Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
A new international study points to a specific brain network as the core driver of Parkinson’s disease. Scientists found that ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Deep brain stimulation (DBS) improves motor symptoms of Parkinson's disease by modulating a specific brain network that is mainly active in the fast beta frequency range (20 to 35 Hz). This conclusion ...
Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...
Abstract: One of the main concerns in blockchain (BC) systems is throughput growth. To solve this issue, several improvements and a new gossip algorithm are put forth; however, they are inevitably ...
State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
Abstract: To enhance the intelligence of autonomous trajectory planning for Autonomous underwater vehicles (AUVs) in complex Ocean environments, we propose a reinforcement learning algorithm for 3D ...
IOD distinguishes itself as scientific home for researchers working at the boundaries of traditional academic spheres, and generating growing programs in the integration of research with informatics ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results