Abstract: Drug-Target Affinity (DTA) prediction plays a crucial role in drug discovery, and accurate DTA prediction can significantly reduce the cost of drug development. While most studies focus on ...
Abstract: As the aviation industry progresses towards More Electric Aircraft (MEA), the demand for robust and efficient data communication systems intensifies. Traditional fieldbus systems are ...
Abstract: The integration of Cognitive Internet of Things (IoT) sensors with autonomous aerial vehicles (AAVs) has transformed industrial sectors, such as monitoring, logistics, and infrastructure ...
Abstract: Spatiotemporal graph neural networks (STGNNs) have been adopted for predictive analysis in various scientific domains. Despite their promising performance, the dominance of big ...
Abstract: In recent years unmanned aerial vehicles are used in various inspection applications like construction operations, turbine, sewage water treatment, wind mill, power lines etc. In this study ...
After graduating early from Stanford, Shubham Goel and Ray Zhou co-founded Affinity, turning professional networks into a $500M relationship intelligence platform ...
Abstract: Knowledge Graphs (KGs) play a critical role in organizing structured data for applications such as semantic search, recommendation systems, and Artificial Intelligence (AI) analytics.
Abstract: The exponential growth in Internet-connected devices has escalated the demand for optimized network topologies to ensure high performance. Traditional optimization methods often fall short ...
Abstract: This proposed work introduces a comprehensive accident detection and risk assessment system that coordinate the strengths of Convolutional Neural Networks (CNNs) and a graph-based analytical ...
Abstract: Smooth and accurate global navigation satellite system (GNSS) positioning for pedestrians in urban canyons is still a challenge due to the multipath effects and the nonline-of-sight (NLOS) ...