Abstract: Wireless communication is rapidly evolving, and this evolution has led to increasing demands for better error correction, lower latency, and higher ...

The Layer-wise Relevance Propagation (LRP) algorithm explains a classifer's prediction specific to a given data point by attributing relevance scores to important components of the input by using the ...

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...

MATLAB (short for Matrix Laboratory) is a powerful software tool used for technical computing and visualization. It is widely used in a variety of fields, including engineering, science, finance, and ...

Department of Environmental, Water and Agricultural Engineering, Faculty of Civil & Environmental Engineering, Technion−Israel Institute of Technology, Haifa 3200003, Israel Environmental Physics ...

TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. TensorFlow.NET is a library that provides a .NET Standard binding for TensorFlow, allowing ...

We demonstrate that a neural network automatically solves, explains, and generates university-level problems from the largest Massachusetts Institute of Technology (MIT) mathematics courses at a human ...

We present a theory of neural circuits’ design and function, inspired by the random connectivity of real neural circuits and the mathematical power of random projections. Specifically, we introduce a ...