14 Result(s)
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Article
A broader study of cross-domain few-shot object detection
Latest studies on few-shot object detection (FSOD) mainly focuses on achieving better performance in novel class through few-shot fine-tuning. This approach is based on the large amount of annotated data in ba...
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Article
DL-MSCNN: a general and lightweight framework for fault diagnosis with limited training samples
Accurately and intelligently detecting faults is critical to implement smart manufacturing regarding cost reduction and manufacturing system reliability. Recent boosting deep learning technology has been widel...
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Chapter and Conference Paper
A Review of Data-Driven Techniques for Neuromarketing
Recent years, Fusion neuroscience and cognitive science applied in psychology, sociology, economics, management become the new research fields. Combined with the latest marketing condition, using the method of...
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Chapter and Conference Paper
Production Control Method and DEMO Study of Mass Personalization Production in Industry 4.0
With the development of information technology, it is more and more convenient to obtain personalized customer demand information. After obtaining personalized demand information, how to transform the customer...
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Article
Physician scheduling for outpatient department with nonhomogeneous patient arrival and priority queue
The growing demand for outpatient departments and prolonged waiting time of patients in recent years has made physician scheduling necessary to provide timely medical services. This study focused on the proble...
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Article
Open AccessMicrostructure and Mechanical Properties of Nickel-Aluminum Bronze Coating on 17-4PH Stainless Steel by Laser Cladding
Bimetallic copper-steel composite could be an effective structural material to improve the performance of traditional nickel-aluminum bronze (NAB) ship propeller due to its high structural strength and corrosi...
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Article
RSOD: Real-time small object detection algorithm in UAV-based traffic monitoring
The prevailing applications of Unmanned Aerial Vehicles (UAVs) in transportation systems promote the development of object detection methods to collect real-time traffic information through UAVs. However, due ...
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Article
Surface properties of different natural precious decorative veneers by plasma modification
Five kinds of typical natural precious decorative veneer rosewood, teak, black walnut, northeast China ash and red oak were treated by plasma at different discharge powers and speeds. The surface property chan...
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Chapter and Conference Paper
Research on Straightness Error Evaluation Method Based on Search Algorithm of Beetle
In order to improve the accuracy of spatial straightness assessment, a mathematical model of spatial straightness is established. The objective function is solved by using a variable step length beetle search ...
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Chapter and Conference Paper
Application of CNN Deep Learning in Product Design Evaluation
Convolutional Neural Network (CNN) is an excellent deep learning algorithm. It can not only extract image features accurately, but also can reduce the complexity of the model. This paper combines the advanced ...
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Article
Theoretical investigation on thermoelectric properties of spin gapless semiconductor \(\hbox {Cr}_{2}\hbox {ZnSi}\)
Thermoelectric properties as well as electronic and magnetic properties of Heusler alloy \(\hbox {Cr}_{2}\hbox {ZnSi}\) ...
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Chapter and Conference Paper
A Study on a Novel Application of Eye Tracking Technology in Product Customization
In the context of industry 4.0, personalized customization of products will be an important part of intelligent manufacturing. In a market competition, improving customer satisfaction is important to enhance t...
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Chapter and Conference Paper
A Modified Teaching and Learning Based Optimization Algorithm and Application in Deep Neural Networks Optimization for Electro-Discharge Machining
In order to improve the output precision of depth neural networks, an improved teaching and learning optimization algorithm is proposed to optimize the weights and thresholds of depth neural networks. The algo...
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Article
Numerical and experimental study on flow-induced noise at blade-passing frequency in centrifugal pumps
With the increasing noise pollution, low noise optimization of centrifugal pimps has become a hot topic. However, experimental study on this problem is unacceptable for industrial applications due to unsustain...
