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Abstract: In modern wireless communication systems, a profound grasp of the channel impulse response (CIR) is pivotal for optimizing the design and functionality of algorithms and systems, especially ...

This repository implements advanced physics-driven deep learning frameworks for solving partial differential equations (PDEs) and related inverse problems. These methods leverage deep neural networks ...

Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

This repository implements Physics-Informed Neural Networks (PINNs) for power grid analysis and renewable energy applications. The project combines deep learning with physical constraints to solve ...

Why are the Higgs field and dark energy so weak? Find the answer and you could earn yourself a Nobel Prize, says Dr Karl. Around the year 1900, the astronomers had a big problem — "what powered the ...

The first time I needed online data recovery help, it felt ordinary, which is what made it dangerous. A portable drive ...

Are you one of those few students who will appear for the National Eligibility cum Entrance Test (NEET) in 2026? The NEET UG will be conducted in pen and paper mode. Subject-wise pattern includes 45 ...

Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable of almost anything. Jo excels at intuitive problem-solving. Over her life, ...