Deep learning challenges and prospects in wireless sensor network deployment
Y Qiu, L Ma, R Priyadarshi - Archives of Computational Methods in …, 2024 - Springer
This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …
Exploring machine learning solutions for overcoming challenges in IoT-based wireless sensor network routing: a comprehensive review
R Priyadarshi - Wireless Networks, 2024 - Springer
An industry-wide paradigm change has been sparked by the growth of Internet of Things
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …
Polar lights optimizer: Algorithm and applications in image segmentation and feature selection
C Yuan, D Zhao, AA Heidari, L Liu, Y Chen, H Chen - Neurocomputing, 2024 - Elsevier
Abstract This study introduces Polar Lights Optimization (PLO), an algorithm based on the
aurora phenomenon or polar lights. The aurora is a unique natural spectacle that occurs …
aurora phenomenon or polar lights. The aurora is a unique natural spectacle that occurs …
FATA: an efficient optimization method based on geophysics
A Qi, D Zhao, AA Heidari, L Liu, Y Chen, H Chen - Neurocomputing, 2024 - Elsevier
An efficient swarm intelligence algorithm is proposed to solve continuous multi-type
optimization problems, named the fata morgana algorithm (FATA). By mimicking the process …
optimization problems, named the fata morgana algorithm (FATA). By mimicking the process …
The educational competition optimizer
J Lian, T Zhu, L Ma, X Wu, AA Heidari… - … Journal of Systems …, 2024 - Taylor & Francis
In recent research, metaheuristic strategies stand out as powerful tools for complex
optimization, capturing widespread attention. This study proposes the Educational …
optimization, capturing widespread attention. This study proposes the Educational …
A GSO‐based multi‐objective technique for performance optimization of blockchain‐based industrial Internet of things
The latest developments in the industrial Internet of things (IIoT) have opened up a collection
of possibilities for many industries. To solve the massive IIoT data security and efficiency …
of possibilities for many industries. To solve the massive IIoT data security and efficiency …
Ubiquitous computation in internet of vehicles for human-centric transport systems
Abstract The Internet of Vehicles (IoV) has the potential to bring about a revolutionary
transformation in transportation through its influence on human behavior and interactions …
transformation in transportation through its influence on human behavior and interactions …
Enhancing robot path planning through a twin-reinforced chimp optimization algorithm and evolutionary programming algorithm
The importance of efficient path planning (PP) cannot be overstated in the domain of robots,
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …
as it involves the utilization of intelligent algorithms to determine the optimal trajectory for …
Optimizing dynamic economic dispatch through an enhanced Cheetah-inspired algorithm for integrated renewable energy and demand-side management
This study presents the Enhanced Cheetah Optimizer Algorithm (ECOA) designed to tackle
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …
the intricate real-world challenges of dynamic economic dispatch (DED). These complexities …
A novel framework for vehicle detection and tracking in night ware surveillance systems
In the field of traffic surveillance systems, where effective traffic management and safety are
the primary concerns, vehicle detection and tracking play an important role. Low brightness …
the primary concerns, vehicle detection and tracking play an important role. Low brightness …