Generative adversarial networks for spatio-temporal data: A survey
Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review
Traditional occupant behavior modeling has been studied at the building level, and it has
become an important factor in the investigation of building energy consumption. However …
become an important factor in the investigation of building energy consumption. However …
Spatiotemporal data mining: a survey on challenges and open problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …
between space and time. Several available surveys capture STDM advances and report a …
Parking availability prediction with long short term memory model
Traffic congestion causes heavily energy consumption, carbon dioxide emission and air
pollution in cities, which is usually created by cars searching on-street parking spaces …
pollution in cities, which is usually created by cars searching on-street parking spaces …
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia.
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …
The data capture contained two elements: First, a 5-month longitudinal field study In-Gauge …
Parking prediction in smart cities: A survey
With the growing number of cars in cities, smart parking is gradually becoming a strategic
issue in building a smart city. As the precondition in smart parking, accurate parking …
issue in building a smart city. As the precondition in smart parking, accurate parking …
An efficient and unique TF/IDF algorithmic model-based data analysis for handling applications with big data streaming
As the field of data science grows, document analytics has become a more challenging task
for rough classification, response analysis, and text summarization. These tasks are used for …
for rough classification, response analysis, and text summarization. These tasks are used for …
Traveling officer problem: Managing car parking violations efficiently using sensor data
The on-street parking system is an indispensable part of civic projects, as it provides
travelers and shoppers with parking spaces. With the recent in-ground sensors deployed …
travelers and shoppers with parking spaces. With the recent in-ground sensors deployed …
Hybrid spatial–temporal graph convolutional networks for on-street parking availability prediction
With the development of sensors and of the Internet of Things (IoT), smart cities can provide
people with a variety of information for a more convenient life. Effective on-street parking …
people with a variety of information for a more convenient life. Effective on-street parking …
Dynamic variable precision rough set approach for probabilistic set-valued information systems
Set-valued information systems are important type of data tables in many real applications,
where the attribute values are described by sets to characterize uncertain and incomplete …
where the attribute values are described by sets to characterize uncertain and incomplete …