Machine Learning
Each voice sample is stored as a .WAV file, which is then pre-processed for acoustic analysis using the specan function from the WarbleR R package. Specan measures 22 acoustic parameters on acoustic signals for which the start and end times are provided.
The output from the pre-processed WAV files were saved into a CSV file, containing 3168 rows and 21 columns (20 columns for each feature and one label column for the classification of male or female).
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1470 Views
Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm
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1286 Views
As part of preparedness efforts in dealing with this, it is important for Indonesia to prepare guidelines for preparedness in dealing with COVID-19.
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3245 Views
Visible Light Positioning is an indoor localization technology that uses wireless transmission of visible light signals to obtain a location estimate of a mobile receiver.
This dataset can be used to validate supervised machine learning approaches in the context of Received Signal Strength Based Visible Light Positioning.
The set is acquired in an experimental setup that consists of 4 LED transmitter beacons and a photodiode as receiving element that can move in 2D.
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1074 Views
A dataset from semiconductor assembly and testing processes is used to evaluate the model selection prediction method. The response variable refers to the throughput rate of a specific machine–product combination in one of the assembly and testing process steps based on historical data. This data set includes 1 response variable, 5 categorical machine and product attributes and 11 numerical attributes. The dataset contains 13186 observations.
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2941 Views
Dataset asscociated with a paper in IEEE Transactions on Pattern Analysis and Machine Intelligence
"The perils and pitfalls of block design for EEG classification experiments"
DOI: 10.1109/TPAMI.2020.2973153
If you use this code or data, please cite the above paper.
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1656 Views
This file contains Python code to extract the single-diode model parameters from the Photovoltaic IV-curve.
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550 Views
The dataset consists of reviews for various hotels throughout the world and data columns range from Location, Trip Type to various parameters of reviewing with individual review score. The data can be preprocessed and used for various purposes ranging from review categorization, topic extraction, sentiment analysis, location based quality calculation etc. Trustworthy real world data comes handy now-a-days and is tough to get a grasp on. So this dataset will be a good contribution for the researcher community as well as professionals.
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11057 Views
iSignDB: A biometric signature database created using smartphone
Suraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, and Farhana Javed Zareen
Department of Computer Science, Jamia Millia Islamia, New Delhi-110025, India
It's a database of biometric signatures recorded using sensors present in a smartphone. The dataset iSignDB is created to implement a novel anti-spoof biometric signature authentication for smartphone users.
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1162 Views
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257 Views