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A survey of the connected vehicle landscape—Architectures, enabling technologies, applications, and development areas
This paper summarizes the state of the art in connected vehicles-from the need for vehicle
data and applications thereof, to enabling technologies, challenges, and identified …
data and applications thereof, to enabling technologies, challenges, and identified …
Modelling key performance indicators in a gamified waste management tool
Broader understanding of waste management has the potential to bring about broad societal
change impacting the climate crisis and public health. We present existing waste …
change impacting the climate crisis and public health. We present existing waste …
Selecting industrial IoT Platform for digital servitisation: a framework integrating platform leverage practices and cloud HBWM-TOPSIS approach
T Zhou, X Ming, Z Chen, R Miao - International Journal of …, 2023 - Taylor & Francis
Digital servitisation has emerged as an important strategy to enhance industrial companies'
competitiveness. Leveraging the IIoT (industrial internet of thing) platform is considered an …
competitiveness. Leveraging the IIoT (industrial internet of thing) platform is considered an …
A low-cost tire pressure loss detection framework using machine learning
The tire pressure state directly affects the safety and economy of the vehicle. Its monitoring is
gradually becoming a necessary function for all types of vehicles. However, the existing …
gradually becoming a necessary function for all types of vehicles. However, the existing …
Engine misfire detection with pervasive mobile audio
We address the problem of detecting whether an engine is misfiring by using machine
learning techniques on transformed audio data collected from a smartphone. We recorded …
learning techniques on transformed audio data collected from a smartphone. We recorded …
Automotive diagnostics as a service: An artificially intelligent mobile application for tire condition assessment
Vehicle tires must be maintained to assure performance, efficiency, and safety. Though
vehicle owners may monitor tread depth and air pressure, most are unaware of the safety …
vehicle owners may monitor tread depth and air pressure, most are unaware of the safety …
Detection of Oil-Water Emulsions in Oil Samples Using Low-Cost UHF RFID Sensors
A low-cost sensor integrating chipped ultrahigh-frequency radio frequency identification
(UHF RFID) and paper flow channels is designed to characterize water content (WC) in oil …
(UHF RFID) and paper flow channels is designed to characterize water content (WC) in oil …
An in-tire-pressure monitoring SoC using FBAR resonator-based ZigBee transceiver and deep learning models
In automobiles, tires play an important role in ensuring safe driving. Hence tire pressure
monitoring system (TPMS) has become the most important safety system in automobile …
monitoring system (TPMS) has become the most important safety system in automobile …
Data proxies, the cognitive layer, and application locality: enablers of cloud-connected vehicles and next-generation internet of things
JE Siegel - 2016 - dspace.mit.edu
Intelligent and Connected Vehicles reduce cost, improve safety, and enhance comfort
relative to isolated vehicles. This ability for cars to sense, infer, and act facilitates data-driven …
relative to isolated vehicles. This ability for cars to sense, infer, and act facilitates data-driven …
Air filter particulate loading detection using smartphone audio and optimized ensemble classification
Automotive engine intake filters ensure clean air delivery to the engine, though over time
these filters load with contaminants hindering free airflow. Today's open-loop approach to air …
these filters load with contaminants hindering free airflow. Today's open-loop approach to air …