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Review of artificial intelligence for enhancing intrusion detection in the internet of things
M Saied, S Guirguis, M Madbouly - Engineering Applications of Artificial …, 2024 - Elsevier
Internet of Things is sha** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …
for resource optimization and sustainability. Traditional practices often prove insufficient in …
IoT in smart cities: A survey of technologies, practices and challenges
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …
smart city advancement activities have increased. A recycling process of waste relies on the …
Achieving sustainable smart cities through geospatial data-driven approaches
In recent years, the concept of smart cities has become increasingly important in the pursuit
of sustainable development goals. In general, common urban challenges have been …
of sustainable development goals. In general, common urban challenges have been …
[HTML][HTML] Smart waste management and classification systems using cutting edge approach
With a rapid increase in population, many problems arise in relation to waste dumps. These
emits hazardous gases, which have negative effects on human health. The main issue is the …
emits hazardous gases, which have negative effects on human health. The main issue is the …
Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest …
Hazardous healthcare waste (HCW) management system is one of the most critical urban
systems affected by the COVID-19 pandemic due to the increase in waste generation rate in …
systems affected by the COVID-19 pandemic due to the increase in waste generation rate in …
Smart waste management and classification system for smart cities using deep learning
For modern city environments to be renewable and clean, waste management and recycling
are essential. Solid waste management, disposal, and recycling are issues in many …
are essential. Solid waste management, disposal, and recycling are issues in many …
A survey of AI techniques in IoT applications with use case investigations in the smart environmental monitoring and analytics in real-time IoT platform
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
Analytics in Real-Time) IoT application server platform for fast deployments of IoT …
[HTML][HTML] 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 …