It’s about to get easier to catch and analyze a high-quality image of fast-moving molecules. Assistant Professor Ioannis Sgouralis, Department of Mathematics, and colleagues have developed an ...

Multitarget tracking in sensor networks integrates detection, data association and state estimation to localise multiple dynamic objects using distributed or centralised sensor arrays. Typical systems ...

Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...

It's about to get easier to catch and analyze a high-quality image of fast-moving molecules. Assistant Professor Ioannis Sgouralis, Department of Mathematics, and colleagues have developed an ...

A simple camera system paired with a sophisticated image-processing algorithm can achieve faster and more accurate reconstructions of particle flow. By replacing a complex hardware setup with simple ...

Modern IRST (infrared sighting and tracking) sensors allow for the efficient tracking of an enemy target (in Italy, we have the excellent Skyward-G, developed by Selex Galileo). However, the problem ...

Maximising the performance of tracked bifacial PV requires optimisation of technical and financial factors. Image: Nextracker PV systems combining bifacial and tracker technologies deliver the ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Like the core algorithm, Google’s Knowledge Graph periodically updates. But little has been known about how, when, and what it means — until now. I believe these updates consist of three things: ...