artificial intelligence

Database for FMCW THz radars (HR workspace) and sample code for federated learning 

  • Communications
  • Last Updated On: 
    Wed, 08/07/2019 - 07:53

    The benchmark dataset  are consisted of 2,413 three-channel RGB images obtained from Google Earth satellite images and AID dataset.

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Tue, 07/30/2019 - 10:03

    Computational modelling of metabolic processes has proven to be a useful approach to formulate our knowledge and improve our understanding of core biochemical systems that are crucial to maintain cellular functions. Recently, it has become evident that metabolism is not only responsible for generating the required energy and controlling the abundance of metabolites within a cell, but also has an important role in and influence on cellular fate specification.

  • Computational Intelligence
  • Last Updated On: 
    Tue, 11/13/2018 - 10:56
    Citation Author(s): 
    Youssef Hamadi, Claudio Angione, Hillel Kugler, Christoph Wintersteiger, Boyan Yordanov

     

    This is a model of artificial intelligence architecture developed using the 

    technique of targeting and assembling various components (as needed) together 

    to get artificial intelligence with characteristics similar to human intelligence. 

    This model represents the general form, the strategy, and the mechanism of 

    manufacturing an artificial intelligence device and the fact that based on what 

    structure it can turn into artificial intelligence. One of the important features of 

  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    farshid bahrami

      In recent years, researchers have explored gesture-based interfaces to control robots in non-traditional ways. These interfaces require the ability to track the body movements of the user in 3D. Deploying mo-cap systems for tracking tends to be costly, intrusive, and requires a clear line of sight, making them ill-adapted for applications that need fast deployment, such as artistic performance and emergency response.

  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    David St-Onge and Ulysse Côté-Allard and Giovanni Beltrame

    Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Walid Gomaa, Reda Elbasiony

    This work presents a novel Anti-Islanding (AI) protection of Photovoltaic (PV) Systems based on monitoring the dc-link voltage of the PV inverter. A PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.

  • Energy
  • Last Updated On: 
    Tue, 01/29/2019 - 00:56

    This work presents a Matlab/Simulink study on anti-islanding detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and anti-islanding (AI) relay reaction times are measured through the simulation.

  • Energy
  • Last Updated On: 
    Tue, 01/29/2019 - 00:51

    Data Science is all about the processes and methods to access and analyze data to gain insights for informed decision making. To promote the awareness and analytic technology of Big Data, IEEE EMBS and the IEEE Big Data Initiative are organizing a Data Analytics Competition. The competition will be held during the International Conference on Biomedical and Health Informatics (IEEE BHI2017), 16-19 February 2017 in Orlando, Florida, and is open to all participants of the conference.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 08/08/2017 - 10:52
    Citation Author(s): 
    United States Patent and Trademark Office