Performance analysis of IoT-based sensor, big data processing, and machine learning model for real-time monitoring system in automotive manufacturing
With the increase in the amount of data captured during the manufacturing process,
monitoring systems are becoming important factors in decision making for management …
monitoring systems are becoming important factors in decision making for management …
Tomato leaf disease detection using convolutional neural networks
P Tm, A Pranathi, K SaiAshritha… - 2018 eleventh …, 2018 - ieeexplore.ieee.org
The tomato crop is an important staple in the Indian market with high commercial value and
is produced in large quantities. Diseases are detrimental to the plant's health which in turn …
is produced in large quantities. Diseases are detrimental to the plant's health which in turn …
A review on cybersecurity of cloud computing for supporting connected vehicle applications
In an Internet of Things (IoT) environment, cloud computing is emerging as a technologically
feasible and economically viable solution for supporting real-time and non-real-time …
feasible and economically viable solution for supporting real-time and non-real-time …
Time barrier-based emergency message dissemination in vehicular ad-hoc networks
With the advancement in technology and inception of smart vehicles and smart cities, every
vehicle can communicate with the other vehicles either directly or through ad-hoc networks …
vehicle can communicate with the other vehicles either directly or through ad-hoc networks …
A topological approach to secure message dissemination in vehicular networks
Secure message dissemination is an important issue in vehicular networks, especially
considering the vulnerability of vehicle-to-vehicle message dissemination to malicious …
considering the vulnerability of vehicle-to-vehicle message dissemination to malicious …
Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace
Crowdsourcing has significantly motivated the development of meteorological services.
Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven …
Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven …
On the limitations of physics-informed deep learning: Illustrations using first order hyperbolic conservation law-based traffic flow models
Since its introduction in 2017, physics-informed deep learning (PIDL) has garnered growing
popularity in understanding the systems governed by physical laws in terms of partial …
popularity in understanding the systems governed by physical laws in terms of partial …
Lessons learned from the real-world deployment of a connected vehicle testbed
M Chowdhury, M Rahman… - Transportation …, 2018 - journals.sagepub.com
The connected vehicle (CV) system promises unprecedented safety, mobility,
environmental, economic, and social benefits, which can be unlocked using the enormous …
environmental, economic, and social benefits, which can be unlocked using the enormous …
Bridging MQTT and Kafka to support C-ITS: A feasibility study
Å Hugo, B Morin, K Svantorp - 2020 21st IEEE International …, 2020 - ieeexplore.ieee.org
Nowadays, every vehicle is wirelessly connected, often by both itself and its passengers.
The same goes for all the continuously growing number of devices alongside the …
The same goes for all the continuously growing number of devices alongside the …
Artificial intelligence of things at the edge: Scalable and efficient distributed learning for massive scenarios
Federated Learning (FL) is a distributed optimization method in which multiple client nodes
collaborate to train a machine learning model without sharing data with a central server …
collaborate to train a machine learning model without sharing data with a central server …