MULTI-LEVEL

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MLRT-UNet:An Efficient Multi-Level Relation Transformer Based U-Net for Thyroid Nodule Segmentation
《Computer Modeling in Engineering & Sciences》2025年第4期413-448,共36页Kaku Haribabu Prasath R Praveen Joe IR 
Thyroid nodules,a common disorder in the endocrine system,require accurate segmentation in ultrasound images for effective diagnosis and treatment.However,achieving precise segmentation remains a challenge due to vari...
关键词：Thyroid nodules endocrine system multi-level relation transformer U-Net self-attention external attention co-operative transformer fusion thyroid nodules segmentation 
A robust method for large-scale route optimization on lunar surface utilizing a multi-level map model
《Chinese Journal of Aeronautics》2025年第3期134-150,共17页Yutong JIA Shengnan ZHANG Bin LIU Kaichang DI Bin XIE Jing NAN Chenxu ZHAO Gang WAN 
co-supported by the National Key Research and Development Program of China(No.2022YFF0503100);the Youth Innovation Project of Pandeng Program of National Space Science Center,Chinese Academy of Sciences(No.E3PD40012S).
As we look ahead to future lunar exploration missions, such as crewed lunar exploration and establishing lunar scientific research stations, the lunar rovers will need to cover vast distances. These distances could ra...
关键词：Crewed lunar exploration Long-range path planningi Multi-level map Deep learning Volcanic activities 
Graph Similarity Learning Based on Learnable Augmentation and Multi-Level Contrastive Learning
《Computers, Materials & Continua》2025年第3期5135-5151,共17页Jian Feng Yifan Guo Cailing Du 
Graph similarity learning aims to calculate the similarity between pairs of graphs.Existing unsupervised graph similarity learning methods based on contrastive learning encounter challenges related to random graph aug...
关键词：Graph similarity learning contrastive learning attributes STRUCTURE 
Unsupervised multiplex graph diffusion networks with multi-level canonical correlation analysis for multiplex graph representation learning
《Science China(Information Sciences)》2025年第3期62-75,共14页Sichao FU Qinmu PENG Yange HE Baokun DU Bin ZOU Xiao-Yuan JING Xinge YOU 
supported in part by National Key Research and Development Program of China(Grant No.2022YFF0712300);National Natural Science Foundation of China(Grant No.62172177);Knowledge Innovation Program of Wuhan-Shuguang;Fundamental Research Funds for the Central Universities(HUST)(Grant No.2022JYCXJJ034);Open Research Fund from Shandong Provincial Key Laboratory of Computer Network(Grant No.SKLCN-2021-02)。
In recent years,unsupervised multiplex graph representation learning(UMGRL)has received increasing research interest,which aims to learn discriminative node features from the multiplex graphs supervised by data withou...
关键词：unsupervised multiplex graph representation learning graph neural networks node classification node clustering 
Dynamic Write-Voltage Design and Read-Voltage Optimization for MLC NAND Flash Memory
《China Communications》2024年第12期297-308,共12页Cai Runbin Fang Yi Shi Zhifang Dai Lin Han Guojun 
supported in part by the NSF of China under Grants 62322106,62071131,U2001203,61871136;the Guangdong Basic and Applied Basic Research Foundation under Grant 2022B1515020086;the International Collaborative Research Program of Guangdong Science and Technology Department under Grant 2022A0505050070;the Industrial R&D Project of Haoyang Electronic Co.,Ltd.under Grant 2022440002001494.
To mitigate the impact of noise and inter-ference on multi-level-cell(MLC)flash memory with the use of low-density parity-check(LDPC)codes,we propose a dynamic write-voltage design scheme con-sidering the asymmetric p...
关键词：error correction coding multi-level-cell(MLC) NAND flash memory read voltage write voltage 
Development of a multi-level pH-responsive lipid nanoplatform for efficient co-delivery of si RNA and small-molecule drugs in tumor treatment
《Chinese Chemical Letters》2024年第12期265-272,共8页Yunjie Dang Yanru Feng Xiao Chen Chaoxing He Shujie Wei Dingyang Liu Jinlong Qi Huaxing Zhang Shaokun Yang Zhiyun Niu Bai Xiang 
supported by the grants from the National Natural Science Foundation of China(Nos.81973251 and 81302725);Hebei Province Funding Project for Introduced Overseas Personnel(Nos.C20230351 and C20220345);Key Research and Development Program of Hebei Province(No.22372701D);Hebei Province Natural Science Fund(No.H2020206610);Hebei Provincial Health Commission Government-Funded Clinical Medicine Talent Program(No.ZF2024048);Hebei Medical University Undergraduate Innovative Experiment Program(No.USIP2023008)。
The combination of nucleic acid and small-molecule drugs in tumor treatment holds significant promise;however,the precise delivery and controlled release of drugs within the cytoplasm encounter substantial obstacles,i...
关键词：Cyclic peptides siRNA Liposomal platform Multi-level pH-responsive CO-DELIVERY 
An RFCSO-based grid stability enhancement by integrating solar photovoltaic systems with multilevel unified power flow controllers
《Energy Storage and Saving》2024年第4期341-351,共11页Swetha Monica Indukuri Alok Kumar Singh D.Vijaya Kumar 
Multilevel unified power flow controllers(ML-UPFCs)aim to improve grid stability,power quality,and fault management.This approach is particularly beneficial for renewable energy systems connected to a grid,where effic...
关键词：Solar photovoltaic systems Multi-level unified power flow controller Random forest optimization Cuckoo search optimization Advanced control strategies Grid stability Power quality 
GFDet:Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images
《Big Data Mining and Analytics》2024年第4期1362-1374,共13页Nan Gao Yukai Li Peng Chen Jijun Tang Tianshuang Liu 
supported by the Zhejiang Provincial Natural Science Foundation of China(No.LGF22F020014);the National Key Research and Development Program of China(No.2020YFB1707700);the National Natural Science Foundation of China(Nos.62036009 and U1909203).
Early dental caries detection by endoscope can prevent complications,such as pulpitis and apical infection.However,automatically identifying dental caries remains challenging due to the uncertainty in size,contrast,lo...
关键词：caries detection feature fusion label assignment object feature enhancement channel attention 
Weather Classification for Autonomous Vehicles under Adverse Conditions Using Multi-Level Knowledge Distillation
《Computers, Materials & Continua》2024年第12期4327-4347,共21页Parthasarathi Manivannan Palaniyappan Sathyaprakash Vaithiyashankar Jayakumar Jayakumar Chandrasekaran Bragadeesh Srinivasan Ananthanarayanan Md Shohel Sayeed 
Achieving reliable and efficient weather classification for autonomous vehicles is crucial for ensuring safety and operational effectiveness.However,accurately classifying diverse and complex weather conditions remain...
关键词：EfficientNetV2B3 multi-level knowledge distillation RestNet50V2 weather classification 
EGSNet:An Efficient Glass Segmentation Network Based on Multi-Level Heterogeneous Architecture and Boundary Awareness
《Computers, Materials & Continua》2024年第12期3969-3987,共19页Guojun Chen Tao Cui Yongjie Hou Huihui Li 
Existing glass segmentation networks have high computational complexity and large memory occupation,leading to high hardware requirements and time overheads for model inference,which is not conducive to efficiency-see...
关键词：Image segmentation multi-level heterogeneous architecture feature differences 
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