Other
CTCS-2 level train control engineering data is primarily categorized into trackside infrastructure data and line parameters, including line velocity table, line gradient table, line broken chain detail table, balise position table, main line signal data table and so on. The dataset image above is an example of a balise position table.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
Inadequate management of safety risks causes fatalities, injuries, delays, and cost overruns in construction projects. Unpredictable and hostile conditions in coastal construction exacerbate these safety risks. Successful risk management requires effective management and communication of risk information as well as rapid access to relevant knowledge.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
Urdu Handwritten Ligature Dataset (UHLD) is the first unconstrained handwritten Urdu dataset developed for various handwritten Urdu recognition tasks and OCR research problems. The UHLD is written independently of paper color, paper type (blank or ruled), ink color, and pen type. The UHLD consists of around six thousand handwritten Urdu text lines written by 200 different writers. The UHLD dataset covers six and seven-character ligatures whereas it was only up to five character ligatures in previous dataset such as UNHD.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
This dataset is the supporting information for the article "Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection", including a Word file (Supporting Information.docx) and a demonstration video (Video S1.mp4). In the Word file, We have provided additional explanations to the following content of the article:
1. Preparation methods for sensitive materials are shown in the Note. S1.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
This letter reports a Al/WSe2/CuO/ITO structure based broadband photodetector. The low cost spin coating technique is utilized to deposit, p-type WSe2 film and n-type CuO film. The Al contacts were deposited over WSe2 film using thermal evaporation unit.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
This dataset is the supporting information for the article "Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection", including a Word file (Supporting Information.docx) and a demonstration video (Video S1.mp4). In the Word file, We have provided additional explanations to the following content of the article:
1. Preparation methods for sensitive materials are shown in the Note. S1.
- Categories:
![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
This dataset is the supporting information for the article "Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection", including a Word file (Supporting Information.docx) and a demonstration video (Video S1.mp4). In the Word file, We have provided additional explanations to the following content of the article:
1. Preparation methods for sensitive materials are shown in the Note. S1.
- Categories:
![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
This dataset is the supporting information for the article "Indoor air quality monitoring system with high accuracy of gas classification and concentration prediction via reasonable material selection", including a Word file (Supporting Information.docx) and a demonstration video (Video S1.mp4). In the Word file, We have provided additional explanations to the following content of the article:
1. Preparation methods for sensitive materials are shown in the Note. S1.
- Categories:
![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
Normal
0
7.8 磅
0
2
false
false
false
EN-US
ZH-CN
X-NONE
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/system-2660914_1920.jpg?itok=YhW39ejC)
The models and results for the paper "GDL-CPA: Cross-Device Profiling Side-channel Analysis with Global Domain-Adversarial Learning".
This dataset include the trained models for cross-device profiling side-channel analysis. Using these models, we can reproduct the results.
The results also give up the detailed obtained from models.
The pictures of paper can be found here.
The related dataset is obtained by : CDPA-SCA/Cross-Device-Profiled-Attack (github.com)
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