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A Lightweight Convolutional Neural Network with Squeeze and Excitation Module for Security Authentication Using Wireless Channel: 《Computers, Materials & Continua》2025年第5期2025-2040,共16页Xiaoying Qiu Xiaoyu Ma Guangxu Zhao Jinwei Yu Wenbao Jiang Zhaozhong Guo Maozhi Xu; supported in part by the National Key R&D Program of China under grant no.2022YFB2703000;in part by the Young Backbone Teachers Support Plan of BISTU under grant no.YBT202437;in part by the R&D Program of Beijing Municipal Education Commission under grant no.KM202211232012;in part by the Educational Innovation Program of BISTU under grant no.2025JGYB19。; Physical layer authentication(PLA)in the context of the Internet of Things(IoT)has gained significant attention.Compared with traditional encryption and blockchain technologies,PLA provides a more computationally effi...; 关键词：Physical layer authentication blockchain squeeze and excitation module computational cost mobile scenario

An Improved Lightweight Safety Helmet Detection Algorithm for YOLOv8: 《Computers, Materials & Continua》2025年第5期2245-2265,共21页Lieping Zhang Hao Ma Jiancheng Huang Cui Zhang Xiaolin Gao; funded by National Natural Science Foundation of China(61741303);the Foundation Project of Guangxi Key Laboratory of Spatial Information andMapping(No.21-238-21-16).; Detecting individuals wearing safety helmets in complex environments faces several challenges.These factors include limited detection accuracy and frequent missed or false detections.Additionally,existing algorithms o...; 关键词：YOLO safety helmet detection complex environments LIGHTWEIGHT WIoU loss function

China needs to take multifaceted approach to promoting the development of lightweight Al while mitigating risks: 《China Weekly》2025年第4期1-1,共1页; For years,the development and de-ployment of advanced AI models were dominated by a few tech giants and well-funded institutions.The exorbitant costs of training and running these models have reate a high bar-rier to ...; 关键词：deepseek r lightweight al tech giants advanced ai barrier entry elite research labs reducing operational costs operational costs

Coarse-to-fine lightweight meta-embedding for ID-based recommendations: 《Science China(Information Sciences)》2025年第4期78-93,共16页Yang WANG Haipeng LIU Zeqian YI Biao QIAN Meng WANG; supported in part by Research Projects of National Natural Science Foundation of China(Grant Nos.U21A20470,62172136,72188101);Institute of Advanced Medicine and Frontier Technology(Grant No.2023IHM01080)。; State-of-the-art recommender systems are increasingly focused on optimizing implementation efficiency,such as enabling on-device recommendations under memory constraints.Current methods commonly use lightweight embedd...; 关键词：lightweight meta-embedding coarse-to-fine learning ID-based recommendations

Enhanced Detection of APT Vector Lateral Movement in Organizational Networks Using Lightweight Machine Learning: 《Computers, Materials & Continua》2025年第4期281-308,共28页Mathew Nicho Oluwasegun Adelaiye Christopher D.McDermott Shini Girija; Rabdan Academy for funding the research presented in the paper.; The successful penetration of government,corporate,and organizational IT systems by state and non-state actors deploying APT vectors continues at an alarming pace.Advanced Persistent Threat(APT)attacks continue to pos...; 关键词：Intrusion detection lateral movement machine learning advanced persistent threats

LMSA:A Lightweight Multi-Key Secure Aggregation Framework for Privacy-Preserving Healthcare AIoT: 《Computer Modeling in Engineering & Sciences》2025年第4期827-847,共21页Hyunwoo Park Jaedong Lee; supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2022R1C1C2012463).; Integrating Artificial Intelligence of Things(AIoT)in healthcare offers transformative potential for real-time diagnostics and collaborative learning but presents critical challenges,including privacy preservation,com...; 关键词：Secure aggregation LIGHTWEIGHT federated learning

YOLO-based lightweight traffic sign detection algorithm and mobile deployment: 《Optoelectronics Letters》2025年第4期249-256,共8页WU Yaqin ZHANG Tao NIU Jianjun CHANG Yan LIU Ganjun; supported by the Shanxi Agricultural University Science and Technology Innovation Enhancement Project。; This paper proposes a lightweight traffic sign detection system based on you only look once(YOLO).Firstly,the classification to fusion(C2f)structure is integrated into the backbone network,employing deformable convolu...; 关键词：c f layer simple attention module simam reduce complexity traffic sign detection prioritize key features backbone networkemploying classification backbone networknextthe

Bending Crashworthiness of Thin⁃Walled Square Tubes Partially Filled with Metallic Foams: 《Journal of Harbin Institute of Technology(New Series)》2025年第2期24-37,共14页Zhongyou Xie Limin Guo Cheng Li Jianwen Cai; Sponsored by National Natural Science Foundation of China(Grant Nos.12272064 and 12101086);University Natural Science Research Project of Anhui Province(Grant No.KJ2018A0481);Major Project of Basic Science(Natural Science)Research in Jiangsu Universities(Grant Nos.22KJA460001,23KJA580001);Changzhou Science and Technology Plan Project(Grant No.CE20235049);and Changzhou Leading Innovative Talents Cultivation Project(Grant No.CQ20220092)。; Two cross⁃sectional configurations of thin⁃walled square tubes partially filled with lightweight metallic foams are proposed,and termed as double⁃cell configuration partially filled with foam(DC⁃PF)and double⁃tube con...; 关键词：thin⁃walled tube lightweight foam bending crashworthiness energy absorption finite element analysis

Lightweight Classroom Student Action Recognition Method Based on Spatiotemporal Multimodal Feature Fusion: 《Computers, Materials & Continua》2025年第4期1101-1116,共16页Shaodong Zou Di Wu Jianhou Gan Juxiang Zhou Jiatian Mei; supported by the National Natural Science Foundation of China under Grant 62107034;the Major Science and Technology Project of Yunnan Province(202402AD080002);Yunnan International Joint R&D Center of China-Laos-Thailand Educational Digitalization(202203AP140006).; The task of student action recognition in the classroom is to precisely capture and analyze the actions of students in classroom videos,providing a foundation for realizing intelligent and accurate teaching.However,th...; 关键词：Action recognition student classroom action multimodal fusion lightweight model design

Efficient and lightweight 3D building reconstruction from drone imagery using sparse line and point clouds: 《虚拟现实与智能硬件(中英文)》2025年第2期111-126,共16页Xiongjie YIN Jinquan HE Zhanglin CHENG; Supported by the Guangdong Major Project of Basic and Applied Basic Research(2023B0303000016),and the National Natural Science Foundation of China(U21A20515).; Efficient three-dimensional(3D)building reconstruction from drone imagery often faces data acquisition,storage,and computational challenges because of its reliance on dense point clouds.In this study,we introduced a n...; 关键词：3D reconstruction Line clouds Sparse clouds Lightweight models

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