[PDF][PDF] Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
Swarm intelligence for next-generation networks: Recent advances and applications
In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …
extremely important to ensure that healthy food is available for the survival of the inhabitants …
Flow direction algorithm (FDA): a novel optimization approach for solving optimization problems
The present study aimed to propose a new optimization algorithm named Flow Direction
Algorithm (FDA), which is a physics-based algorithm. The FDA algorithm mimics the flow …
Algorithm (FDA), which is a physics-based algorithm. The FDA algorithm mimics the flow …
Multi-objective cluster head selection using fitness averaged rider optimization algorithm for IoT networks in smart cities
Typically, there are a lot of challenges to be faced with providing better performance and
energy optimization in the Internet of Things (IoT) in a smart city. In IoT and wireless sensor …
energy optimization in the Internet of Things (IoT) in a smart city. In IoT and wireless sensor …
Task offloading in fog computing for using smart ant colony optimization
A Kishor, C Chakarbarty - Wireless personal communications, 2022 - Springer
In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …
applications in task offloading. In time-sensitive real-time applications, latency is a major …
Parameter estimation of photovoltaic models using an improved marine predators algorithm
M Abdel-Basset, D El-Shahat, RK Chakrabortty… - Energy Conversion and …, 2021 - Elsevier
The abundance of solar energy as one of the clean energy forms offers a great advantage
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …
as an alternative to non-renewable energy sources. The photovoltaic system is a promising …
An integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals
Deep learning, for image data processing, has been widely used to solve a variety of
problems related to medical practices. However, researchers are constantly struggling to …
problems related to medical practices. However, researchers are constantly struggling to …
Optimal 5G network slicing using machine learning and deep learning concepts
Network slicing is predetermined to hold up the diversity of emerging applications with
enhanced performance and flexibility requirements in the way of splitting the physical …
enhanced performance and flexibility requirements in the way of splitting the physical …