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Titlebook: Urban Intelligence and Applications; Proceedings of ICUIA Xiaohui Yuan,Mohamed Elhoseny Conference proceedings 2020 Springer Nature Switzer

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樓主: fathom
11#
發(fā)表于 2025-3-23 11:11:10 | 只看該作者
Research on Low Altitude Object Detection Based on Deep Convolution Neural Network We proposed a deep convolution neural network model, which utilizes deep supervision implicitly through the dense layer-wise connections and combines multi-level and multi-scale feature. The model has achieved state-of-the-art performance on two large-scale publicly available datasets for object detection in aerial images.
12#
發(fā)表于 2025-3-23 15:44:47 | 只看該作者
Controller Placements for Improving Flow Set-Up Reliability of Software-Defined Networksds a flow set-up request to the controller, a device in the control plane, upon the arrival of an unknown flow. The controller responds the request with a flow entry to be installed in the flow table of the switch. Link failures can cause disconnections between switches and controllers. Most existin
13#
發(fā)表于 2025-3-23 19:50:18 | 只看該作者
14#
發(fā)表于 2025-3-23 23:47:25 | 只看該作者
A Thin Client Error-Correcting Data Storage Framework Based on Blockchain data than widely used technologies, such as digital signature and digital watermarking. Each node in a blockchain is required to store data so that all the nodes should have powerful computing and storage capacity. Centralized service points make a thin client possible at the cost of decreasing dec
15#
發(fā)表于 2025-3-24 05:20:52 | 只看該作者
16#
發(fā)表于 2025-3-24 07:48:31 | 只看該作者
Remote Sensing Image Fusion Using Improved IHS and Non-subsampled Contourlet Transform techniques can be used to combine panchromatic and multispectral images to generate composite images with high resolution and rich spectral information. The IHS transform fusion is one of the most widely used techniques for image fusion. However, the IHS transform fusion brings spectral distortion.
17#
發(fā)表于 2025-3-24 13:14:34 | 只看該作者
18#
發(fā)表于 2025-3-24 15:34:34 | 只看該作者
19#
發(fā)表于 2025-3-24 22:05:14 | 只看該作者
20#
發(fā)表于 2025-3-24 23:56:37 | 只看該作者
Entity Hyponymy Extraction of Complex Sentence Combining Bootstrapping and At-BiLSTM in Special Domal method that combines Bootstrapping method and Attention-Based Bidirectional Long Short-Term Memory Networks (Bo-At-BiLSTM). The experimental corpus is in the field of tourism in China. First, the bootstrapping method is used to obtain the patterns set. Then, pattern matching is employed to acquire
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