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An Improved Knowledge Distillation Algorithm and Its Application to Object Detection
《Computers, Materials & Continua》2025年第5期2189-2205,共17页Min Yao Guofeng Liu Yaozu Zhang Guangjie Hu 
funded by National Natural Science Foundation of China(61603245).
Knowledge distillation(KD)is an emerging model compression technique for learning compact object detector models.Previous KD often focused solely on distilling from the logits layer or the feature intermediate layers,...
关键词：Deep learning model compression knowledge distillation object detection 
An Adaptive Cooperated Shuffled Frog-Leaping Algorithm for Parallel Batch Processing Machines Scheduling in Fabric Dyeing Processes
《Computers, Materials & Continua》2025年第5期1771-1789,共19页Lianqiang Wu Deming Lei Yutong Cai 
Fabric dyeing is a critical production process in the clothing industry and heavily relies on batch processing machines(BPM).In this study,the parallel BPM scheduling problem with machine eligibility in fabric dyeing ...
关键词：Batch processing machine parallel machine scheduling shuffled frog-leaping algorithm fabric dyeing process machine eligibility 
A Tolerant and Energy Optimization Approach for Internet of Things to Enhance the QoS Using Adaptive Blended Marine Predators Algorithm
《Computers, Materials & Continua》2025年第5期2449-2479,共31页Vijaya Krishna Akula Tan Kuan Tak Pravin Ramdas Kshirsagar Shrikant Vijayrao Sonekar Gopichand Ginnela 
The rapid expansion of Internet of Things(IoT)networks has introduced challenges in network management,primarily in maintaining energy efficiency and robust connectivity across an increasing array of devices.This pape...
关键词：Internet of things trust energy marine predators algorithm(MPA) differential evolution(DE) NODES throughput lifetime 
A Deep Learning-Based Salient Feature-Preserving Algorithm for Mesh Simplification
《Computers, Materials & Continua》2025年第5期2865-2888,共24页Jiming Lan Bo Zeng Suiqun Li Weihan Zhang Xinyi Shi 
Our research was funded by the Sichuan Key Provincial Research Base of Intelligent Tourism(No.ZHZJ23-02);supported by the Scientific Research and Innovation Team Program of Sichuan University of Science and Engineering(No.SUSE652A006);Additional support was provided by the National Cultural and Tourism Science and Technology Innovation Research andDevelopment Project(No.202417);the Lantern Culture and Crafts Innovation Key Laboratory Project of the Sichuan ProvincialDepartment of Culture and Tourism(No.SCWLCD-A02).
The Quadric Error Metrics(QEM)algorithm is a widely used method for mesh simplification;however,it often struggles to preserve high-frequency geometric details,leading to the loss of salient features.To address this l...
关键词：Deep learning mesh simplification quadric error metrics(QEM) salient feature preservation point sampling 
DAFPN-YOLO: An Improved UAV-Based Object Detection Algorithm Based on YOLOv8s
《Computers, Materials & Continua》2025年第5期1929-1949,共21页Honglin Wang Yaolong Zhang Cheng Zhu 
supported by the National Natural Science Foundation of China(Grant Nos.62101275 and 62101274).
UAV-based object detection is rapidly expanding in both civilian and military applications,including security surveillance,disaster assessment,and border patrol.However,challenges such as small objects,occlusions,comp...
关键词：YOLOv8 UAV-based object detection AFPN small-object detection head SPPELAN DualConv loss function 
A novel heuristic pathfinding algorithm for 3D security modeling and vulnerability assessment
《Nuclear Science and Techniques》2025年第5期152-166,共15页Jun Yang Yue-Ming Hong Yu-Ming Lv Hao-Ming Ma Wen-Lin Wang 
supported by the fundings from 2024 Young Talents Program for Science and Technology Thinking Tanks(No.XMSB20240711041);2024 Student Research Program on Dynamic Simulation and Force-on-Force Exercise of Nuclear Security in 3D Interactive Environment Using Reinforcement Learning,Natural Science Foundation of Top Talent of SZTU(No.GDRC202407);Shenzhen Science and Technology Program(No.KCXFZ20240903092603005);Shenzhen Science and Technology Program(No.JCYJ20241202124703004);Shenzhen Science and Technology Program(No.KJZD20230923114117032)。
Vulnerability assessment is a systematic process to identify security gaps in the design and evaluation of physical protection systems.Adversarial path planning is a widely used method for identifying potential vulner...
关键词：Physical protection system 3D modeling and simulation Vulnerability assessment A^(*)Heuristic Pathfinding Dijkstra algorithm 
Algorithm and Application in Vehicle Routing Problem: A Review
《Journal of Electronic Research and Application》2025年第2期166-174,共9页Zhenyu Chen 
This paper systematically reviews the latest research developments in Vehicle Routing Problems(VRP).It examines classical VRP models and their classifications across different dimensions,including load capacity,operat...
关键词：Vehicle routing problem VRP Delivery route optimization Logistics planning 
Guided Wave Based Composite Structural Fatigue Damage Monitoring Utilizing the WOA-BP Neural Network
《Computers, Materials & Continua》2025年第4期455-473,共19页Borui Wang Dongyue Gao Haiyang Gu Mengke Ding Zhanjun Wu 
funded by the Key Program of the National Natural Science Foundation of China(U2341235);Youth Fund for Basic Research Program of Jiangnan University(JUSRP123003);Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX23_1237);the National Key R&D Program of China(2018YFA0702800);Key Technologies R&D Program of CNBM(2023SJYL01).
Fatigue damage is a primary contributor to the failure of composite structures,underscoring the critical importance of monitoring its progression to ensure structural safety.This paper introduces an innovative approac...
关键词：Structural health monitoring ultrasonic guided wave composite structural fatigue damage monitoring WOA-BP neural network relief-F algorithm 
Maximization of k-Submodular Function with d-Knapsack Constraints Over Sliding Window
《Tsinghua Science and Technology》2025年第2期488-498,共11页Wenqi Wang Yuefang Sun Zhiren Sun Donglei Du Xiaoyan Zhang 
supported by the National Natural Science Foundation of China(Nos.12271259 and 12371352);the Zhejiang Provincial Natural Science Foundation of China(No.LY23A010011);the Yongjiang Talent Introduction Programme of Ningbo(No.2021B-011-G);the Natural Sciences and Engineering Research Council of Canada(NSERC)(No.06446).
Submodular function maximization problem has been extensively studied recently.A natural variant of submodular function is k-submodular function,which has many applications in real life,such as influence maximization ...
关键词：k-submodular function d-knapsack constraints sliding window streaming algorithm approximation algorithm 
Observation and Assessment of Heat Transfer Coefficient of Thermal Discharge for Coastal Nuclear Power Plants
《Journal of Ocean University of China》2025年第2期281-288,共8页ZHU Qichao HUANG Chuanjiang XIA Yuzhuo YANG Ying GUO Jingsong XIA Changshui QIAO Fangli 
supported by the Laoshan Laboratory(No.LSKJ202201600);the National Natural Science Foundation of China(No.41821004)。
The heat transfer coefficient of the water surface is an important parameter in the design of thermal discharge in nuclear power plant engineering.In this study,in situ observations were performed in the northwestern ...
关键词：heat transfer coefficient thermal discharge sea-air heat flux temperature rise nuclear power plant COARE algorithm 
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