Blockchain and the 'Internet of Things' for the construction industry: research trends and opportunities
Various applications integrating Blockchain with the Internet of Things (IoT) have emerged in
recent years. While industries such as automotive have embraced this integration …
recent years. While industries such as automotive have embraced this integration …
Wireless communication protocols in smart agriculture: A review on applications, challenges and future trends
IoT based smart agriculture systems are important for efficient usage of lands, water, and
energy resources. Wireless communication protocols constitute a critical part of smart …
energy resources. Wireless communication protocols constitute a critical part of smart …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
Enhancing traffic intelligence in smart cities using sustainable deep radial function
AG Ismaeel, J Mary, A Chelliah, J Logeshwaran… - Sustainability, 2023 - mdpi.com
Smart cities have revolutionized urban living by incorporating sophisticated technologies to
optimize various aspects of urban infrastructure, such as transportation systems. Effective …
optimize various aspects of urban infrastructure, such as transportation systems. Effective …
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 …
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities
An anomaly exposure system's foremost objective is to categorize the behavior of the system
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
into normal and untruthful actions. To estimate the possible incidents, the administrators of …
[HTML][HTML] Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems: Potential, issues and …
Modern cities dynamically face several challenges including digitalization, sustainability,
resilience and economic development. Urban planners and designers must develop urban …
resilience and economic development. Urban planners and designers must develop urban …
T-YOLO: Tiny vehicle detection based on YOLO and multi-scale convolutional neural networks
To solve real-life problems for different smart city applications, using deep Neural Network,
such as parking occupancy detection, requires fine-tuning of these networks. For large …
such as parking occupancy detection, requires fine-tuning of these networks. For large …
Intelligent management of bike sharing in smart cities using machine learning and Internet of Things
SCK Tekouabou - Sustainable Cities and Society, 2021 - Elsevier
Global ecological requirements are pushing city actors to opt for ecological solutions at all
levels, including urban mobility. More sustainable Bike-sharing systems (BSS) have become …
levels, including urban mobility. More sustainable Bike-sharing systems (BSS) have become …
Understanding sensor cities: Insights from technology giant company driven smart urbanism practices
The data-driven approach to sustainable urban development is becoming increasingly
popular among the cities across the world. This is due to cities' attention in supporting smart …
popular among the cities across the world. This is due to cities' attention in supporting smart …