Energy management systems in sustainable smart cities based on the internet of energy: A technical review
In this paper, we exploit state-of-the-art energy management in sustainable smart cities
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …
Early detection of earthquakes using iot and cloud infrastructure: A survey
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
Employing machine learning and iot for earthquake early warning system in smart cities
An earthquake early warning system (EEWS) should be included in smart cities to preserve
human lives by providing a reliable and efficient disaster management system. This system …
human lives by providing a reliable and efficient disaster management system. This system …
Seismic intensity estimation for earthquake early warning using optimized machine learning model
MS Abdalzaher, MS Soliman… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The need for an earthquake early-warning system (EEWS) is unavoidable to save lives. In
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …
terms of managing earthquake disasters and achieving effective risk mitigation, the quick …
Satellite edge computing with collaborative computation offloading: An intelligent deep deterministic policy gradient approach
Enabling a satellite network with edge computing capabilities can complement the
advantages further of a single terrestrial network and provide users with a full range of …
advantages further of a single terrestrial network and provide users with a full range of …
Load-balanced virtual network embedding based on deep reinforcement learning for 6G regional satellite networks
Regional satellite networks are capable of supporting denser coverage and more reliable
communications in the target area and hence have been viewed as an essential part of the …
communications in the target area and hence have been viewed as an essential part of the …
Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Biosymbiotic platform for chronic long-range monitoring of biosignals in limited resource settings
Remote patient monitoring is a critical component of digital medicine, and the COVID-19
pandemic has further highlighted its importance. Wearable sensors aimed at noninvasive …
pandemic has further highlighted its importance. Wearable sensors aimed at noninvasive …
Uplink multiple access with semi-grant-free transmission in integrated satellite-aerial-terrestrial networks
This paper investigates a semi-grant-free (SGF) based transmission strategy to provide a
flexible connectivity for various kinds of users in an integrated satellite-aerial-terrestrial …
flexible connectivity for various kinds of users in an integrated satellite-aerial-terrestrial …
Toward secured iot-based smart systems using machine learning
Machine learning (ML) and the internet of things (IoT) are among the most booming
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …