A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

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MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions by Wenhan Huang, Xiangfeng Zhang, Hong Jiang, Zhenfa Shao, Yu Bai

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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

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An energy management strategy for integrated electricity-thermal energy systems using the DQN-CE algorithm by ZHU Jiejie, PI Zhiyong, CHEN Daicai, TAN Hong

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Attention-enhanced corn disease diagnosis using few-shot learning and VGG16 by Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar

Subjects: “…VGG16 integrated Attention Mechanism and Prototypical Few-Shot Learning for Corn Disease Classification…”
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Improving Freedom of Visually Impaired Individuals with Innovative EfficientNet and Unified Spatial-Channel Attention: A Deep Learning-Based Road Surface Detection System by Amit Chaudhary, Prabhat Verma

Subjects: “…attention mechanism…”
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Enhancing concealed object detection in active THz security images with adaptation-YOLO by Aiguo Cheng, Shiyou Wu, Xiaodong Liu, Hangyu Lu

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PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection by Zhou Wang, Yuting Su, Feng Kang, Lijin Wang, Yaohua Lin, Qingshou Wu, Huicheng Li, Zhiling Cai

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Predicting drug and target interaction with dilated reparameterize convolution by Moping Deng, Jian Wang, Yiming Zhao, Yongjia Zhao, Hao Cao, Zhuo Wang

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Towards accurate anomaly detection for cloud system via graph-enhanced contrastive learning by Zhen Zhang, Zhe Zhu, Chen Xu, Jinyu Zhang, Shaohua Xu

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FFUNet: A novel feature fusion makes strong decoder for medical image segmentation by Junsong Xie, Renju Zhu, Zezhi Wu, Jinling Ouyang

Subjects: “…attention mechanism…”
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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

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Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

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Graph Knowledge Structure for Attentional Knowledge Tracing With Self-Supervised Learning by Zhaohui Liu, Sainan Liu, Weifeng Gu

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A composite improved attention convolutional network for motor imagery EEG classification by Wenzhe Liao, Zipeng Miao, Shuaibo Liang, Linyan Zhang, Chen Li

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Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks by BAI Yunpeng, ZHANG Zhiyan, XU Cai, GUO Chuangxin, LIU Zhuping, ZHU Wenhao

Subjects: “…renewable energy power systems|deep learning|attentional mechanism|risk assessment|risk analysis…”
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Tea disease identification based on ECA attention mechanism ResNet50 network by Lanting Li, Yingding Zhao

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An automatic cervical cell classification model based on improved DenseNet121 by Yue Zhang, Chunyu Ning, Wenjing Yang

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Lightweight attention-based SAR ship detector by YU Nanjing, FENG Daquan, ZHU Ying, ZHANG Hengjia, LU Ping

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