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  1. 24 sie 2022 · The digital transformation of vehicles enables automakers to better diagnose abnormal conditions and predict the remaining useful life of dismantled components, thereby improving vehicle performance and safety.

  2. 1 sty 2005 · This research work proposed such a system that monitors a motorcycle as well as its rider’s condition using IoT devices and an expert system to diagnose the vehicle for fault identification.

  3. 1 sie 2017 · In this study we propose a model of an Expert System to diagnose a car failure and malfunction using Bayesian Approach.

  4. This paper proposes “An Integrated Self-diagnosis System (ISS) for an Autonomous Vehicle based on an Internet of Things (IoT) Gateway and Deep Learning” that collects information from the sensors of an autonomous vehicle, diagnoses itself, and the influence between its parts by using Deep Learning and informs the driver of the result.

  5. analysis which answers the question: can DoIP be used for vehicle diagnostics in a realistically modeled environment while fulfilling all the security attributes required to ensure the correct operation of safety-critical systems and thus avoiding harm to vehicle,

  6. On-Board Diagnostics (OBD) system is a computer-based system and widely used in the automotive industry. The OBD is designed to monitor and diagnose real-time vehicle states. The diagnostics system at VCC includes three parts: communication networks, a remote data centre and ECUs. The diagnostics data is saved in ECUs

  7. OtoMechanic is an end-user application for diagnosing automotive vehicle issues from an audio recording. It can diagnose many more issues than prior systems and is designed to be accessible by people with little or no expertise in automotive diagnosis or repair. OtoMechanic asks users to provide two inputs: 1) a recording of

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