Abstract—Chipless RFID tag decoding has some inherent degrees of uncertainty because there is no handshake protocol between chipless tags and readers. This paper initially compares the outcome of different pattern recognition methods to decode some frequency-based tags in the mm-wave spectrum. It will be shown that these pattern recognition methods suffer from almost 2 to 5% false decoding rate. To overcome this mis-decoding problem, two novel methods of making images of the chipless tags are presented.

Instructions: 

This is the S11 parameters collected for 27 alphanumeric tags, with background noise deleted. Tag to antenna is 5 cm, a horn antenna (A-info antenna in the paper reference)

Tags are scanned in three positions, perpendicular to the antenna broadside, and +/-1.5cm away as right of left. Noise is already deducted from the data.

As data is huge (<1M rows), it has been put into two sheets.

 

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Accurate diagnosis of patient conditions becomes challenging for medical practitioners in urban metropolitan cities. A variety of languages and spoken dialects impedes the diagnosis achieved through the exploratory journey a medical practitioner and patient go through. Natural language processing has been used in well-known applications, such as Google Translate, as a solution to reduce language barriers. Languages typically encountered in these applications provide the most known, used or standardized dialect.

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The dataset consists of two classes: COVID-19 cases and Healthy cases 

Instructions: 

Unzip the dataset

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512 Views

This dataset consists of 2579 image pairs (5158 images in total) of wood veneers before and after drying. The high-resolution .png images (generally over 4000x4000) have a white background. The data has been collected from a real plywood factory. Raute Corporation is acknowledged for making this dataset public. The manufacturing process is well visualized here: https://www.youtube.com/watch?v=tjkIYCEVXko.

Instructions: 

There are two folders: "Dry" and "Wet". The "Wet" folder contains wet veneer images and the "Dry" folder dry veneer images. The files are numbered so that e.g. Wet_10 is an image of the same veneer as Dry_10, but the veneer has been dried in between.

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This dataset has information of 83 patients from India. This dataset contains patients’ clinical history, histopathological features, and mammogram. The distinctive aspect of this dataset lies in its collection of mammograms that have benign tumors and used in subclassification of benign tumors. 

Instructions: 

This datasest contains a zip folder of 80 mammograms and an excel file having mammographic features, histopathological features as well as clinical fatures of all the patients. 

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326 Views

Mother’s Significant Feature (MSF) Dataset has been designed to provide data to researchers working towards woman and child health betterment. MSF dataset records are collected from the Mumbai metropolitan region in Maharashtra, India. Women were interviewed just after childbirth between February 2018 to March 2021. MSF comprise of 450 records with a total of 130 attributes consisting of mother’s features, father’s features and health outcomes. A detailed dataset is created to understand the mother’s features spread across three phases of her reproductive age i.e.

Instructions: 

We have provided the copy of forms used to collect data for datset and a read me guide to undertand the features provided in dataset along with the content of all the 6 dataset submitted in excel sheet format.

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349 Views

WITH the advancement in sensor technology, huge amounts of data are being collected from various satellites. Hence, the task of target-based data retrieval and acquisition has become exceedingly challenging. Existing satellites essentially scan a vast overlapping region of the Earth using various sensing techniques, like multi-spectral, hyperspectral, Synthetic Aperture Radar (SAR), video, and compressed sensing, to name a few.

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WITH the advancement in sensor technology, huge amounts of data are being collected from various satellites. Hence, the task of target-based data retrieval and acquisition has become exceedingly challenging. Existing satellites essentially scan a vast overlapping region of the Earth using various sensing techniques, like multi-spectral, hyperspectral, Synthetic Aperture Radar (SAR), video, and compressed sensing, to name a few.

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Disclaimer 
DARPA is releasing these files in the public domain to stimulate further research. Their release implies no obligation or desire to support additional work in this space. The data is released as-is. DARPA makes no warranties as to the correctness, accuracy, or usefulness of the released data. In fact, since the data was produced by research prototypes, it is practically guaranteed to be imperfect.
Instructions: 

The data containing red team activities is divided into three sets, each corresponding to the three days of evaluation: 23Sep19, 24Sep19, and 25Sep19. The fourth set (23Sep19-night) contains no threats and contains data from the first night of evaluations, when clients were left running unattended overnight to collect additional baseline data.

During the initial one thousand client test, each mainframe server hosted fifty Windows clients. Half of the clients were taken down from each server for data collection, reducing the number of clients to five hundred, which resulted in a client machine naming continuity gap (e.g. Sys001-Sys025, Sys051-Sys075, …, Sys951-Sys975).

A full description of the contents, including message formats and file structure can be found in the OpTC-data-release.md file attached to this page and included in the root directory of the OpTC.tar.gz.

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145 Views

With the rapid growth of the Bangla music industry huge volume of Bangla songs is produced every day. An immense number of producers, lyricists, singers, and artists are involved in the production of songs from different genres. Among many genres of Bangla music; classical, folk, baul, modern music, Rabindra Sangeet, Nazrul Geeti, film music, rock music, and fusion music have gained the highest popularity. Lyricists try to express their feelings and views towards any situation or subject through their writings.

Instructions: 

The dataset contains the separate folders named after Bangla Song Writers or authors. Each folder contains the word files having the raw format of song lyrics. Download the files and use natural language processing to develop advance methods. 

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