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Article
Open AccessAn offset calibration scheme for on-chip thermal profiling with differential temperature sensors
This paper introduces an on-chip analog calibration method tailored for differential temperature sensors in thermal monitoring applications. A three-step calibration process is proposed within a two-stage high...
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Article
An efficient surrogate-assisted Taguchi salp swarm algorithm and its application for intrusion detection
The meta-heuristic algorithms require a lot of fitness calculations to get good enough solutions, which constitutes an obstacle to solving computationally complex practical problems. Recently, it has been foun...
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Article
Open AccessA cross-domain fruit classification method based on lightweight attention networks and unsupervised domain adaptation
Image-based fruit classification offers many useful applications in industrial production and daily life, such as self-checkout in the supermarket, automatic fruit sorting and dietary guidance. However, fruit ...
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Article
Open AccessAn instance-based deep transfer learning method for quality identification of Long**g tea from multiple geographical origins
For practitioners, it is very crucial to realize accurate and automatic vision-based quality identification of Long**g tea. Due to the high similarity between classes, the classification accuracy of tradition...
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Article
Semi-supervised recommender system for bone implant ratio recommendation
Millions of people suffer from bone loss and diseases each year, which give rise to bone-related medical treatments. Multi-material coatings composed of Silicon Substituted Hydroxyapatite (Si-HA) and Silver Su...
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Article
Positioning of logistics and warehousing automated guided vehicle based on improved LSTM network
In order to improve the positioning effect of logistics and warehousing AGV, this paper improves the traditional LSTM algorithm, proposes an intelligent network algorithm that can be applied to the positioning...
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Examination on the setting of scheduled block time in China's aviation framework dependent on quantile regression model
Based on nationwide aircraft performance and scheduling gathered from Variflight.com, the work evaluates how the identified factors, such as aircraft taxi-in and taxi-out time, airborne time, Origin–destinatio...
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Article
Open AccessInorganic nanomaterial lubricant additives for base fluids, to improve tribological performance: Recent developments
In this paper, we review recent research developments regarding the tribological performances of a series of inorganic nano-additives in lubricating fluids. First, we examine several basic types of inorganic n...
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Article
An analytical investigation of the collapse of asymmetrically corroded pipes under external pressure
This paper presents an analytical investigation of elastic collapse of asymmetrically corroded rings under external pressure when both internal corrosion and external corrosion exist. Governing equations are d...
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Article
Open AccessCharacterization and in vitro assessment of three-dimensional extrusion Mg-Sr codoped SiO2-complexed porous microhydroxyapatite whisker scaffolds for biomedical engineering
Large bone defects have always been a great challenge for orthopedic surgeons. The use of a good bone substitute obtained by bone tissue engineering (BTE) may be an effective treatment method. Artificial hydro...
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Article
Open AccessElectrochemical Surface Restructuring of Phosphorus-Doped Carbon@MoP Electrocatalysts for Hydrogen Evolution
An electrochemical-induced surface restructuring strategy is developed to design phosphorus-doped carbon@MoP electrocatalysts which exhibits excellent acti...
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Article
Comparison of image masking methods for pump impeller blade region PIV experiments
Due to the blade reflection effect when applying the PIV technology to the internal flow field measurement of rotating machinery, the blade area requires special treatment. In this paper, zero-value, particle ...
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Article
Combustion of nitrate ester plasticized polyether propellants
Nitrate ester plasticized polyether (NEPE) is a kind of high-energy solid propellant that has both good mechanical properties and high specific impulse. However, its unique composition makes its combustion mec...
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Article
Direct Multiscale Analysis of Stability of an Axially Moving Functionally Graded Beam with Time-Dependent Velocity
In this study, the transverse vibration of a traveling beam made of functionally graded material was analyzed. The material gradation was assumed to vary continuously along the thickness direction of the beam ...
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Influence of heat treatment on microstructure and electrochemical behaviors of Mg-Zn binary alloys prepared by gas-phase alloying technique
Mg-Zn binary alloys fabricated by the gas-phase alloying technique under vacuum condition were investigated in the state of initial state and after heat treatment for the microstructure and electrochemical beh...
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Article
Cache-Aware Network Coding-Based Scheduling for SVC Multicast in Wireless Networks with Hard Deadline Constraints
To provide multi-resolution video for heterogeneous users in wireless networks, Scalable Video Coding (SVC) encodes a video bit stream into one base layer and several enhancement layers, on the basis of their ...
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Article
Performance comparison between waverider and wide-speed-range gliding vehicle based on CFD approaches
Wide-speed-range gliding vehicle (WSRGV) is designed to adapt to the variable cruising environment that hypersonic vehicles will encounter during the mission implementation. Based on the cone-derived theory, a...
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Article
Open AccessNeighborhood-aware web service quality prediction using deep learning
With the rapid growth of web services on the Internet, it becomes more difficult for users who want to choose the high-quality web services from a large number of functionally equivalent candidate services. Th...
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Research laboratory for Smart Control Valves at Zhejiang University
目前大中型控制阀大多存在结构复杂、驱动能耗 大、反应时间慢、振动噪声大、稳定性差和使用 寿命短等缺点。基于此, 浙江大学相关研究人员 组建了特种控制阀研究室, 致力于提升控制阀的 整体性能和设计水**。
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Article
A selective neural network ensemble classification for incomplete data
Neural network ensemble (NNE) is a simple and effective method to deal with incomplete data for classification. However, with the increase in the number of missing values, the number of incomplete feature comb...