A systematic review on cognitive radio in low power wide area network for industrial IoT applications
The Industrial Internet of things (IIoT) helps several applications that require power control
and low cost to achieve long life. The progress of IIoT communications, mainly based on …
and low cost to achieve long life. The progress of IIoT communications, mainly based on …
[Retracted] Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
L Elmoiz Alatabani, E Sayed Ali… - Journal of Advanced …, 2022 - Wiley Online Library
Recently, artificial intelligence (AI) technology has great attention in transportation systems,
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …
Energy valley optimizer: a novel metaheuristic algorithm for global and engineering optimization
Abstract In this paper, Energy Valley Optimizer (EVO) is proposed as a novel metaheuristic
algorithm inspired by advanced physics principles regarding stability and different modes of …
algorithm inspired by advanced physics principles regarding stability and different modes of …
Fly ash-based geopolymer concrete's compressive strength estimation by applying artificial intelligence methods
G Pazouki - Measurement, 2022 - Elsevier
Geopolymer concrete is a kind of eco-friendly concrete and its important characteristic is that
the cement is completely or partially removed from its mixture and other materials such as …
the cement is completely or partially removed from its mixture and other materials such as …
A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments
Background This review focuses on reviewing the recent publications of swarm intelligence
algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee …
algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee …
Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai 'i
To address the growing global concern regarding increased wildfire occurrences and their
widespread socio-ecological impacts, cost-effective and practical approaches must be …
widespread socio-ecological impacts, cost-effective and practical approaches must be …
Efficient energy mechanism in heterogeneous WSNs for underground mining monitoring applications
Wireless Sensor Networks (WSNs) play an important role in underground mining
applications. In particular, they help to collect information using sensors and provide …
applications. In particular, they help to collect information using sensors and provide …
Lp-mab: Improving the energy efficiency of lorawan using a reinforcement-learning-based adaptive configuration algorithm
In the Internet of Things (IoT), Low-Power Wide-Area Networks (LPWANs) are designed to
provide low energy consumption while maintaining a long communications' range for End …
provide low energy consumption while maintaining a long communications' range for End …
[HTML][HTML] Frequency control of nuclear-renewable hybrid energy systems using optimal PID and FOPID controllers
This paper investigates the applications of Proportional-Integrator-Derivative (PID) and
Fractional Order PID (FOPID) controllers in Nuclear-Renewable Hybrid Energy Systems (NR …
Fractional Order PID (FOPID) controllers in Nuclear-Renewable Hybrid Energy Systems (NR …
IoT-based hybrid optimized fuzzy threshold ELM model for localization of elderly persons
Due to the quickly aging population, the number of elderly persons is rapidly increasing,
posing significant challenges for monitoring and assisting them in indoor and outdoor …
posing significant challenges for monitoring and assisting them in indoor and outdoor …