Research and implementation of text classification method for customer service orders based on multi-model fusion by Liang ZHANG, Xiaoju DAI, Rong ZHENG, Tongze He

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Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning by Junlong Wu, Liqi Xiao, Liu Fan, Lei Wang, Xianyou Zhu, Xianyou Zhu

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Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features by Fan Liu, Fang Wang, Zaiqi Zhang, Liang Cao, Jinran Wu, You-Gan Wang

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A hybrid CNN-Bi-LSTM model with feature fusion for accurate epilepsy seizure detection by Xiaoshuai Cao, Shaojie Zheng, Jincan Zhang, Wenna Chen, Ganqin Du

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Automatic Tracking Method of Basketball Flight Trajectory Based on Data Fusion and Sparse Representation Model by Cuiping Cao, Hai Yu, Yun Liu

“…The appearance model of flying basketball obtained by the traditional basketball flight trajectory tracking method is not accurate, which leads the anti-interference performance of trajectory tracking not ideal. Based on data fusion and sparse representation model, a new automatic trajectory tracking method is proposed. …”
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SFDA-MEF: An Unsupervised Spacecraft Feature Deformable Alignment Network for Multi-Exposure Image Fusion by Qianwen Xiong, Xiaoyuan Ren, Huanyu Yin, Libing Jiang, Canyu Wang, Zhuang Wang

Subjects: “…multi-exposure image fusion…”
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Spatiotemporal air quality prediction using stochastic advection–diffusion model for multimodal data fusion by Byeongseong Choi, Michelle A Hummel

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Biomineralized PEEK cages containing osteoinductive CaP bioceramics promote spinal fusion in goats by Qiujiang Li, Bowen Hu, Linan Wang, Lei Wang, Cong Feng, Zhuang Zhang, Zhipeng Deng, Yang Xiao, Bo Yuan, Xiangdong Zhu, Xiangfeng Li, Xi Yang, Yueming Song, Xingdong Zhang

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Study on the Extraction of Urban Water Systen and River Basin Based on Multiple-source DEM Fusion by LIU Jiajia, ZHOU Zuhao, LIU Lin, LU Bin, DAI Dongchen, ZHU Jiasong, YAN Ziqi

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Deacetylated SNAP47 recruits HOPS to facilitate autophagosome-lysosome fusion independent of STX17 by Fenglei Jian, Shen Wang, Wenmin Tian, Yang Chen, Shixuan Wang, Yan Li, Cong Ma, Yueguang Rong

“…Abstract Autophagy, a conserved catabolic process implicated in a diverse array of human diseases, requires efficient fusion between autophagosomes and lysosomes to function effectively. …”
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Behavior Anomaly Detection Based on Multi-modal Feature Fusion and Its Application in English Teaching by Lei Kan, Man Wang

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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…Secondly, we applied a multi-view feature fusion (MVFF) strategy to extract and explore probability and category information embedded in TIPs, employing several machine learning (ML) algorithms coupled with different commonly used sequence-based feature encodings. …”
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Fusion Model Using Resting Neurophysiological Data to Help Mass Screening of Methamphetamine Use Disorder by Chun-Chuan Chen, Meng-Chang Tsai, Eric Hsiao-Kuang Wu, Shao-Rong Sheng, Jia-Jeng Lee, Yung-En Lu, Shih-Ching Yeh

“…Forty-six patients with MUD and 26 healthy controls were recruited and machine learning methods were employed to systematically compare the classification results of different fusion models. The analytic results revealed that the fusion of HRV and GSR features leads to the most accurate separation rate of 79%. …”
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Impact of trapping on tritium self-sufficiency and tritium inventories in fusion power plant fuel cycles by Samuele Meschini, Rémi Delaporte-Mathurin, George R. Tynan, Sara E. Ferry

“…Nuclear Fusion…”
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Simulation Study of Sensitivity Performance of MEMS Capacitive Bending Strain Sensor for Spinal Fusion Monitoring by Muhammad Irsyad Abdul Mokti, Inzarulfaisham Abd Rahim

“…This study evaluates the sensitivity of microelectromechanical system (MEMS) capacitive bending strain sensor with a double layer cantilever designed to meet the requirements of spinal fusion monitoring. The cantilever structure of the sensor consists of two parallel substrate plates which constitute the electrodes, attached to an anchor made of silicon dioxide. …”
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Study of forecasting urban private car volumes based on multi-source heterogeneous data fusion by Chenxi LIU, Dong WANG, Huiling CHEN, Renfa LI

“…By effectively capturing the spatio-temporal characteristics of urban private car travel, a multi-source heterogeneous data fusion model for private car volume prediction was proposed.Firstly, private car trajectory and area-of-interest data were integrated.Secondly, the spatio-temporal correlations between private car travel and urban areas were modeled through multi-view spatio-temporal graphs, the multi-graph convolution-attention network (MGC-AN) was proposed to extract the spatio-temporal characteristics of private car travel.Finally, the spatio-temporal characteristics and external characteristics such as weather were integrated for joint prediction.Experiments were conducted on real datasets, which were collected in Changsha and Shenzhen.The experimental results show that, compared with the existing prediction model, the root mean square error of the MGC-AN is reduced 11.3%～20.3%, and the average absolute percentage error is reduced 10.8%～36.1%.…”
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Prolonged Airway Obstruction after Posterior Occipitocervical Fusion: A Case Report and Literature Review by Masahiro Morita, Masuhiro Nobuta, Hirotsune Naruse, Hiroaki Nakamura

“…A 49-year-old man presented severe neck pain during posture changes due to metastatic spinal tumor of C2. Occipitocervical fusion following removal of the posterior arch of C1 and laminectomy of C2 via the single posterior approach was performed 2 weeks after radiation therapy. …”
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Fusion-Based Damage Segmentation for Multimodal Building Façade Images from an End-to-End Perspective by Pujin Wang, Jiehui Wang, Qiong Liu, Lin Fang, Jie Xiao

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Multilevel Attention and Multiscale Feature Fusion Network for Author Classification of Chinese Ink-Wash Paintings by Wei Jiang, Xianglian Meng, Ji Xi

“…In this paper, a novel model based on multi-level attention and multi-scale feature fusion is proposed. The model extracts three types of feature maps from the low-level, middle-level and high-level layers of the pretrained deep neural network firstly. …”
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Multi-Feature Driver Variable Fusion Downscaling TROPOMI Solar-Induced Chlorophyll Fluorescence Approach by Jinrui Fan, Xiaoping Lu, Guosheng Cai, Zhengfang Lou, Jing Wen

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