CDNN

Mendeley Data2024-01-31 更新2024-06-30 收录

医学图像分析

深度学习

数据链接：

https://data.mendeley.com/datasets/jjgtktxht5 数据链接链接失效反馈

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资源简介：

Convolutional deep neural network (CDNN) Models that classify glioblastoma into subtypes.

可将胶质母细胞瘤分类为亚型的卷积深度神经网络（Convolutional deep neural network，CDNN）模型

创建时间：

2024-01-31

A history reconstructed time series (1992-2011) of annual global NPP-VIIRS-like nighttime light data through a super-resolution U-Net model

夜间灯光数据

深度学习

The dataset is an extend time series of the Version 2 annual NPP-VIIRS nighttime light composites. The dataset contains (1) simulated NPP-VIIRS NTL time series from the DMSP-OLS NTL data (1992-2011) b

DataCite Commons2025-06-01 更新240

Image Synthesis with a Convolutional Capsule Generative Adversarial Network- Prepared Data

图像合成

深度学习

A set of prepared datasets for running experiments to replicate paper (see below). List of data: Training capspix2pix: crops256.zip - folder containing 256x256 crops from the original dataset for trai

Mendeley Data2024-03-27 更新110

"Figure 4 - top right, high pt DeepTau vs jet" of "Identification of hadronic tau lepton decays using a deep neural network"

粒子物理学

深度学习

Efficiency for quark and gluon jets to pass different tau identification discriminators versus the efficiency for genuine tau_h. The upper two plots are obtained with jets from the W+jets simulated sa

DataCite Commons2026-04-09 更新90

地面工程阶段识别模型数据

施工进度识别

深度学习

基于深度学习的施工进度识别技术，通过高度智能化的数据处理与分析，得到地面工程施工阶段识别模型数据集合，为建筑行业带来了革命性的管理变革，增强了施工过程的透明度与可控性，显著提升了项目的安全性、效率和经济效益。1.数据采集：采集海量不同施工阶段的多样化现场场景数据，为模型训练提供了丰富的真实数据基础。 2.数据处理：（1）数据预处理：首先对基于多任务联合优化的工程进度识别模型训练进行预处理，然后进

浙江省数据知识产权登记平台2024-09-19 更新160

Dataset mapings of PKU_REID dataset for Pose estimation

行人姿态估计

深度学习

This Excel file contains mappings of images of the PKU-REID dataset and corresponding class labels for pedestrian pose estimation purposes. PKU-REID dataset is available at :Cite: charliememory. (2023

DataCite Commons2025-10-21 更新100

CDNN

资源简介：

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