Noisy deep networks: chaos, multistationarity, and eternal evolution by S A Vakulenko, I Sudakow

“…We study time-recurrent hierarchical networks that model complex systems in biology, economics, and ecology. …”
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Parameter-efficient weakly supervised referring video object segmentation via chain-of-thought reasoning by Xing Wang, Zhe Xu, Yuanshi Zheng, Handing Wang

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Control strategy of robotic manipulator based on multi-task reinforcement learning by Tao Wang, Ziming Ruan, Yuyan Wang, Chong Chen

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Multi-attribute bottleneck identification method for hybrid flow shops in panel furniture intelligent manufacturing by Xinyi Yue, Xianqing Xiong, Mei Zhang, Xiutong Xu

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Life prediction and health assessment of aero-engine gas path using digital twin and deep learning by Mingyue Wu, Hong Zhou, Rao Yao, Shuhong Ren

“…By incorporating learnable position encoding, serial multi-head attention mechanisms, and an optimized multi-layer perceptron (MLP) structure, the model significantly enhances its ability to model time-series data and improve prediction accuracy. …”
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Attention-based deep incomplete multi-view clustering via bi-alignment guidance by Ao Li, Sanlin Mei, Fengwei Gu, Dehua Miao, Tianyu Gao

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Graph-based adaptive feature fusion neural network model for person-job fit by Xia Xue, Feilong Wang, Jingwen Wang, Bo Ma, Yuyang Yu, Shuling Gao, Jing Chen, Baoli Wang

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Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention by Jinxu Zhang, Jin Liu, Xiliang Zhang, Lai Wei, Zhongdai Wu, Junxiang Wang

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Infrared and visible image fusion network based on multistage progressive injection by Kaixuan Chang, Jianhua Huang, Xiyan Sun, Jian Luo, Shitao Bao, Huansheng Huang

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The geography of inequalities in access to healthcare across England: the role of bus travel time variability by Zihao Chen, Federico Botta

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Assessing the suitability of the Langevin equation for analyzing measured data through downsampling by Pyei Phyo Lin, Matthias Wächter, Joachim Peinke, M Reza Rahimi Tabar

“…Moreover, the discrete nature of observed physical phenomena, measured with a finite sample rate, adds another layer of complexity. In such cases, data points often appear as a series of discontinuous jumps, even when the underlying trajectory is continuous. …”
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Decoupled pixel-wise correction for abdominal multi-organ segmentation by Xiangchun Yu, Longjun Ding, Dingwen Zhang, Jianqing Wu, Miaomiao Liang, Jian Zheng, Wei Pang

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OMSF2: optimizing multi-scale feature fusion learning for pneumoconiosis staging diagnosis through data specificity augmentation by Xueting Ren, Surong Chu, Guohua Ji, Zijuan Zhao, Juanjuan Zhao, Yan Qiang, Yangyang Wei, Yan Wang

“…Notably, this paper innovatively proposes a method for fine learning of low-resolution micro-features in pneumoconiosis, addressing the issue of maintaining cross-layer gradient consistency under multi-scale feature fusion. …”
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Suitability of Blockchain for Storing Private Data from IoT Devices by Marija Cekuš, János Simon

“…Platforms like Solana, Polygon, and Stellar demonstrated effective storage capabilities on Layer 2, which introduces additional complexity and costs. …”
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Dynamic and Heterogeneous Identity-Based Cooperative Co-Evolution for Distributed Lot-Streaming Flowshop Scheduling Problem by Juan Wang, Guanghui Zhang, Xiaoling Li, Yanxiang Feng

“…In this research, a novel dynamic and heterogeneous identity based cooperative co-evolutionary algorithm (DHICCA) is proposed for addressing the distributed lot-streaming flowshop scheduling problem (DLSFSP) with the objective to minimize the makespan. A two-layer-vector representation is devised to bridge the solution space of DLSFSP and the search space of DHICCA. …”
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Lexicon-enhanced transformer with spatial-aware integration for Chinese named entity recognition by Jiachen Huang, Shuo Liu

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Progressive multi-subspace fusion for text-image matching by Haoming Wang, Li Zhu, Wentao Ma, Qian’ge Guo

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Sequence-to-point learning based on spatio-temporal attention fusion network for non-intrusive load monitoring by Shiqing Zhang, Youyao Fu, Xiaoming Zhao, Jiangxiong Fang, Yadong Liu, Xiaoli Wang, Baochang Zhang, Jun Yu

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Self-attention-based graph transformation learning for anomaly detection in multivariate time series by Qiushi Wang, Yueming Zhu, Zhicheng Sun, Dong Li, Yunbin Ma

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A study of enhanced visual perception of marine biology images based on diffusion-GAN by Feifan Yao, Huiying Zhang, Yifei Gong, Qinghua Zhang, Pan Xiao

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