[HTML][HTML] Algorithmic urban planning for smart and sustainable development: Systematic review of the literature
TH Son, Z Weedon, T Yigitcanlar, T Sanchez… - Sustainable Cities and …, 2023 - Elsevier
In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …
economic, social, environmental, and governance challenges. Thanks to its advanced …
MCDM-based flood risk assessment of metro systems in smart city development: A review
This study presents a review of the multi-criteria decision making (MCDM) methods for flood
risk assessment of metro systems in smart city development. Suggestive perspectives of a …
risk assessment of metro systems in smart city development. Suggestive perspectives of a …
Can building “artificially intelligent cities” safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar's perspective
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
pace. With highly sophisticated capabilities, AI has the potential to dramatically change our …
Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments
Artificial intelligence (AI) has taken us by storm, helping us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …
[HTML][HTML] Small pests detection in field crops using deep learning object detection
Deep learning algorithms, such as convolutional neural networks (CNNs), have been widely
studied and applied in various fields including agriculture. Agriculture is the most important …
studied and applied in various fields including agriculture. Agriculture is the most important …
Sehaa: A big data analytics tool for healthcare symptoms and diseases detection using Twitter, Apache Spark, and Machine Learning
Smartness, which underpins smart cities and societies, is defined by our ability to engage
with our environments, analyze them, and make decisions, all in a timely manner …
with our environments, analyze them, and make decisions, all in a timely manner …
Iktishaf+: a big data tool with automatic labeling for road traffic social sensing and event detection using distributed machine learning
Digital societies could be characterized by their increasing desire to express themselves
and interact with others. This is being realized through digital platforms such as social media …
and interact with others. This is being realized through digital platforms such as social media …
Iktishaf: A big data road-traffic event detection tool using Twitter and spark machine learning
Road transportation is the backbone of modern economies despite costing annually millions
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …
Big Spatiotemporal Data Analytics: A research and innovation frontier
Big Data have emerged and become the norm in the past decade with its well-known 4V
challenges and now adds value (a 5th V) for scientific research and the development of new …
challenges and now adds value (a 5th V) for scientific research and the development of new …
Deep learning support for intelligent transportation systems
J Guerrero‐Ibañez… - Transactions on …, 2021 - Wiley Online Library
Abstract Intelligent Transportation Systems (ITS) help improve the ever‐increasing vehicular
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …
flow and traffic efficiency in urban traffic to reduce the number of accidents. The generation …