Digital twin smart cities for disaster risk management: a review of evolving concepts
MRMF Ariyachandra, G Wedawatta - Sustainability, 2023 - mdpi.com
Natural hazard-induced disasters have caused catastrophic damage and loss to buildings,
infrastructure, and the affected communities as a whole during the recent decades and their …
infrastructure, and the affected communities as a whole during the recent decades and their …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
Crowdsourced data mining for urban activity: Review of data sources, applications, and methods
The penetration of devices integrated with location-based services and internet services has
generated massive data about the everyday life of citizens and tracked their activities …
generated massive data about the everyday life of citizens and tracked their activities …
Big forensic data reduction: digital forensic images and electronic evidence
D Quick, KKR Choo - Cluster Computing, 2016 - Springer
An issue that continues to impact digital forensics is the increasing volume of data and the
growing number of devices. One proposed method to deal with the problem of “big digital …
growing number of devices. One proposed method to deal with the problem of “big digital …
[PDF][PDF] UNSCARF-a color vision system for the detection of unstructured roads.
JD Crisman, CE Thorpe - ICRA, 1991 - ri.cmu.edu
This research addresses the problem of navigating a robot vehicle on unstructured roads,
which have no lane markings, may have degraded surfaces and edges, and may be partially …
which have no lane markings, may have degraded surfaces and edges, and may be partially …
An Arabic social media based framework for incidents and events monitoring in smart cities
Smart city initiatives aim at leveraging human, collective, and technological capital to ensure
sustainable development and quality of life for their citizens. Offering efficient and …
sustainable development and quality of life for their citizens. Offering efficient and …
[PDF][PDF] Intelligent Microservice Based on Blockchain for Healthcare Applications.
Nowadays, the blockchain, Internet of Things, and artificial intelligence technology
revolutionize the traditional way of data mining with the enhanced data preprocessing, and …
revolutionize the traditional way of data mining with the enhanced data preprocessing, and …
Wireless sensor network node optimal coverage based on improved genetic algorithm and binary ant colony algorithm
J Tian, M Gao, G Ge - EURASIP Journal on Wireless Communications and …, 2016 - Springer
Considering the situation of some practical factors such as energy saving of the nodes and
the high density of distributing nodes in wireless sensor networks, a wireless sensor network …
the high density of distributing nodes in wireless sensor networks, a wireless sensor network …
Mobile crowd sensing of human-like intelligence using social sensors: A survey
Recently, with the fast proliferation of smart phones, mobile phone has the powerful ability of
not only communication but also computation. Human beings are not only data consumers …
not only communication but also computation. Human beings are not only data consumers …
Harnessing the power of crowdsourcing and Internet of Things in disaster response
Abstract Crowdsourcing and Internet of Things (IoT) are gaining more and more attention
both in industry and academia in order to explore their effects on disaster relief. The current …
both in industry and academia in order to explore their effects on disaster relief. The current …