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Classification of lung nodules based on the DCA-Xception network
Journal of X-Ray Science and Technology, 2022BACKGROUND: Developing deep learning networks to classify between benign and malignant lung nodules usually requires many samples. Due to the precious nature of medical samples, it is difficult to obtain many samples. OBJECTIVE: To investigate and test a DCA-Xception network combined with a new data enhancement method to improve performance of lung ...
Dongjie, Li, Shanliang, Yuan, Gang, Yao
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CloudX-DefNet – Cloud Xception Defense Network
In the evolving landscape of cloud computing, securing networks against cyber threats is a critical challenge. Traditional intrusion detection systems (IDS) often struggle with high false alarm rates and scalability issues. To address these concerns, we propose XKFHnet: Xception Kronecker Forward Fractional Net, a novel deep learningbased approach for ...D. R. Lodha, Dr. Rokade P.P
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Xception™: A Software Implemented Fault Injection Tool
2005This chapter addresses Xception — a software implemented fault injection tool. Among its key features are the usage of the advanced debugging and performance monitoring resources available in modern processors to emulate realistic faults by software, and to monitor the activation of the faults and their impact on the target system behaviour in detail ...
Diamantino Costa +3 more
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Xception-ResNet Autoencoder for Pneumothorax Segmentation
2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2022Abdelbaki Souid, Hedi Sakli
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Plant Leaf Disease Detection Using Xception Model
Journal of Image Processing and Intelligent Remote SensingThe traditional farming practices have been causing significant financial losses to farmers due to various reasons. However, the implementation of a modern, smart agricultural system utilizing machine learning techniques appears promising in safeguarding farmers and traders against these risks.
Deepak Pantha, Dr. Roshan Koju
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Segmentation of Building Footprints with Xception and IoUloss
2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019Advanced sensors are increasingly used in aeronautical facility. Broader acquisition of images improves the quality and quantity of remote sensing images and makes a large number of fine remote sensing images available. Although semantic segmentation models based on deep learning has been a great success in computer vision, there are still a lot of ...
Kepeng Xu +7 more
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Generated AI Face Detection using Xception Model
2023 International Conference on Data Science and Its Applications (ICoDSA), 2023Muhammad Bagus Izzan Muafy +2 more
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The Crisis of the E/xceptional U/nion
The International Spectator, 2014The European elections failed to mobilise public support for the European project. Despite the strong showing of populist parties in the European Parliament, there are indications that the European Union would rather be transformed than destroyed by the current political crisis.
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Shuffled-Xception-DarkNet-53: A content-based image retrieval model based on deep learning algorithm
Computers and Electrical Engineering, 2023Debanjan Pathak
exaly
Construction of Apple Leaf Diseases Identification Networks Based on Xception Fused by SE Module
Applied Sciences (Switzerland), 2021Xiaofei Chao, Meili Wang, Dongjian He
exaly