Machine Learning

Recently, self-driving vehicles have been introduced with several automated features including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and crash avoidance. These self-driving vehicles and intelligent visual traffic surveillance systems mainly depend on cameras and sensors fusion systems.

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  • Artificial Intelligence
  • Last Updated On: 
    Sat, 07/04/2020 - 08:44

    This is a PDF of the OPM model of the first part of ISO/IEC/IEEE 15288 International Standard 

    7 views
  • Machine Learning
  • Last Updated On: 
    Fri, 07/03/2020 - 14:08

    The rapid outbreak of COVID-19 due to the novel coronavirus SARS-COV-2 is the biggest issue faced by mankind today. It is important to detect the positive cases as early as possible to prevent the further spread of this pandemic.

    45 views
  • Machine Learning
  • Last Updated On: 
    Tue, 06/30/2020 - 23:57

    Vibration measurement on SAG mill drive motor for Energy harvesting or predictive maintenance

    55 views
  • IoT
  • Last Updated On: 
    Tue, 06/30/2020 - 09:44

    Presented here is a dataset used for our SCADA cybersecurity research. The dataset was built using our SCADA system testbed described in our paper below [*]. The purpose of our testbed was to emulate real-world industrial systems closely. It allowed us to carry out realistic cyber-attacks.

     

    76 views
  • Artificial Intelligence
  • Last Updated On: 
    Sun, 06/28/2020 - 10:47

    The dataset comprises of image file s of size 20 x 20 pixels for various types of metals and non-metal.The data collected has been augmented, scaled and modified to represent a number a training set dataset.It can be used to detect and identify object type based on material type in the image.In this process both training data set and test data set can be generated from these image files. 

    131 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 06/25/2020 - 06:24

     

    This dataset is addressed to build time-aware music recommender systems when evolution of user preferences is considered. It was built by processing the data collected by Oscar Celma (https://www.upf.edu/web/mtg/lastfm360k) from last.fm. It consists of more than 80,000 songs listened to by 50 users over a 2-year period, creating a collection of more than 420,000 timestamped plays.

     

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    40 views
  • Machine Learning
  • Last Updated On: 
    Wed, 06/24/2020 - 02:52

    We introduce a new database of voice recordings with the goal of supporting research on vulnerabilities and protection of voice-controlled systems (VCSs). In contrast to prior efforts, the proposed database contains both genuine voice commands and replayed recordings of such commands, collected in realistic VCSs usage scenarios and using modern voice assistant development kits.

    85 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 06/23/2020 - 23:25

    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.

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

    Invasive lobular carcinoma (ILC) is the second most prevalent histologic subtype of invasive breast cancer. Here, we comprehensively profiled 817 breast tumors, including 127 ILC, 490 ductal (IDC), and 88 mixed IDC/ILC. Besides E-cadherin loss, the best known ILC genetic hallmark, we identified mutations targeting PTEN, TBX3 and FOXA1 as ILC enriched features. PTEN loss associated with increased AKT phosphorylation, which was highest in ILC among all breast cancer subtypes. Spatially clustered FOXA1 mutations correlated with increased FOXA1 expression and activity.

    57 views
  • Artificial Intelligence
  • Last Updated On: 
    Tue, 06/23/2020 - 07:54

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