Opportunities, applications, and challenges of edge-AI enabled video analytics in smart cities: a systematic review

E Badidi, K Moumane, F El Ghazi - IEEE Access, 2023 - ieeexplore.ieee.org
Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Batch size influence on performance of graphic and tensor processing units during training and inference phases

Y Kochura, Y Gordienko, V Taran, N Gordienko… - Advances in Computer …, 2020 - Springer
The impact of the maximally possible batch size (for the better runtime) on performance of
graphic processing units (GPU) and tensor processing units (TPU) during training and …

[HTML][HTML] IoT-enabled vehicle speed monitoring system

SU Khan, N Alam, SU Jan, IS Koo - Electronics, 2022 - mdpi.com
Millions of people lose their lives each year worldwide due to traffic law violations,
specifically, over speeding. The existing systems fail to report most of such violations due to …

IoT based framework for Vehicle Over-speed detection

MA Khan, SF Khan - 2018 1st International Conference on …, 2018 - ieeexplore.ieee.org
Automatic vehicle monitoring has turned out to be a very crucial scenario in the current
years. It may develop into possibility by executing the following technologies. This project …

Innovative Method for Predicting Vehicle Speed Detection using Fuzzy Local Information Means and CNN

R Umanesan, MN Rao, S Bhavana… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
Thanks to technological advancements, now have a number of options for obtaining traffic
data. Yet, the precision with which various technologies measure drivers' actual speeds …

Beacon Non-Transmission attack and its detection in intelligent transportation systems

F Altaf, K Prateek, S Maity - Internet of Things, 2022 - Elsevier
Message dropping by intermediate nodes as well as RF jamming attack have been studied
widely in ad hoc networks. In this paper, we thoroughly investigate a new type of attack in …

[PDF][PDF] An adaptive user authentication architecture for drunk driving and vehicle theft mitigation

EO Ofoegbu - Int. J. Eng. Manuf, 2022 - mecs-press.org
The high rate of vehicle theft and the loss of lives occasioned by drunk driving has caused
irreparable losses to people and businesses, from a personal, commercial and reputation …

Social Interaction Model

BJ Flesch - 2018 IEEE International Conference on Big Data …, 2018 - ieeexplore.ieee.org
This paper introduces a novel conceptual foundation for Social Set Analysis, the Social
Interaction Model. It contributes to the state-of-the-art theory in Big Social Data by extending …

Implementation of a Low-Cost and Intelligent Driver Monitoring System for Engine Locking in the Presence of Alcohol Detection or Drowsiness in Drivers

E Spaho, O Jaupi, A Cala - … Conference on Emerging Internet, Data & Web …, 2024 - Springer
In this paper we propose a low-cost Driver Monitoring System (DMS) designed to reduce
accidents caused by drunkenness and sleepiness and to enhance road safety. The main …

[PDF][PDF] FUZSLS: A Predictive Control System for Vehicular Speed Limit Application Using Fuzzy Logic

AY Gital, M Abdulhamid, M Abdulhameed… - International …, 2023 - academia.edu
Tremendous effort is required for controllers in industries; the design of these controllers is a
challenge for manufacturers and engineers. Proportional integral derivative (PID) controller …