analysis, particularly clustering, has become pivo...
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Open AccessFL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal federation where clients share hom...
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Article
An Approach to Pruning the Structure of Convolutional Neural Networks without Loss of Generalization Ability
This paper proposes an approach to pruning the parameters of convolutional neural networks using unsupervised pretraining. The authors demonstrate that the proposed approach makes it possible to reduce the num...
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Article
Energy and delay co-aware intelligent computation offloading and resource allocation for fog computing networks
In the data-rich everything-connected world, rapid and green data processing is essential, especially for some delay-sensitive and computation-intensive tasks. Motivated by these requirements, an energy and de...
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Underwater image enhancement by combining multi-attention with recurrent residual convolutional U-Net
The scattering and absorption of light lead to color distortion and blurred details in the captured underwater images. Although underwater image enhancement algorithms have made significant breakthroughs in re...
