Machine Learning

We collected experimental field data with a prototype open-ended waveguide sensor (WR975) operating between 600 MHz - 1300 MHz. With our prototype sensor we collected reflection coefficient measurements at a total of 50 unique 1-ft^2 sites across two separate established cranberry beds in central Wisconsin. The sensor was placed directly on top of cranberry-crop bed canopies, and we obtained 12 independent reflection coefficient measurements (each defined as one S11 sweep across frequency) at each 1-ft^2 site by randomly rotating and/or translating the sensor aperture above each site. After

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  • Machine Learning
  • Last Updated On: 
    Mon, 05/04/2020 - 17:20

    PRIME-FP20 dataset is established for development and evaluation of retinal vessel segmentation algorithms in ultra-widefield fundus photography. PRIME-FP20 provides 15 high-resolution ultra-widefield fundus photography images acquired using the Optos 200Tx camera (Optos plc, Dunfermline, United Kingdom), the corresponding labeled binary vessel maps, and the corresponding binary masks for the FOV of the images.

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  • Computer Vision
  • Last Updated On: 
    Sun, 05/03/2020 - 13:13

    This dataset has been collected in the Patient Recovery Center (a  24-hour,  7-day  nurse  staffed  facility)  with  medical  consultant   from  the  Mobile  Healthcare  Service of Hamad Medical Corporation.

    384 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 04/30/2020 - 11:04

    This dataset consists of sensory data of digits, i.e., from 0 to 9. The dataset is collected from 20 volunteers by using a 9−axis Inertial Measurement Unit (IMU) equipped marker pen. The objective of this dataset is to design classification algorithms for recognizing a handwritten digit in real-time.

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  • Machine Learning
  • Last Updated On: 
    Mon, 04/27/2020 - 14:38

    Academic spaces are an environment that promotes student performance not only because of the quality of its equipment, but also because of its ambient comfort conditions, which can be controlled by means of actuators that receive data from sensors. Something similar can be said about other environments, such as home, business, or industry environment. However, sensor devices can cause faults or inaccurate readings in a timely manner, affecting control mechanisms. The mutual relationship between ambient variables can be a source of knowledge to predict a variable in case a sensor fails.

    145 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 04/26/2020 - 09:57

    This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords.

    11740 views
  • COVID-19
  • Last Updated On: 
    Fri, 07/03/2020 - 21:32

    With the increasing popularity of the Internet of Things (IoT), security issues in the IoTnetwork have become the focus of research. Since the number of IoT devices connected to the networkhas increased, the conventional network framework faces several problems in terms of network latencyand resource overload. Fog computing is intended to construct a new network framework. However, fogcomputing has also caused new security challenges, such as authentication, authorization, and securecommunication.

    311 views
  • IoT
  • Last Updated On: 
    Sat, 04/25/2020 - 12:25

    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).

    138 views
  • Artificial Intelligence
  • Last Updated On: 
    Sat, 04/25/2020 - 08:58

    Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm

    636 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 05/05/2020 - 11:47

    As part of preparedness efforts in dealing with this, it is important for Indonesia to prepare guidelines for preparedness in dealing with COVID-19.

    1093 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 05/10/2020 - 05:43

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