[HTML][HTML] Modern data sources and techniques for analysis and forecast of road accidents: A review

C Gutierrez-Osorio, C Pedraza - Journal of traffic and transportation …, 2020 - Elsevier
Road accidents are one of the most relevant causes of injuries and death worldwide, and
therefore, they constitute a significant field of research on the use of advanced algorithms …

Data mining algorithms for smart cities: A bibliometric analysis

A Kousis, C Tjortjis - Algorithms, 2021 - mdpi.com
Smart cities connect people and places using innovative technologies such as Data Mining
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …

[LIBRO][B] Feature engineering for machine learning and data analytics

G Dong, H Liu - 2018 - books.google.com
Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …

[PDF][PDF] Citypulse: Large scale data analytics framework for smart cities

MI ALI, A MILEO, JX PARREIRA, M FISCHER… - 2016 - academia.edu
Our world and our lives are changing in many ways. Communication, networking, and
computing technologies are among the most influential enablers that shape our lives today …

A survey on an emerging area: Deep learning for smart city data

Q Chen, W Wang, F Wu, S De, R Wang… - … on Emerging Topics …, 2019 - ieeexplore.ieee.org
Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …

Real-time probabilistic data fusion for large-scale IoT applications

A Akbar, G Kousiouris, H Pervaiz, J Sancho… - Ieee …, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) data analytics is underpinning numerous applications, however, the
task is still challenging predominantly due to heterogeneous IoT data streams, unreliable …

Cyber–physical–social frameworks for urban big data systems: A survey

S De, Y Zhou, I Larizgoitia Abad, K Moessner - Applied Sciences, 2017 - mdpi.com
The integration of things' data on the Web and Web linking for things' description and
discovery is leading the way towards smart Cyber–Physical Systems (CPS). The data …

Shades of knowledge-infused learning for enhancing deep learning

A Sheth, M Gaur, U Kursuncu… - IEEE Internet …, 2019 - ieeexplore.ieee.org
Deep Learning has already proven to be the primary technique to address a number of
problems. It holds further promise in solving more challenging problems if we can overcome …

Resource provisioning for cyber–physical–social system in cloud-fog-edge computing using optimal flower pollination algorithm

V Porkodi, AR Singh, ARW Sait, K Shankar… - ieee …, 2020 - ieeexplore.ieee.org
The rise of cyber-physical-social systems (CPSS) as a novel paradigm has revolutionized
the relationship among humans, computers and physical environment. The key technologies …

Multi-modal generative adversarial networks for traffic event detection in smart cities

Q Chen, W Wang, K Huang, S De, F Coenen - Expert Systems with …, 2021 - Elsevier
Advances in the Internet of Things have enabled the development of many smart city
applications and expert systems that help citizens and authorities better understand the …