Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

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Abstract: Genetic algorithm has been widely used in many fields because of its good global search capability. In this paper, we mainly introduce the research on Traveling Salesman Problem (TSP) ...

The TSP has prepared a new fact sheet titled, Information for TSP Participants Leaving Federal Employment that provides useful information for employees who may find themselves facing the end of their ...

Abstract: In recent years, the proposal and development of algorithms have been accelerating, and algorithms with various purposes, principles, simplicity, complexity, and sources have been applied to ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

In recent years, due to rapid fossil fuel depletion (Peng et al., 2020), booming global energy demand (Shangguan et al., 2020a), and a series of severe eco-environmental problems (Yang et al., 2015), ...