-
主分量分析
气象常用的模态分解程序，包括EOF和REOF两种方式的程序(The fortran program of EOF/REOF method)
- 2018-09-25 11:12:41下载
- 积分：1
-
极力给推荐大家
极力给推荐大家--“用感光板制作电路板全程图解” 。包你在3分钟内学会用感光板制作电路板。-Strongly recommend you to- " with the production of circuit board plate illustrations throughout." Package within three minutes you learn how to use the production of circuit board plate.
- 2022-02-04 00:51:55下载
- 积分：1
-
sixuamnyi
说明： 四旋翼无人机仿真 悬停控制 稳定 控制系统建模(simulink.Simulation hover control stability control system modeling of four-rotor uav)
- 2021-04-12 12:08:57下载
- 积分：1
-
WBAN代码IEEE802.15.4_opnet_simulation_model_v2.0
这是WBAN代码在IEEE 802.15.4里
- 2020-07-06 15:28:59下载
- 积分：1
-
O3_air
说明： 成都市空气中的O3来源及分析，可用于大创项目(O3 source and analysis in air of Chengdu, which can be used in some projects)
- 2020-06-22 01:40:02下载
- 积分：1
-
SEG-Y_Mapping
利用qt编写的seg-y读取显示程序用的qt3(QT3 for reading display program with SEG-Y written by QT)
- 2020-06-25 17:20:02下载
- 积分：1
-
Duhamel
论文详细阐述了杜哈梅积分的原理，并用单自由度系统验证(The principle of duhami integral is expounded in detail, and the system is verified by single degree of freedom system.)
- 2018-08-01 09:58:25下载
- 积分：1
-
code for Unitary ESPRIT
code for Unitary ESPRIT
- 2023-02-02 17:45:04下载
- 积分：1
-
ccfd_tutorial1
说明： PFC流固耦合分析实例详解,详细介绍如何使用PFC2D颗粒流离散元FISH程序模拟流体运移过程(the tutorial of CCFD case in PFC2D softwear which is using the FISH Code.)
- 2020-12-27 20:49:02下载
- 积分：1
-
DeepCrack
说明： 裂纹是典型的线结构，在许多计算机视觉应用中都很有趣。在实际应用中，路面裂缝等许多裂缝连续性差、对比度低，给利用低层特征进行基于图像的裂缝检测带来了很大的挑战。在本文中，我们提出了深度裂纹——一个端到端可训练的深度卷积神经网络，通过学习用于裂纹表示的高级特征来自动检测裂纹。该方法将在层次卷积阶段学习到的多尺度深度卷积特征融合在一起，以获取线路结构。更详细的表示在大比例尺的feature maps中进行，更全面的表示在小比例尺的feature maps中进行。我们在SegNet的编码器解码器架构上构建深度裂纹网，并对在相同尺度下在编码器网络和解码器网络中生成的卷积特征进行配对融合。(Cracks are typical line structures that are of interest in many computer-vision applications. In practice, many cracks, e.g., pavement cracks, show poor continuity and low contrast, which bring great challenges to image-based crack detection by using low-level features. In this paper, we propose DeepCrack---an end-to-end trainable deep convolutional neural network for automatic crack detection by learning high-level features for crack representation. In this method, multi-scale deep convolutional features learned at hierarchical convolutional stages are fused together to capture the line structures. More detailed representations are made in larger scale feature maps and more holistic representations are made in smaller scale feature maps. We build DeepCrack net on the encoder decoder architecture of SegNet and pairwisely fuse the convolutional features generated in the encoder network and in the decoder network at the same scale.)
- 2021-04-09 16:58:59下载
- 积分：1
