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How to compute electric potential from multiple charges

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 ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
IEEE

SGG-Nets: Generic Rotation-Invariant Plugin Networks for Point Cloud Analysis

Abstract: Rotation invariance is a crucial requirement for the analysis of 3D point clouds. However, current methods often achieve rotation invariance by employing specific network designs. These ...
IEEE

Simulating Spiking Neural Networks with 8-Bit Floating-Point Numbers

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 ...
IEEE

Parameter Mapping of Distribution Substitution for Inter-Point Distances in Random Networks

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 ...
IEEE

A Tutorial on Quantum Computing and Deep Learning with Quantum Deep Neural Networks

Abstract: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...
IEEE

Urban Land Cover Classification Using Deep Neural Networks Based on VHR Multi-Spectral Image and Point Cloud Integration

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 ...
IEEE

HGG-Net: Hierarchical Geometry Generation Network for Point Cloud Completion

Abstract: Point cloud completion concerns the inference of the completed geometries for real-scanned point clouds that are sparse and incomplete due to occlusion, noise, and viewpoint. Previous ...
IEEE

GS-DiT: Advancing Video Generation with Dynamic 3D Gaussian Fields through Efficient Dense 3D Point Tracking

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 ...
IEEE

A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems

Abstract: The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as drones, is rapidly growing. In particular, with their inherent attributes such as mobility, ...
IEEE

Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks

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 ...