Researchers have developed a new algorithm that combines two processes for personalizing robotic prosthetic devices to both ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Sindhu Gopakumar Nair earned a 2025 Global Recognition Award for leading multi-region cloud platforms, achieving 99.99 ...

Abstract: Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Generative engine optimization (GEO) has quickly become one of the most important – and debated – topics in search. Some dismiss it as little more than SEO rebranded, but the reality is that GEO ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Gone are the days of just blueprints, prototypes and calculations, as engineering now ...

This paper proposes an enhanced-search form of the newly designed artificial hummingbird algorithm (AHA), named oppositional chaotic artificial hummingbird algorithm. The proposed OCAHA methodology ...