We have developed this dataset for the Bangla image caption. Here, we have recorded 500 images with one caption of each. Basically the lifestyle, festivals are mainly focused in this dataset. We have accomplished rice/harvest festivals, snake charming, palanquin, merry-go-round, slum, blacksmith, potter, fisherman, tat shilpo, jamdani, shutki chash, date juice, hal chash, tokai, pohela falgun, gaye holud, etc.

   

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This is the experimental results of the paper "Biogeography-based optimization with improved migration and adaptive mutation".

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Dataset with diverse type of attacks in Programmable Logic Controllers:

1- Denial of Service 

  • Flooding
  • Amplification/Volumetric

2- Man in the Middle

 

The full documentation of the dataset is available at: https://arxiv.org/abs/2103.09380 

Instructions: 

The dataset if composed of several files regarding the DoS attacks and MiTM attacks.

 

A sample CSV file is also provided to illustrate the contents of the collected data. The majority of data is available at pcap format.

 

Full instructions are available at: https://arxiv.org/abs/2103.09380 

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LiDAR point cloud data serves as an machine vision alternative other than image. Its advantages when compared to image and video includes depth estimation and distance measruement. Low-density LiDAR point cloud data can be used to achieve navigation, obstacle detection and obstacle avoidance for mobile robots. autonomous vehicle and drones. In this metadata, we scanned over 1200 objects and classified it into 4 groups of object namely, human, cars, motorcyclist.

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Automatic detection of COVID-19 and community-acquired pneumonia on CT images with artificial intelligence

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Dataset asscociated with a paper in Computer Vision and Pattern Recognition (CVPR)

 

"Object classification from randomized EEG trials"

 

If you use this code or data, please cite the above paper.

Instructions: 

See the paper "Object classification from randomized EEG trials" on IEEE Xplore.

 

Code for analyzing the dataset is included in the online supplementary materials for the paper.

 

The code from the online supplementary materials is also included here.

 

If you use this code or data, please cite the above paper.

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This dataset includes the data used in our two research papers. GNN4TJ and GNN4IP. 

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Crowds express emotions as a collective individual, which is evident from the sounds that a crowd produces in particular events, e.g., collective booing, laughing or cheering in sports matches, movies, theaters, concerts, political demonstrations, and riots.

Instructions: 

Extract locally the zip files, read the readme file.

Instructions for dataset usage are included in the open access paper: Franzoni, V., Biondi, G., Milani, A., Emotional sounds of crowds: spectrogram-based analysis using deep learning (2020) Multimedia Tools and Applications, 79 (47-48), pp. 36063-36075. https://doi.org/10.1007/s11042-020-09428-x

File are released under Creative Commons Attribution-ShareAlike 4.0 International License

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The dataset is collected for the purpose of investigating how brainwave signals can be used to industrial insider threat detection. The dataset was connected using Emotiv Insight 5 channels device. The dataset contains data from 17 subjects who accepted to participate in this data collection.

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This dataset is part of my Master's research on malware detection and classification using the XGBoost library on Nvidia GPU. The dataset is a collection of 1.55 million of 1000 API import features extract from jsonl format of the EMBER dataset 2017 v2 and 2018. All data is pre-processing, duplicated records are removed. The dataset contains 800,000 malware and 750,000 "goodware" samples.

Instructions: 

* FEATURES *

Column name:  sha256

Description: SHA256 hash of the example

Type: string

 

Column name:  appeared

Description: appeared date of the sample

Type: date (yyyy-mm format)

 

Column name:  label

Description: specify malware or "goodware" of the sample

Type: 0 ("goodware") or 1 (malware)

 

Column name: GetProcAddress

Description: Most imported function (1st)

Type: 0 (Not imported) or 1 (Imported)

 

...

Column name: LookupAccountSidW

Description: Least imported function (1000th)

Type: 0 (Not imported) or 1 (Imported)

 

The full dataset features header can be downloaded at https://github.com/tvquynh/api_import_dataset/blob/main/full_dataset_fea...

All processing code will be uploaded to https://github.com/tvquynh/api_import_dataset/

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