Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...

Abstract: Contrastive learning achieves good performance on hyperspectral image classification (HSIC), but its application on cross-scene classification is still challenging due to domain shifts. The ...

Loop invariants are fundamental to reasoning about programs with loops. They establish properties about a given loop’s behavior. When they additionally are inductive, they become useful for the task ...

Neal has more than 20 years of experience in financial and business journalism covering retail investing, airlines, pharmaceuticals, healthcare, sustainability, technology, and retail. He has worked ...

The manifestly gauge invariant Exact Renormalisation Group provides a framework for performing continuum computations in SU(N) Yang-Mills theory, without fixing the gauge. We use this formalism to ...

An explicit calculation of the one-loop topological mass term within a broad class of gauge invariant regularization schemes developed recently is presented for (2+1)-dimensional QED. This provides an ...

Abstract: Automatic loop-invariant generation is important in program analysis and verification. In this paper, we propose to generate loop-invariants automatically through learning and verification.