A new hub at Wolverhampton University has been set up to look at how Virtual Reality (VR) and Artificial Intelligence (AI) can be used to improve research, business and culture.
Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to ...
Abstract: Federated learning allows users to collaboratively train models, but studies have shown that local model parameters may leak users’ privacy. Furthermore, the global model in federated ...
Abstract: Recently, a series of evolutionary algorithms have been proposed to enhance the search efficiency when handling large-scale multiobjective optimization problems (LSMOPs). Among them, ...
Scouring remote areas for missing walkers and climbers can take rescuers weeks and sometimes months. AI can do the job in a ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Abstract: In order to evaluate the condition of oil pipeline, the main nondestructive testing method currently used is magnetic flux leakage testing technology. The magnetic flux leakage data of ...
Abstract: This study proposes a low-level radio frequency (LLRF) feedback control algorithm based on reinforcement learning (RL) using the soft actor–critic (SAC) and proximal policy optimization (PPO ...
Abstract: Reptile is an innovative meta-learning approach that improves the process of neural networks training across diverse tasks. Reptile differs from the preference gradient strategies. It ...
Abstract: This article proposes an improved deep reinforcement learning algorithm for complete coverage path planning of mobile robots. The algorithm addresses the issue of agents easily getting ...
Abstract: This study presents deep learning models' design, implementation, and evaluation to generate personalized learning paths in educational environments. Data was collected from diverse sources, ...
Abstract: Wireless Sensor Networks (WSNs) find extensive applications in environmental monitoring, healthcare, and smart cities. Energy efficiency, however, continues to be a significant challenge ...