Marwitz et al. demonstrate the use of large language models to build semantic concept graphs from materials science abstracts and train a machine learning model to predict emerging topic combinations ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: In this article, we propose a novel wideband grid array antenna (GAA) based on a pseudo-coplanar waveguide (PCPW) configuration. The short side of grid, slots, and shorted parasitic patches ...

The concept of algorithmic problem-solving can be traced back to ancient times, long before the invention of computers. In fact, they are as old as problem-solving itself. In simple words, algorithms ...

Abstract: Bird droppings are a significant factor affecting the cleanliness of photovoltaic modules in solar power plants. They can cause uneven heating on the module surface, leading to irreversible ...

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