Retinal blood vessel segmentation is crucial for diagnosing ocular and cardiovascular diseases.Although the introduction of U-Net in 2015 by Olaf Ronneberger significantly advanced this field,yet issues like limited t...
In this paper,the sentiment classification method of multimodal adversarial autoencoder is studied.This paper includes the introduction of the multimodal adversarial autoencoder emotion classification method and the e...
supported by the National Natural Science Foundation of China(No.62277010);the Fuzhou-Xiamen-Quanzhou National Independent Innovation Demonstration Zone Collaborative Innovation Platform Project(No.2022FX6);the Fujian Provincial Health Commission Technology Plan Project(No.2021CXA001).
Action segmentation has made significant progress,but segmenting and recognizing actions from untrimmed long videos remains a challenging problem.Most state-of-the-art methods focus on designing models based on tempor...
funded by the Science and Technology Foundation of Chongqing EducationCommission(GrantNo.KJQN202301153);the ScientificResearch Foundation of Chongqing University of Technology(Grant No.2021ZDZ025);the Postgraduate Innovation Foundation of Chongqing University of Technology(Grant No.gzlcx20243524).
In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challen...
support for this work was supported by Key Lab of Intelligent and Green Flexographic Printing under Grant ZBKT202301.
Current spatio-temporal action detection methods lack sufficient capabilities in extracting and comprehending spatio-temporal information. This paper introduces an end-to-end Adaptive Cross-Scale Fusion Encoder-Decode...
the National Natural Science Foundation of China(Grant Nos.62202004,and 62322301);the Natural Science Foundation of Anhui Province(No.2108085QF267);the University Synergy Innovation Program of Anhui Province(No.GXXT-2021-039);the Anhui University Outstanding Youth Research Project(No.2022AH020010)。
MicroRNAs(miRNAs)are closely related to numerous complex human diseases,therefore,exploring miRNA-disease associations(MDAs)can help people gain a better understanding of complex disease mechanism.An increasing number...
In this study,we employ advanced data-driven techniques to investigate the complex relationships between the yields of five major crops and various geographical and spatiotemporal features in Senegal.We analyze how th...
supported by the Shanghai Rising-Star Program(No.21QC1400200);the Natural Science Foundation of Shanghai(No.21ZR1425400);the National Natural Science Foundation of China(No.52377111).
This paper proposes a novel fault diagnosis method by fusing the information from multi-sensor signals to improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox fault diagnosis met...
supported by the National Natural Science Foundation of China(Grant Nos.62272288 and 61972451);the Shenzhen Science and Technology Program(Grant No.KQTD20200820113106007);the Shenzhen Key Laboratory of Intelligent Bioinformatic(Grant No.ZDSYS20220422103800001);the Fundamental Research Funds for the Central Universities,Shaanxi Normal University(Grant No.GK202302006)。
CircRNA-disease association(CDA)can provide a new direction for the treatment of diseases.However,traditional biological experiment is time-consuming and expensive,this urges us to propose the reliable computational m...