73 Result(s)

Article

Optimal saturated information load analysis for enhancing robustness in unmanned swarms system

Saturated information load is defined as the information received by a unmanned aerial vehicle (UAV) node in a swarm network reaches the overload limit of its processing capability. When a UAV swarm performs a...

Jian Wu, Yichuan Jiang, Junjun Tang, Linfei Ding in Complex & Intelligent Systems (2024)

Article

Multi-UAV pursuit-evasion gaming based on PSO-M3DDPG schemes

The sample data for reinforcement learning algorithms often exhibit sparsity and instability, making the training results susceptible to falling into local optima. Mini-Max-Multi-agent Deep Deterministic Polic...

Yaozhong Zhang, Meiyan Ding, Jiandong Zhang, Qiming Yang… in Complex & Intelligent Systems (2024)

Article

Enhanced Chinese named entity recognition with multi-granularity BERT adapter and efficient global pointer

Named Entity Recognition (NER) plays a crucial role in the field of Natural Language Processing, holding significant value in applications such as information extraction, knowledge graphs, and question–answeri...

Lei Zhang, Pengfei **a, **aoxuan Ma, Chengwei Yang… in Complex & Intelligent Systems (2024)

Article

A deep multi-branch attention model for histopathological breast cancer image classification

Since the impressive superior performance demonstrated by deep learning methods is widely used in histopathological image analysis and diagnosis, existing work cannot fully extract the information in the breas...

Rui Ding, ** Zhou, Dayu Tan, Yansen Su, Chao Jiang… in Complex & Intelligent Systems (2024)

Article

LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification

Using convolutional neural networks (CNNs) in classifying hyperspectral images (HSIs) has achieved quite good results in recent years. It is widely used in agricultural remote sensing, geological exploration, ...

Jie Sun, **g Yang, Wang Chen, Sujie Ding, Shaobo li… in Neural Processing Letters (2024)

Article

Pattern Control of Neural Networks with Two-Dimensional Diffusion and Mixed Delays

In this paper, a two-neuron reaction–diffusion neural network with discrete and distributed delays is proposed, and the state feedback control strategy is adopted to achieve control of its spatiotemporal dynam...

Yifeng Luan, Min **ao, **nsong Yang, **angyu Du, Jie Ding… in Neural Processing Letters (2024)

Article

Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment

The performance improvement of CMOS computer fails to meet the enormous data processing requirement of artificial intelligence progressively. The memristive neural network is one of the most promising circuit ...

Le Yang, Zhixia Ding, Yanyang Xu, Zhigang Zeng in Complex & Intelligent Systems (2024)

Article

DialGNN: Heterogeneous Graph Neural Networks for Dialogue Classification

Dialogue systems have attracted growing research interests due to its widespread applications in various domains. However, most research work focus on sentence-level intent recognition to interpret user uttera...

Yan Yan, Bo-Wen Zhang, Peng-hao Min, Guan-wen Ding… in Neural Processing Letters (2024)

Article

Multi-constraint non-negative matrix factorization for community detection: orthogonal regular sparse constraint non-negative matrix factorization

Community detection is an important method to analyze the characteristics and structure of community networks, which can excavate the potential links between nodes and further discover subgroups from complex n...

Zigang Chen, Qi **ao, Tao Leng, Zhenjiang Zhang, Ding Pan… in Complex & Intelligent Systems (2024)

Article

The Spatiotemporal Evolution Mechanism of Urban Rail Transit Fault Propagation in Networked Operation Modes

The cascading propagation and evolution of metro operation failures can significantly impact the safety of metro operation. To overcome this challenge, this study pre-processes a massive amount of metro operat...

Ding **aobing, Hu Hua, Liu Zhigang, Mu Qingquan in Urban Rail Transit (2024)

Article

An overview of developments and challenges for unmanned surface vehicle autonomous berthing

With the continuous progress of contemporary science and technology and the increasing requirements for marine vehicles in various fields, the intelligence and automation of ships have become a general trend. ...

Gongxing Wu, Debiao Li, Hao Ding, Danda Shi, Bing Han in Complex & Intelligent Systems (2024)

Article

A problem-specific parallel pareto local search for the reactive decision support of a special RCPSP extension

The disaster information collection mission should be executed after the disaster occurs to provide details for the decision-makers. During the execution of the information collection mission, some disruptions...

Junqi Cai, Zhihong Peng, Shuxin Ding, Zhiguo Wang, Yue Wei in Complex & Intelligent Systems (2023)

Article

Research on Time-Based Fare Discount Strategy for Urban Rail Transit Peak Congestion

To alleviate peak-hour congestion in urban rail transit, this study proposes a new off-peak fare discount strategy to incentivize passengers to shift their departure time from peak to off-peak hours. Firstly, ...

**aobing Ding, Chen Hong, **long Wu, Lu Zhao, Gan Shi, Zhigang Liu… in Urban Rail Transit (2023)

Article

Parametric simulation of electron backscatter diffraction patterns through generative models

Recently, discriminative machine learning models have been widely used to predict various attributes from Electron Backscatter Diffraction (EBSD) patterns. However, there has never been any generative model de...

Zihao Ding, Marc De Graef in npj Computational Materials (2023)

Article

The best thermoelectrics revisited in the quantum limit

The classical problem of best thermoelectrics, which was believed originally solved by Mahan and Sofo [Proc. Natl. Acad. Sci. USA 93, 7436 (1996)], is revisited and discussed in the quantum limit. We express t...

Sifan Ding, **aobin Chen, Yong Xu, Wenhui Duan in npj Computational Materials (2023)

Article

An enterprise adaptive tag extraction method based on multi-feature dynamic portrait

User portrait has become a research hot spot in the field of knowledge graph in recent years and the rationality of tag extraction directly affects the quality of user portrait. However, most of the current ta...

**ang Li, **ngshuo Ding, Qian **e, Shangbing Gao… in Complex & Intelligent Systems (2023)

Article

Computational modeling and simulation for endovascular embolization of cerebral arteriovenous malformations with liquid embolic agents

Endovascular embolization of arteriovenous malformations (AVMs) in the brain usually requires injecting liquid embolic agents (LEAs) to reduce blood flow through the malformation. In clinical procedures, the f...

Bowen Zhang 张博文, ** Chen 陈曦, **aolong Zhang 张晓龙… in Acta Mechanica Sinica (2023)

Article

LTF-NSI: a novel local transfer function based on neighborhood similarity index for medical image enhancement

Medical image is an essential tool used in quantitative and qualitative evaluation of different diseases. Medical imaging methods such as fluorescein angiography (FA), optical coherence tomography angiography ...

Idowu Paul Okuwobi, Zhixiang Ding, Jifeng Wan… in Complex & Intelligent Systems (2023)

Article

Editorial: Special Issue on Transfer Learning

Guoqing Chao, **ngquan Zhu, Wei** Ding, **bo Bi… in Neural Processing Letters (2023)

Article

Risk Chain Mining of Hazard Sources in Metro Operation System Safety: A New Method to Mine and Control Risk for Safety Management

With the promotion of the major strategy of national transportation power, the super-large-scale metro operation network has become an inevitable trend, and operation safety has become increasingly prominent. ...

Ding **aobing, Shi Gan, Liu Zhigang, Hu Hua in Urban Rail Transit (2023)