IEEE

DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory Prediction

Abstract: Accurate and reliable pedestrian trajectory prediction can reduce the risk of human-vehicle collisions and predict accidents in advance, which is crucial for developing autonomous driving ...
IEEE

UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data

Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...
AlphaGalileo

PlantIF: Revolutionizing plant disease diagnosis with multimodal learning for precision agriculture

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Investopedia

Understanding Straight-Line Basis for Depreciation and Amortization

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Amy is an ACA and the CEO and founder ...
BBC

Distance-time graphs

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
Investopedia

Understanding Growth Curves: Definitions, Uses, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...