Everything about Jupiter is extreme. The planet is home to gigantic polar cyclones bigger than Australia, fierce jet streams, ...

The q-means leverages quantum computing to calculate distances for the centroid assignment part of the k-means unsupervised learning algorithm. It shares the same general steps its classical ...

Software engineering is the branch of computer science that deals with the design, development, testing, and maintenance of software applications. Software engineers apply engineering principles and ...

A research team developed a fully automated, drone-based phenotyping workflow that can measure key peanut canopy and ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

At Saint Louis University, we are the doers, the makers, the problem solvers. It might be the robotic device we develop that makes surgery less invasive, the improvements we create for public safety ...

What Drives Us in Mechanical Engineering? Mechanical engineers use the principles of energy, materials, and mechanics to design and manufacture machines and devices of all types. At Drexel, our ...

Mechanical engineering is the branch of engineering that deals with moving machines and their components. A central principle of mechanical engineering is the control of energy: transferring it from ...

Biomedical engineering is a branch of engineering that applies principles and design concepts of engineering to healthcare. Biomedical engineers deal with medical devices such as imaging equipment, ...

We're one of the biggest providers of engineering research and education in the UK, with 6,700 students and an annual research income of over £89m. We deliver inclusive, world-leading education and ...

Abstract: Point clouds captured from 3-D scanners are often sparse and incomplete due to occlusions, limited viewpoints, and sensor constraints. These limitations hinder applications in robotics, ...

Abstract: Determining the correct number of clusters is essential for efficient clustering and cluster validity indices are widely used for the same. Generally, the effectiveness of a cluster validity ...