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Polepogu Rajesh

    Sistema de caja negra de automóviles para la detección de accidentes
    Auto-Black-Box-System zur Unfallaufdeckung
    Automobil-Black-Box-System zur Unfallerkennung
    Detection of Leukemia in blood Samples using Microscopic Images
    Automobile Black Box System for Accident Detection
    • 2019

      The book introduces a prototype for an Automobile Black Box System designed to enhance vehicular safety by analyzing accident causes. It features seven sensors that monitor driving data, with a Raspberry Pi and Arduino controllers managing the information. In the event of an accident, the system alerts a designated mobile number via SMS and securely stores data on an SD card for post-incident analysis. Additionally, it utilizes external sensors like cameras and GPS to capture video and location details, aiming to prevent loss of life and property from vehicle accidents.

      Automobile Black Box System for Accident Detection
    • 2019

      The book explores a preliminary study on detecting various types of leukemia through the analysis of microscopic blood sample images. It emphasizes the importance of early disease detection, allowing for timely intervention and prevention. By utilizing cost-effective imaging techniques, the study focuses on the characteristics of white blood cells, examining changes in texture, geometry, color, and statistical features as classifiers. It also reviews existing literature and proposes the use of Reinforcement Learning for leukemia classification, addressing relevant research challenges.

      Detection of Leukemia in blood Samples using Microscopic Images