Abstract: Wireless Sensor Networks (WSNs) play a pivotal role in modern applications such as environmental monitoring, healthcare, and smart cities. Optimizing the topology of WSNs is essential to ...

Abstract: This study investigates the use of Multi-Objective Particle Swarm Optimization (MOPSO) to optimize the hyper-parameters of Cooperative Adaptive Cruise Control (CACC) controllers, aiming to ...

The autonomous nodes used for monitoring environments are known as Wireless Sensor Networks. The major use of Multi-Objective particle swarm optimization for maximizing coverage & life time using ...

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, it's a useful alternative. Particle swarm optimization ...

In a disaster, every second is critical. Large-scale disasters, such as earthquakes, hurricanes, and landslides, often involve trapped or stranded survivors in need of rescue, and locating them as ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...