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Submission records of frontiers Publishing House (with status changes)
2022-07-28 22:54:00 【The moon is full and the stars are sinking】
This article mainly records the personal in Frontiers Status changes of journal contributions and various operation pages , For everyone ~
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- STM32 board level support package for keys
- Lenovo r9000p installation matlab2018a+cuda10.0 compilation
- STM32 -- program startup process
- UNET [basic network]
- Multi activity disaster recovery construction after 713 failure of station B | takintalks share
- LTE cell search process and sch/bch design
- GD32F303固件库开发(10)----双ADC轮询模式扫描多个通道
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Multi activity disaster recovery construction after 713 failure of station B | takintalks share

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记录一下关于三角函数交换积分次序的一道题
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Ocr-gan [anomaly detection: Reconstruction Based]
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Stm32subeide (10) -- ADC scans multiple channels in DMA mode

Yolov5 improvement 15: network lightweight method deep separable convolution

定了!哪吒S全系产品将于7月31日上市发售
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CS flow [abnormal detection: normalizing flow]

Yolov5 improvement 4: add ECA channel attention mechanism
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The simple neural network model based on full connection layer MLP is changed to the model based on CNN convolutional neural network
Binary source code, inverse code, complement code
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STM32_ Hal library driven framework
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一份来自奎哥的全新MPLS笔记,考IE必看 ----尚文网络奎哥
Improvement 14 of yolov5: replace the backbone network C3 with the lightweight network GhostNet
CS flow [abnormal detection: normalizing flow]
Paper reading: deep forest / deep forest /gcforest
[3D target detection] 3dssd (II)
STM32 - advanced control timer (time base unit, functional block diagram, input, capture, output, open circuit)
Install PCL and VTK under the background of ROS installation, and solve VTK and PCL_ ROS conflict problem
[reprint] the token token is used in the login scenario
STM32CUBEIDE(10)----ADC在DMA模式下扫描多个通道
Improvement 16 of yolov5: replace backbone network C3 with lightweight network pp-lcnet
OSV_ q AttributeError: ‘numpy. ndarray‘ object has no attribute ‘clone‘
无代码开发平台管理后台入门教程
Improvement 17 of yolov5: cnn+transformer -- integrating bottleneck transformers
Draem+sspcab [anomaly detection: block]