Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases
Abstract Automatic Number Plate Recognition (ANPR) technology has been intensively
engaged in managing the smartification and digitalization of cities in recent years as an …
engaged in managing the smartification and digitalization of cities in recent years as an …
Predicting the precise number of software defects: Are we there yet?
Abstract Context: Defect Number Prediction (DNP) models can offer more benefits than
classification-based defect prediction. Recently, many researchers proposed to employ …
classification-based defect prediction. Recently, many researchers proposed to employ …
Fusion of finite element and machine learning methods to predict rock shear strength parameters
D Zhu, B Yu, D Wang, Y Zhang - Journal of Geophysics and …, 2024 - academic.oup.com
The trial-and-error method for calibrating rock mechanics parameters has the disadvantages
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …
Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing
Metal additive manufacturing provides remarkable flexibility in geometry and component
design, but localized heating/cooling heterogeneity leads to spatial variations of as-built …
design, but localized heating/cooling heterogeneity leads to spatial variations of as-built …
Machine learning at the edge: A data-driven architecture with applications to 5G cellular networks
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy
the ultra-low latency demand of future applications. In this paper, we argue that such …
the ultra-low latency demand of future applications. In this paper, we argue that such …
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
Traffic accident management is a critical issue for advanced intelligent traffic management.
The increasingly abundant crowdsourcing data and floating car data provide new support for …
The increasingly abundant crowdsourcing data and floating car data provide new support for …
Spatial and seasonal variations of sand-dust events and their relation to atmospheric conditions and vegetation cover in semi-arid regions of central Iran
Atmospheric conditions and physical characteristics of the earth surface have an important
effect on the spatiotemporal variations of sand-dust events. The main objective of the …
effect on the spatiotemporal variations of sand-dust events. The main objective of the …
Analysis of real-time crash risk for expressway ramps using traffic, geometric, trip generation, and socio-demographic predictors
There have been numerous studies on real-time crash prediction seeking to link real-time
crash likelihood with traffic and environmental predictors. Nevertheless, none has explored …
crash likelihood with traffic and environmental predictors. Nevertheless, none has explored …
Congestion, road safety, and the effectiveness of public policies in urban areas
D Albalate, X Fageda - Sustainability, 2019 - mdpi.com
Congestion and road accidents are both considered essential challenges for sustainable
mobility in large cities, but their relationship is only partially explored by the literature. In this …
mobility in large cities, but their relationship is only partially explored by the literature. In this …
[HTML][HTML] On the relationship between congestion and road safety in cities
D Albalate, X Fageda - Transport policy, 2021 - Elsevier
We empirically examine the relationship between traffic congestion and deaths in road
accidents at the city level. We use panel data from 129 large cities in Europe for the period …
accidents at the city level. We use panel data from 129 large cities in Europe for the period …