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Neuromodulation techniques for modulating cognitive function:Enhancing stimulation precision and intervention effects
《Neural Regeneration Research》2026年第2期491-501,共11页Hanwen Cao Li Shang Deheng Hu Jianbing Huang Yu Wang Ming Li Yilin Song Qianzi Yang Yan Luo Ying Wang Xinxia Cai Juntao Liu 
supported by STI 2030-Major Projects,No.2021ZD0201603(to JL);the Joint Foundation Program of the Chinese Academy of Sciences,No.8091A170201(to JL);the National Natural Science Foundation of China,Nos.T2293730(to XC),T2293731(to XC),T2293734(to XC),62471291(to YW),62121003(to XC),61960206012(to XC),62333020(to XC),and 62171434(to XC);the National Key Research and Development Program of China,Nos.2022YFC2402501(to XC),2022YFB3205602(to XC).
Neuromodulation techniques effectively intervene in cognitive function,holding considerable scientific and practical value in fields such as aerospace,medicine,life sciences,and brain research.These techniques utilize...
关键词：acupuncture points ATTENTION brain COGNITION efficiency electrical stimulation MICROELECTRODES movement disorders nervous system PERCEPTION 
Impacts of government attention on achieving Sustainable Development Goals:Evidence from China
《Geography and Sustainability》2025年第2期181-193,共13页Chenggang Li Ziling Chen Qutu Jiang Mu Yue Liang Wu Youhui Bao Bei Huang Alexander Boxuan Wang Yuanyuan Tan Zhenci Xu 
supported by Guizhou Province Major Science and Technology Achievement Transformation Project(QKHCG[2024]ZD016);the Excellent Young Scientists Fund from the National Natural Science Foundation of China(Grant No.42422105);Guizhou Province Natural Science Research Project(Qian Jiao Ji[2023]No.033);Provincial Science and Technology Program of Guizhou Province(Grant No.20201Y288).
The Sustainable Development Goals(SDGs)are crucial in tackling the sustainability challenges and emerging issues faced by humanity,with government attention being a significant factor in promoting their successful ach...
关键词：Government attention Sustainable development Coupling coordination Text analysis Financial investment SDG 
A Transformer Based on Feedback Attention Mechanism for Diagnosis of Coronary Heart Disease Using Echocardiographic Images
《Computers, Materials & Continua》2025年第5期3435-3450,共16页Chunlai Du Xin Gu Yanhui Guo Siqi Guo Ziwei Pang Yi Du Guoqing Du 
supported by the National Natural Science Foundation of China(82071948,82472003);Discovery Partners Institute and Shield of Illinois,Guangdong Natural Science Foundation(2022A1515011675);the Scientific Research Fund for Hundred Talents Program Talent Introduction of Sun Yat-sen University(1320323001).
Coronary artery disease is a highly lethal cardiovascular condition,making early diagnosis crucial for patients.Echocardiograph is employed to identify coronary heart disease(CHD).However,due to issues such as fuzzy o...
关键词：Computer-aided diagnosis(CAD) TRANSFORMER coronary heart disease feedback self-attention mechanism 
HyTiFRec:Hybrid Time-Frequency Dual-Branch Transformer for Sequential Recommendation
《Computers, Materials & Continua》2025年第5期1753-1769,共17页Dawei Qiu Peng Wu Xiaoming Zhang Renjie Xu 
supported by a grant from the Natural Science Foundation of Zhejiang Province under Grant LY21F010016.
Recently,many Sequential Recommendation methods adopt self-attention mechanisms to model user preferences.However,these methods tend to focus more on low-frequency information while neglecting highfrequency informatio...
关键词：Sequential recommendation frequency domain efficient attention 
Robust Detection for Fisheye Camera Based on Contrastive Learning
《Computers, Materials & Continua》2025年第5期2643-2658,共16页Junzhe Zhang Lei Tang Xin Zhou 
Fisheye cameras offer a significantly larger field of view compared to conventional cameras,making them valuable tools in the field of computer vision.However,their unique optical characteristics often lead to image d...
关键词：FISHEYE contrastive learning Yolov8 ATTENTION 
基于深度学习模型的空中目标航迹预测算法的研究
《科学技术创新》2025年第10期9-13,共5页王晶 段衍安 蒋明 
现有的武器系统中对目标航迹的预测通常都是基于常用的目标假定模型下进行状态估计和数据关联的。随着现代战场空中目标的机动性越来越强的特点,目标假定模型已很难适应目标运动的航迹特点,这就导致传统的目标航迹预测算法无法描绘目标...
关键词：深度学习 Cross Attention GRU 航迹预测 MAE 
TransSSA: Invariant Cue Perceptual Feature Focused Learning for Dynamic Fruit Target Detection
《Computers, Materials & Continua》2025年第5期2829-2850,共22页Jianyin Tang Zhenglin Yu Changshun Shao 
supported in part by the Basic Research Project of Science and Technology Department of Jilin Province,China(Grant No.202002044JC).
In the field of automated fruit harvesting,precise and efficient fruit target recognition and localization play a pivotal role in enhancing the efficiency of harvesting robots.However,this domain faces two core challe...
关键词：Fruit recognition invariant features TransSSA model swin transformer self-attention mechanism 
TMRE:Novel Algorithm for Computing Daily Reference Evapotranspiration Using Transformer-Based Models
《Computers, Materials & Continua》2025年第5期2851-2864,共14页Bushra Tayyaba Muhammad Usman Ghani Khan Talha Waheed Shaha Al-Otaibi Tanzila Saba 
funded by Princess Nourah bint Abdulrahman University and Researchers Supporting Project number(PNURSP2024R136),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
Reference Evapotranspiration(ETo)iswidely used to assess totalwater loss between land and atmosphere due to its importance in maintaining the atmospheric water balance,especially in agricultural and environmental mana...
关键词：Reference evapotranspiration ETo TRANSFORMER INFORMER autoformer FEDformer timeseries forecasting self-attention 
Deep Learning Algorithm for Person Re-Identification Based on Dual Network Architecture
《Computers, Materials & Continua》2025年第5期2889-2905,共17页Meng Zhu Xingyue Wang Honge Ren Abeer Hakeem Linda Mohaisen 
supported by the Young Doctoral Research Initiation Fund Project of Harbin University“Research on Wood Recognition Methods Based on Deep Learning Fusion Model”(Project no.HUDF2022110);the Self-Funded Project of Harbin Science and Technology Plan“Research on Computer Vision Recognition Technology of Wood Species Based on Transfer Learning FusionModel”(Project no.ZC2022ZJ010027);the Fundamental Research Funds for the Central Universities(2572017PZ10).
Changing a person’s posture and low resolution are the key challenges for person re-identification(ReID)in various deep learning applications.In this paper,we introduce an innovative architecture using a dual attenti...
关键词：Person reidentification ReID computer vision self-attention spatial-temporal information 
An Attention-Based CNN Framework for Alzheimer’s Disease Staging with Multi-Technique XAI Visualization
《Computers, Materials & Continua》2025年第5期2947-2969,共23页Mustafa Lateef Fadhil Jumaili Emrullah Sonuç 
Alzheimer’s disease(AD)is a significant challenge in modern healthcare,with early detection and accurate staging remaining critical priorities for effective intervention.While Deep Learning(DL)approaches have shown p...
关键词：Alzheimer’s disease deep learning early disease detection XAI medical image classification 
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