[HTML][HTML] Modern data sources and techniques for analysis and forecast of road accidents: A review
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 …
therefore, they constitute a significant field of research on the use of advanced algorithms …
Data mining algorithms for smart cities: A bibliometric analysis
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 …
(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
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 …
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
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 …
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
Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …
congestion, environmental pollution, energy consumption, public safety, and so on …
Real-time probabilistic data fusion for large-scale IoT applications
Internet of Things (IoT) data analytics is underpinning numerous applications, however, the
task is still challenging predominantly due to heterogeneous IoT data streams, unreliable …
task is still challenging predominantly due to heterogeneous IoT data streams, unreliable …
Cyber–physical–social frameworks for urban big data systems: A survey
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 …
discovery is leading the way towards smart Cyber–Physical Systems (CPS). The data …
Shades of knowledge-infused learning for enhancing deep learning
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 …
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
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 …
the relationship among humans, computers and physical environment. The key technologies …
Multi-modal generative adversarial networks for traffic event detection in smart cities
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 …
applications and expert systems that help citizens and authorities better understand the …