Internet of Things and Big Data as enablers for business digitalization strategies
Digitization blurs the lines between technology and management, facilitating new business
models built upon the concepts, methods and tools of the digital environment. The purpose …
models built upon the concepts, methods and tools of the digital environment. The purpose …
Air quality prediction in smart cities using machine learning technologies based on sensor data: a review
The influence of machine learning technologies is rapidly increasing and penetrating almost
in every field, and air pollution prediction is not being excluded from those fields. This paper …
in every field, and air pollution prediction is not being excluded from those fields. This paper …
[HTML][HTML] Smart cities with big data: Reference models, challenges, and considerations
Cities worldwide are attempting to transform themselves into smart cities. Recent cases and
studies show that a key factor in this transformation is the use of urban big data from …
studies show that a key factor in this transformation is the use of urban big data from …
Smart city and IoT
Abstract The new Internet of Things (IoT) applications are enabling Smart City initiatives
worldwide. It provides the ability to remotely monitor, manage and control devices, and to …
worldwide. It provides the ability to remotely monitor, manage and control devices, and to …
Knowledge growth and development: internet of things (IoT) research, 2006–2018
Abstract The term" Internet of Things" first appeared in publication paper since 2006,
describing the paradigm of evolution concept that brought about by the presence of internet …
describing the paradigm of evolution concept that brought about by the presence of internet …
An IoT platform based on microservices and serverless paradigms for smart farming purposes
Nowadays, the concept of “Everything is connected to Everything” has spread to reach
increasingly diverse scenarios, due to the benefits of constantly being able to know, in real …
increasingly diverse scenarios, due to the benefits of constantly being able to know, in real …
Wireless sensor network combined with cloud computing for air quality monitoring
Low-cost air pollution wireless sensors are emerging in densely distributed networks that
provide more spatial resolution than typical traditional systems for monitoring ambient air …
provide more spatial resolution than typical traditional systems for monitoring ambient air …
[HTML][HTML] An unsupervised TinyML approach applied to the detection of urban noise anomalies under the smart cities environment
Abstract Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …
A blockchain-inspired attribute-based zero-trust access control model for IoT
The connected or smart environment is the integration of smart devices (sensors, IoT
devices, or actuator) into the Internet of Things (IoT) paradigm, in which a large number of …
devices, or actuator) into the Internet of Things (IoT) paradigm, in which a large number of …
Understanding sensor cities: Insights from technology giant company driven smart urbanism practices
The data-driven approach to sustainable urban development is becoming increasingly
popular among the cities across the world. This is due to cities' attention in supporting smart …
popular among the cities across the world. This is due to cities' attention in supporting smart …