On big data, artificial intelligence and smart cities
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …
[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
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 …
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 …
[HTML][HTML] Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation
We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …
social, technological, economic, and ecological environments. The broad aim of our work is …
Big data and the united nations sustainable development goals (UN SDGs) at a glance
H Hassani, X Huang, S MacFeely… - Big Data and Cognitive …, 2021 - mdpi.com
The launch of the United Nations (UN) 17 Sustainable Development Goals (SDGs) in 2015
was a historic event, uniting countries around the world around the shared agenda of …
was a historic event, uniting countries around the world around the shared agenda of …
[HTML][HTML] From Twitter to traffic predictor: Next-day morning traffic prediction using social media data
The effectiveness of traditional traffic prediction methods, such as autoregressive or spatio-
temporal models, is often extremely limited when forecasting traffic dynamics in early …
temporal models, is often extremely limited when forecasting traffic dynamics in early …
UbiPriSEQ—Deep reinforcement learning to manage privacy, security, energy, and QoS in 5G IoT hetnets
5G networks and Internet of Things (IoT) offer a powerful platform for ubiquitous
environments with their ubiquitous sensing, high speeds and other benefits. The data …
environments with their ubiquitous sensing, high speeds and other benefits. The data …
Smarter traffic prediction using big data, in-memory computing, deep learning and GPUs
Road transportation is the backbone of modern economies, albeit it annually costs 1.25
million deaths and trillions of dollars to the global economy, and damages public health and …
million deaths and trillions of dollars to the global economy, and damages public health and …