Learn how to compute electric potential from multiple charges in this beginner-friendly physics tutorial! In this video, we break down the concepts, formulas, and step-by-step calculations needed to ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: This tutorial brief shows how Artificial Neural Networks (ANNs) can be used for the optimization and automated design of analog and mixed-signal circuits. A survey of conventional and ...
Abstract: Human-computer interaction (HCI) relies on understanding and adapting to users' emotional states. Micro-expressions (MEs), a critical component of emotional perception, are characterized by ...
Abstract: Performing brain simulations that match the size and dynamic nature of real brains is arduous but essential for understanding neural mechanisms underlying animal behaviour. To address this ...
Abstract: Statistical models of inter-point distances are pivotal for analyzing and optimizing wireless communication networks and other spatial systems, such as vehicular swarms and distributed ...
Abstract: Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlation ...
Abstract: The recent development in computer processing and memory performance, and the growing availability of satellite imageries have made deep learning and convolutional neural networks more ...
Abstract: 4D video control is essential in video generation as it enables the use of sophisticated lens techniques, such as multicamera shooting and dolly zoom, which are currently unsupported by ...
Abstract: Deep Neural Networks (DNNs) impose significant computational demands, necessitating optimizations for computational and energy efficiencies. Per-vector scaling, which applies a scaling ...
Abstract: The visualization and interactive exploration of geo-referenced networks poses challenges if the network’s nodes are not evenly distributed. Our approach proposes new ways of realizing ...