Machine Learning

Recognition and classification of currency is one of the important task. It is a very crucial task for visually impaired people. It helps them while doing day to day financial transactions with shopkeepers while traveling, exchanging money at banks, hospitals, etc. The main objectives to create this dataset were:

        1)      Create a dataset of old and new Indian currency.

        2)      Create a dataset of Thai Currency.

        3)      Dataset consists of high-quality images.

55 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 07/09/2020 - 02:02

    INDIA is the second-largest fruit and vegetable exporter in the world after China. It ranked first in the production of Bananas, Papayas, and Mangoes. Public datasets of fruits are available but they are limited to general fruit classes and failed to classify the fruits according to the fruit quality. The main objectives to create this dataset were:

          1)    Target the top six Indian fruits which are exported or highly consumed.

          2)    Create a dataset for fruit classification with the quality of fruit.

    126 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 07/09/2020 - 01:24

    Message Queuing Telemetry Transport (MQTT) protocol is one of the most recent standards used in Internet of Things (IoT) machine to machine communication. The increase in the number of available IoT devices and used protocols reinforce the need for new and robust Intrusion Detection Systems (IDS). However, building IoT IDS requires the availability of datasets to process, train and evaluate these models. The dataset presented in this paper is the first to simulate and MQTT-based network. The dataset is generated using a simulated MQTT network architecture.

    196 views
  • IoT
  • Last Updated On: 
    Tue, 06/23/2020 - 16:35

        

    Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range.

    253 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 06/08/2020 - 03:50

    The aircraft fuel distribution system has two primary functions: storing fuel and distributing fuel to the engines. These functions are provided in refuelling and consumption phases, respectively. During refuelling, the fuel is first loaded in the Central Reservation Tank and then distributed to the Front and Rear Tanks. In the consumption phase, the two engines receive an adequate level of fuel from the appropriate tanks. For instance, the Port Engine (PE) will receive fuel from Front Tank and the Starboard Engine (SE) will receive fuel from Rear Tank.

    109 views
  • Artificial Intelligence
  • Last Updated On: 
    Sat, 05/23/2020 - 16:28

    The  database contains the raw range-azimuth measurements obtained from mmWave MIMO radars (IWR1843BOOST http://www.ti.com/tool/IWR1843BOOST) deployed in different positions around a robotic manipulator.

    180 views
  • IoT
  • Last Updated On: 
    Mon, 05/18/2020 - 06:54

    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

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

    test

    92 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 05/15/2020 - 04:56

    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.

    63 views
  • Machine Learning
  • Last Updated On: 
    Fri, 04/24/2020 - 11:05

    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.

    75 views
  • Machine Learning
  • Last Updated On: 
    Thu, 04/23/2020 - 23:05

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