Search Results - "2023 International Conference on Neuromorphic Computing (ICNC)"

Finite-Time Synchronization of Flux-Controlled Complex-Valued Memristive Neural Networks by Wang, Yonghuan, Wang, Leimin, Wu, Genping

“…In this paper, by using the flux-controlled memristor model, the finite-time synchronization problem of delayed complex-valued memristive neural networks…”
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Meta-PolyArc:A Face Recognition Algorithm for Truck Drivers at Unmanned Gates Aiming at Few-shot Problem by Cao, Runxing, Liu, Qing, Peng, Liwei

“…In this paper, we focus on the face recognition problem of transport drivers in unmanned gate scenarios. In this scenario, due to the high cost of data…”
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A Novel Block Focused Omega-K Algorithm for Millimetre-Wave Radar Imaging by Liang, Weiwei, Li, Chuandong, Yang, Shaqi, Shi, Yawei, Luo, Zhen, Qiu, Ruiyang

“…Classical millimetre-wave (mmWave) radar imaging algorithms frequently encounter challenges arising from their substantial computational demands and the…”
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Distributed Nash Equilibrium Seeking Under Dynamic Event-Triggered Mechanism Without Velocity Measurement by Wang, Mengxin, Han, Xiaoni, Xue, Yuhan, Qin, Sitian

“…In this paper, the noncooperative game with second-order nonlinear systems is studied. To seek the Nash equilibrium (NE) for each player with second-order…”
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Improved EEG Decoding Method Based on Spiking Neural Network for SSVEPs' Classification by He, Yufan, Huang, Yong, Li, Yan, Chu, Haoming, Zheng, Lirong, Ma, Ning, Huan, Yuxiang

“…This paper presents an electroencephalogram (EEG) signals decoding method based on an event-driven spiking neural network (SNN) model design for steady-state…”
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Improve Adversarial Robustness via Probabilistic Distributions Decoupled Network While Guaranteeing Clean Performance by Ye, Zeping, Zeng, Zhigang, Xu, Bingrong

“…The deep neural network (DNN) can be fooled by introducing a small perturbation to the example. Adversarial training (AT) is proven to be one of the most…”
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Privacy Preserving Discretized Spiking Neural Network with TFHE by Li, Pengbo, Gao, Ting, Huang, Huifang, Cheng, Jiani, Gao, Shuhong, Zeng, Zhigang, Duan, Jinqiao

“…Artificial intelligence not only offers significant convenience but also raises privacy and security concerns, which pose challenges for Spiking Neural…”
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Associative Memory Design Based on Region Attracivity Neural Networks and Reinforcement Learning by Bao, Gang, Song, Zhenyan, Zhou, Ranran

“…This paper introduces a novel associative memory design method based on neural networks which are region attractivity. For the given memory patterns, we can…”
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Finite-time Stabilization of Fractional-order Memristive Complex-valued Delay Neural Networks by Zhu, Jiaqing, Zhang, Guodong, Li, Yan

“…This paper focuses on the finite-time(FNT) stabilization for a class of fractional-order memristive complex-valued delay neural networks(FOMCVDNNs). Instead of…”
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Automatic Quality Evaluation for User Generated Contents in Online Q&A Community Based on Word2Vec-CNN by Yang, Yanni, Tan, Yiting, Yang, Yang, Huang, Zhengwei

“…The online Q&A (question-and-answer) community has emerged as a prominent platform for Internet users to access valuable information, but a notable disparity…”
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A Novel Method of Fixed-time Synchronization of Neural Networks by Xiao, Jian, Hu, Yiyin, Shao, Rongli

“…This paper has addressed the fixed-time synchronization of neural networks. Aiming to realize fixed-time synchronization of driven-response system, two…”
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Estimation of the Domain of Attraction on Controlled Complex Networks with Unbounded Time-varying Delay by Yu, Hong, Song, Yinfang, Liu, Li, Zhang, Gang

“…This paper deals with the problem of the domain of attraction (DOA) estimation for complex networks with unbounded delay. Firstly, from the perspective of…”
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Stacking Integration Strategy-Based Learning Method for Prediction of Performance in Exams by Jiang, Hua, Bao, Yaqian, Jiang, Feng

“…Academic performance serves as a direct indicator of learning effectiveness. In the paper, a stacking learning method is proposed to predict students'…”
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Finite-Time Stability Analysis and Stabilization of Discrete-Time Stochastic Time-Varying Systems with Time Delay via the Interval-Matrix Method by Chen, Guici, Liu, Jie, Zhou, Xin

“…This paper investigates the finite-time stochastic stability (FTSS) and stabilization of discrete-time stochastic time-varying systems (DSTSs) with time delay…”
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Stability Analysis of Neutral Stochastic Pantograph System with Time-dependent Switching and its Applications in Neural Networks by Wang, Chao, Song, Yinfang, Zhang, Fengjiao

“…This paper investigates the stability of a highly non-linear neutral stochastic pantograph system with time-dependent switching (NSPSTS) and its applications…”
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Optimized Scheduling of Integrated Energy Systems in Dragon Fruit Agricultural Parks by Xi, Zhoucheng, Liu, Zhi-Wei, Chi, Ming

“…This paper takes the agricultural electricity load of Guangxi dragon fruit orchard as the background, and constructs a model of light storage and load energy…”
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A Two-Stage Clustering-Based Approach for Assessing Peak Shifting and Valley Filling Potential in Industrial Electric Loads by Lu, Feng, Zhou, Xianfu, Jiang, Zhong, Dong, Hanyu, Xu, Jun, Xing, Yi, Wang, Ke, Zheng, Songsong

“…With the advancement of the carbon peaking and carbon neutrality goals, there has been significant development in new energy generation. Due to the…”
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Brain Inspired Episodic Memory Deep Q-Networks for Sparse Reward by Wu, Xinyu, Fan, Chaoqiong, Jia, Tianyuan, Wu, Xia

“…Although deep reinforcement learning has achieved great success in recent years, it still suffers from slow convergence, low sample efficiency, and large…”
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A CNN-Transformer-Based Multimodal Model for Cardiac Abnormal Signal Detection by Chang, Yuhan, Xiang, Muchao, Ling, Zaixun, Liu, Qine, Liu, Dan, Lian, Cheng

“…Cardiovascular disease detection plays a crucial role in medical diagnosis, and deep learning models have shown promise in analyzing physiological signals such…”
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Fixed/preassigned-time Anti-synchronization of Complex-valued Inertial Neural Networks with Distributed Delays by Yao, Yu, Zhang, Guodong, Hu, Junhao

“…This paper focuses on studying the problem of fixed-time anti-synchronization(FTAS) and preassigned-time anti-synchronization(PTAS) in complex-valued inertial…”
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