Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
A Heidari, NJ Navimipour, M Unal - Sustainable Cities and Society, 2022 - Elsevier
The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …
resources while enhancing the quality of life. To establish a sustainable urban existence …
Smart city as a smart service system: Human-computer interaction and smart city surveillance systems
Smart city services, smart applications and smart devices form an ecosystem of tools and
artifacts that challenge, and times even disrupt, conventions, norms, and rites of behavior …
artifacts that challenge, and times even disrupt, conventions, norms, and rites of behavior …
Mobile phone data: A survey of techniques, features, and applications
Due to the rapid growth in the use of smartphones, the digital traces (eg, mobile phone data,
call detail records) left by the use of these devices have been widely employed to assess …
call detail records) left by the use of these devices have been widely employed to assess …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
[HTML][HTML] Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …
transportation. Nowadays, mobility data have become increasingly available with the …
[HTML][HTML] TaxoDaCML: Taxonomy based Divide and Conquer using machine learning approach for DDoS attack classification
O Thorat, N Parekh, R Mangrulkar - International Journal of Information …, 2021 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is one of the most dangerous attacks
that result in bringing down the server (s) and it is essential to classify the exact attack to …
that result in bringing down the server (s) and it is essential to classify the exact attack to …
[HTML][HTML] Smart governance for smart cities and nations
ZRMA Kaiser - Journal of Economy and Technology, 2024 - Elsevier
There is an increasing emphasis on utilizing ICT to drive global governmental transformation
to enhance efficiency and cost-effective service delivery. Smart governance represents a …
to enhance efficiency and cost-effective service delivery. Smart governance represents a …
Blockchain enabled data security in vehicular networks
Recently, researchers have applied blockchain technology in vehicular networks to take
benefit of its security features, such as confidentiality, authenticity, immutability, integrity, and …
benefit of its security features, such as confidentiality, authenticity, immutability, integrity, and …
Information management as a dual-purpose process in the smart city: Collecting, managing and utilizing information
The exponential increase in urbanization places the question of wellbeing in cities and
urban areas at the heart of the policy debate. Advances in ICT, along with digitization …
urban areas at the heart of the policy debate. Advances in ICT, along with digitization …
A survey of graph unlearning
Graph unlearning emerges as a crucial advancement in the pursuit of responsible AI,
providing the means to remove sensitive data traces from trained models, thereby upholding …
providing the means to remove sensitive data traces from trained models, thereby upholding …