Prediction and classification of IoT sensor faults using hybrid deep learning model
Adisu Mulu Seba,
Ketema Adere Gemeda,
Perumalla Janaki Ramulu
Abstract:The quality and reliability of internet of thing (IoT) ecosystems heavily rely on accurate and dependable sensor data. However, resource limited sensors are prone to failure due to various factors like environmental disturbances and electrical noise in which they can produce erroneous and faulty measurements. These can have significant consequences across different domains, including a threat to safety in critical systems. Though many researches have been conducted, the existing literature primarily focuses on… Show more
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