Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

This engineering exam, which is a gateway to some of the premium engineering colleges such as IITs, NITs and more, cover ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Most techniques for slowing light are limited in the delay time that can be achieved relative to the temporal pulse width. The use of gap solitons could help overcome this limitation. A fundamental ...

Abstract: Seismic modeling is crucial for tackling waveform-based inverse problems in geophysics. Physics-informed neural networks (PINNs) have become a popular tool for simulating seismic waves.

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

With increasing freshwater demand and rising water scarcity, reverse osmosis (RO) has become a key method for seawater ...

Abstract: This paper proposes a new variable gain sliding mode filter augmented by variable windowing for achieving smooth and reactive response over a broad range of input frequencies. The proposed ...