Most papers are machine-translated to English; some are originally in English.
Showing 16 of 116 papers in Computer Science
A novel network framework (SR-Net) for RGB-D salient object detection is proposed. To effectively integrate the complementarity of multimodal features, depth feature extraction is employed as an independent branch, the Convolutional Block Attention Module (CBAM) is adopted for depth feature enhancem…
Rain streaks severely degrade the quality of captured images, affecting subsequent computer vision tasks. To improve the quality of rainy images, we propose a Transformer-based single image deraining algorithm. First, the algorithm obtains a large receptive field through a transformer with a windowi…
To address the problem of inconsistency between control-plane and data-plane flow rules caused by hardware/software failures and misconfigurations in the SDN data plane, we propose a P4-based consistency verification mechanism for SDN control-data plane flow rules (P4CV, P4-based Consistency Verific…
To address issues such as key abuse and digital certificate management in existing lattice-based proxy re-encryption schemes, we introduce an accountability mechanism and propose a novel identity-based accountable proxy re-encryption scheme. This scheme employs user identity ID to compute and genera…
To satisfy the personalized requirements of end users and reduce the transmission delay in D2D networks, a cooperative retransmission scheme based on instantly decodable network coding (IDNC) with terminal differentiation is proposed. First, this scheme introduces a novel IDNC algorithmic framework …
To address the issue that existing vertical handover algorithms in heterogeneous wireless network environments struggle to achieve seamless handover for mobile users accessing networks and fail to provide stable communication services, a vertical handover algorithm based on mobile user location pred…
To address the inability of traditional software-based protocol stacks to meet the demands of high-speed data transmission and processing, a hardware-accelerated UDP protocol stack design scheme is proposed. Based on the highly efficient parallel characteristics of hardware, this scheme implements a…
To address issues such as poor car-following stability, ineffective tracking, or unsafe conditions caused by significant speed fluctuations of vehicles in congested environments, a multi-objective optimization car-following scheme based on vehicle models and deep reinforcement learning is proposed. …
To address the limitation that existing clothing compatibility models predominantly focus on exploring compatibility between paired items, we propose a clothing compatibility prediction model based on hypergraph representation. The model first constructs a clothing hypergraph based on the different …
Most existing algorithms utilizing Graph Neural Networks for text classification have overlooked the over-smoothing problem inherent in GNNs and the discrepancies arising from text graph topological differences, leading to suboptimal performance in text classification. To address this issue, we prop…
Distributed database systems are widely used due to the rapid development of the Internet. With ever-increasing demands, boosting performance and minimizing resource and data contention have become critical considerations. An effective distributed physical design, which determines data placement, re…
The emergence and widespread adoption of neural networks have significantly advanced research in pattern recognition and data mining. In recent years, graph neural networks have attracted increasing attention. They have found applications in various domains, including text classification, sequence l…
This paper focus on the researches of Maximal Independent Set (MIS). Based on reading and analysis of several recent papers, we divide the MIS problems into several classifications. The first is the classification based on the research objects, including the solution and maintenance of MIS; the seco…
In recent years, digital twins have attracted extensive attention and are becoming increasingly complex. Current digital twin implementations are predominantly confined to specific scenarios, and there remains a lack of methods for constructing complex digital twins in the face of multi-level and mu…
In recent years, alongside the continuous improvement in computer performance, artificial intelligence (Artificial Intelligence, AI) technology has experienced rapid development. AI technology, represented by deep neural networks, has achieved tremendous breakthroughs in numerous domains including a…
Game maps constitute a crucial human-computer interactive content-bearing platform in major games. With the application of cellular automata (CA) and Procedural Content Generation (PCG) in map generation, the spatial scale and data volume of contemporary game maps have increased substantially. Howev…
