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 …
Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey
The proliferation of urban sensing, IoT, and big data in cities provides unprecedented
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
opportunities for a deeper understanding of occupant behaviour and energy usage patterns …
IoT based smart parking system using deep long short memory network
Traffic congestion is one of the most notable urban transport problems, as it causes high
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
energy consumption and air pollution. Unavailability of free parking spaces is one of the …
Long-term spatio-temporal forecasting via dynamic multiple-graph attention
Many real-world ubiquitous applications, such as parking recommendations and air
pollution monitoring, benefit significantly from accurate long-term spatio-temporal …
pollution monitoring, benefit significantly from accurate long-term spatio-temporal …
Transfer learning for thermal comfort prediction in multiple cities
Abstract The HVAC (Heating, Ventilation and Air Conditioning) system is an important part of
a building, which constitutes up to 40% of building energy usage. The main purpose of …
a building, which constitutes up to 40% of building energy usage. The main purpose of …
A parking slot allocation framework based on virtual voting and adaptive pricing algorithm
Parking lot allocation problem has received much attention in recent years. There have been
various works in the literature that target the parking slot allocation problem. However, most …
various works in the literature that target the parking slot allocation problem. However, most …
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 …
Deep neural networks for spatial-temporal cyber-physical systems: A survey
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …
computational elements into physical processes to facilitate the control of physical systems …
Cross-position activity recognition with stratified transfer learning
Human activity recognition (HAR) aims to recognize the activities of daily living by utilizing
the sensors attached to different body parts. HAR relies on the machine learning models …
the sensors attached to different body parts. HAR relies on the machine learning models …
Enabling fog–blockchain computing for autonomous-vehicle-parking system: A solution to reinforce iot–cloud platform for future smart parking
With the advent of modern technologies, including the IoT and blockchain, smart-parking
(SP) systems are becoming smarter and smarter. Similar to other automated systems, and …
(SP) systems are becoming smarter and smarter. Similar to other automated systems, and …