Results 61 to 70 of about 206,539 (199)
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, 2000 Michaël Löwy
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Fraturas da patela: uma década de tratamento no IOT-HC-FMUSP - parte 1: análise funcional [PDF]
, 2005 Alexandre Felício Pailo +6 more
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Scalable ID/Locator Resolution for the IoT [PDF]
, 2011 George Roussos, Paul Chartier
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, 2020 Driving style behavior in public transport can be divided into aggressive, normal and efficient. Usually, different kinds of hardware sensors are used to recognize these styles. The project presented in this thesis shows how using only an accelerometer sensor is possible to recognize the different styles of driving and it is also possible to achieve ...
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Emerging Developments in Real-Time Edge AIoT for Agricultural Image Classification
IoTAdvances in deep learning (DL) models and next-generation edge devices enable real-time image classification, driving a transition from the traditional, purely cloud-centric IoT approach to edge-based AIoT, with cloud resources reserved for long-term ...
Maurizio Pintus +2 more
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IoTPatient safety (PS) is essential in medical care, and preventing medication errors (MEs) is key to guaranteeing it. In Colombia, pharmaceutical services must comply with regulations that require adequate environmental monitoring to ensure medication ...
Maria Paula Cabezas +3 more
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Research on Security Issues of RFID Technology in IOT [PDF]
, 2012 Hong-ying Jin, Min Tian
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2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC), 2020 Deep learning and other machine learning approaches are deployed to many systems related to Internet of Things or IoT. However, it faces challenges that adversaries can take loopholes to hack these systems through tampering history data. This paper first presents overall points of adversarial machine learning.
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