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Deep learning

Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems

Jiangjiang He, Weixun Chen, Jiaren Sun, Lin Zhu

Stock price dynamics prediction based on multi-scale fractals and deep learning

Yuanyuan Du, Ye Tian

SCADET: A detection framework for AI-generated artwork integrating dynamic frequency attention and contrastive spectral analysis

Xiaolong Zhang, Zekai Yu, Jianqiao Zhao

Large language models for prognostic analysis in mechanical fault diagnosis

Hao Zhang, Wei Wang, [ ... ], Jun Hu

Lightweight deep neural networks: Optimization of vehicle classification using ICBAM based on depthwise separable convolutions

Qifeng Niu, Jinhui Han, Zhen Sui, Feng Xu

Structured matching models in multimodal information fusion: An optimized Kuhn-Munkres algorithm

Qingnan Ji, Jinxia Wang, Lixian Wang

Research on partial discharge signal recognition and classification of power transformer based on acoustic-VMD and CNN-LSTM

Liang Chen, You Wen, [ ... ], Dani Chen

SMG-Net: A lightweight modular architecture for fine-grained crack segmentation in ancient wooden structures

Tianke Fang, Zhenxing Hui, [ ... ], Yuanrong He

Iterative reconstruction of industrial positron images with generative networks

Mingwei Zhu, Min Zhao, Min Yao

Deepfake defense: Combining spatial and temporal cues with CNN–BiLSTM–transformer architecture

Srijana Yadav, S. Sudheer Mangalampalli

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han, Chenxi Li, [ ... ], Jun Wang

Obscured-ensemble models for genomic prediction

Rounak Saha, Amir Morshedian, [ ... ], Mike Domaratzki

A comparative study of MLP and LSTM neural networks for shale gas production prediction based on numerical simulation data

Xiaoou Fei, Man Ye, Zhou Du, Haibin Miao

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