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  • Open Access


    Object Detection Learning for Intelligent Self Automated Vehicles

    Ahtsham Alam1, Syed Ahmed Abdullah1, Israr Akhter1, Suliman A. Alsuhibany2,*, Yazeed Yasin Ghadi3, Tamara al Shloul4, Ahmad Jalal1

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 941-955, 2022, DOI:10.32604/iasc.2022.024840

    Abstract Robotics is a part of today's communication that makes human life simpler in the day-to-day aspect. Therefore, we are supporting this cause by making a smart city project that is based on Artificial Intelligence, image processing, and some touch of hardware such as robotics. In particular, we advocate a self automation device (i.e., autonomous car) that performs actions and takes choices on its very own intelligence with the assist of sensors. Sensors are key additives for developing and upgrading all forms of self-sustaining cars considering they could offer the information required to understand the encircling surroundings and consequently resource the… More >

  • Open Access


    Low Cost Autonomous Learning and Advising Smart Home Automation System

    Daniel Chioran*, Honoriu Valean

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1939-1952, 2022, DOI:10.32604/iasc.2022.020649

    Abstract In today’s world, more than ever before, we are fascinated and drawn towards smart autonomous devices that make our lives safer and more comfortable. Devices that aid in reducing our energy consumption are also highly appreciated but often quite expensive to buy. This context is favorable for developing an autonomous smart home automation system (SHAS) with energy-saving potential and low price, making it widely accessible. This paper presents the design and prototype implementation of such a low-cost micro-controller based autonomous SHAS that learns the resident’s work schedule and integrates a wide array of sensors and actuators to automatically control the… More >

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