The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...

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India is marching and making bold moves towards Amrit Kaal, especially by discovering innovative, objective, flexible, ...

Nonlinear dendritic integration in single presubicular neurons provides a mechanism for combining vestibular-based head-direction signals and visual landmark signals to anchor the brain’s internal ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

In this part, we will build a logistic regression model to predict whether a student gets admitted into a university. Suppose that you are the administrator of a university department and you want to ...

Objectives To date, consistent evidence for consequences of heading in football (soccer) on the structure and function of the ...

Abstract: This work presents a novel control paradigm to improve the Direct Current Regulation (DCR) of two-level inverters that are connected to the grid with LCL filters. The Deep Reinforcement ...

Abstract: Artificial Neural Network (ANN) is frequently utilized for the development of behavioral models of Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs). However, exhaustive ...

Delayed onset of canonical babbling and first words is often reported in infants later diagnosed with autism spectrum disorder (ASD). Identifying the neural mechanisms underlying language acquisition ...

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 ...