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A multi-scale comparison of polar vortices on Earth,Mars,Titan,and Venus
《地球与行星物理论评(中英文)》2025年第4期388-406,共19页Sheng Zheng Wu Gangyao Zhang Jie Yang Xiaohua 
国家自然科学基金资助项目(42441824,42074195)。
Although previous studies have analyzed the unique structural characteristics of the polar vortices on Earth,Venus,Mars,and Titan,the understanding of the polar vortices on Venus and Titan is primarily based on small-...
关键词：polar vortex potential vorticity comparative planetology atmospheric circulation 
Multi-Scale Vision Transformer with Dynamic Multi-Loss Function for Medical Image Retrieval and Classification
《Computers, Materials & Continua》2025年第5期2221-2244,共24页Omar Alqahtani Mohamed Ghouse Asfia Sabahath Omer Bin Hussain Arshiya Begum 
funded by the Deanship of Research and Graduate Studies at King Khalid University through small group research under grant number RGP1/278/45.
This paper introduces a novel method for medical image retrieval and classification by integrating a multi-scale encoding mechanism with Vision Transformer(ViT)architectures and a dynamic multi-loss function.The multi...
关键词：Medical image retrieval vision transformer multi-scale encoding multi-loss function ISIC-2018 ChestX-ray14 
Fake News Detection Based on Cross-Modal Ambiguity Computation and Multi-Scale Feature Fusion
《Computers, Materials & Continua》2025年第5期2659-2675,共17页Jianxiang Cao Jinyang Wu Wenqian Shang Chunhua Wang Kang Song Tong Yi Jiajun Cai Haibin Zhu 
supported by Communication University of China(HG23035);partly supported by the Fundamental Research Funds for the Central Universities(CUC230A013).
With the rapid growth of socialmedia,the spread of fake news has become a growing problem,misleading the public and causing significant harm.As social media content is often composed of both images and text,the use of...
关键词：Fake news detection MULTIMODAL cross-modal ambiguity computation multi-scale feature fusion 
Integrated multi-scale synchrotron radiation-technology studies on AlPO_(4)-coating modification mechanism in lithium-rich manganese-based cathode
《Nuclear Science and Techniques》2025年第5期30-42,共13页Zhong-Qin Dai Huan Chen Zhao-Yin Wen 
supported by the National Key R&D Program of China(No.2022YFB3807700);National Natural Science Foundation of China(Nos.U20A20248 and 52372247);Shanghai Pujiang Programme(23PJD110);Science and Technology Commission of Shanghai Municipality(No.18DZ2280800)。
Lithium-and manganese-rich(LMR)oxide cathode materials are among the most attractive candidates for next-generation energy-storage materials owing to their anomalous capacity.However,severe Mn dissolution that occurs ...
关键词：Synchrotron radiation X-ray absorption fine structure X-ray imaging Amorphous coating layer Lithium-and manganese-rich(LMR)cathode 
Multi-Scale Feature Fusion Network for Accurate Detection of Cervical Abnormal Cells
《Computers, Materials & Continua》2025年第4期559-574,共16页Chuanyun Xu Die Hu Yang Zhang Shuaiye Huang Yisha Sun Gang Li 
funded by the China Chongqing Municipal Science and Technology Bureau,grant numbers 2024TIAD-CYKJCXX0121,2024NSCQ-LZX0135;Chongqing Municipal Commission of Housing and Urban-Rural Development,grant number CKZ2024-87;the Chongqing University of Technology graduate education high-quality development project,grant number gzlsz202401;the Chongqing University of Technology-Chongqing LINGLUE Technology Co.,Ltd.,Electronic Information(Artificial Intelligence)graduate joint training base;the Postgraduate Education and Teaching Reform Research Project in Chongqing,grant number yjg213116;the Chongqing University of Technology-CISDI Chongqing Information Technology Co.,Ltd.,Computer Technology graduate joint training base.
Detecting abnormal cervical cells is crucial for early identification and timely treatment of cervical cancer.However,this task is challenging due to the morphological similarities between abnormal and normal cells an...
关键词：Cervical abnormal cells image detection multi-scale feature fusion contextual information 
CE-CDNet:A Transformer-Based Channel Optimization Approach for Change Detection in Remote Sensing
《Computers, Materials & Continua》2025年第4期803-822,共20页Jia Liu Hang Gu Fangmei Liu Hao Chen Zuhe Li Gang Xu Qidong Liu Wei Wang 
supported by Henan Province Key R&D Project(241111210400);Henan Provincial Science and Technology Research Project(242102211007 and 242102211020);Jiangsu Science and Technology Programme-General Programme(BK20221260);Science and Technology Innovation Project of Zhengzhou University of Light Industry(23XNKJTD0205).
In recent years,convolutional neural networks(CNN)and Transformer architectures have made significant progress in the field of remote sensing(RS)change detection(CD).Most of the existing methods directly stack multipl...
关键词：Remote sensing change detection attention mechanism channel optimization multi-scale feature fusion 
Coupling the Power of YOLOv9 with Transformer for Small Object Detection in Remote-Sensing Images
《Computer Modeling in Engineering & Sciences》2025年第4期593-616,共24页Mohammad Barr 
Recent years have seen a surge in interest in object detection on remote sensing images for applications such as surveillance andmanagement.However,challenges like small object detection,scale variation,and the presen...
关键词：Remote sensing images YOLOv9-TH multi-scale object detection transformer heads VisDrone2021 dataset 
Multi-scale Numerical Simulations for Crack Propagation in NiTi Shape Memory Alloys by Molecular Dynamics-based Cohesive Zone Model
《Journal of Wuhan University of Technology(Materials Science)》2025年第2期599-609,共11页LI Yunfei WANG Yuancen HE Qinshu 
Funded by the National Natural Science Foundation of China Academy of Engineering Physics and Jointly Setup"NSAF"Joint Fund(No.U1430119)。
The multi-scale modeling combined with the cohesive zone model(CZM)and the molecular dynamics(MD)method were preformed to simulate the crack propagation in NiTi shape memory alloys(SMAs).The metallographic microscope ...
关键词：NiTi shape memory alloys multi-scale numerical simulation crack propagation the cohesive zone model molecular dynamics simulation 
Multi-scale feature fusion optical remote sensing target detection method
《Optoelectronics Letters》2025年第4期226-233,共8页BAI Liang DING Xuewen LIU Ying CHANG Limei 
supported by the National Natural Science Foundation of China(No.62241109);the Tianjin Science and Technology Commissioner Project(No.20YDTPJC01110)。
An improved model based on you only look once version 8(YOLOv8)is proposed to solve the problem of low detection accuracy due to the diversity of object sizes in optical remote sensing images.Firstly,the feature pyram...
关键词：multi scale feature fusion optical remote sensing feature map improve target detection ability optical remote sensing imagesfirstlythe target detection feature fusionto enrich semantic information spatial information 
Spatiotemporal influence of driving factors on water conservation in underdeveloped plateau regions: a case in the Yellow River Basin of Sichuan, China
《Journal of Mountain Science》2025年第4期1289-1305,共17页WANG Xuan MA Lei LU Heng LIU Chao NIE Ruihua LI Naiwen TAN Xiao YANG Zhengli 
supported by the funding provided by the State Key Laboratory of Hydraulics and Mountain River Engineering(SKHL2210);National Natural Science Foundation of China(42171304);the Sichuan Science and Technology Program(2023YFS0380);Natural Science Foundation of Jiangsu Province of China(BK20242018)。
The Yellow River Basin in Sichuan Province(YRS)is undergoing severe soil erosion and exacerbated ecological vulnerability,which collectively pose formidable challenges for regional water conservation(WC)and sustainabl...
关键词：Water conservation Multi-scale Geographically Weighted Regression Geographically and Temporally Weighted Regression The Yellow River Basin in Sichuan Province Spatiotemporal variation 
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