A Python visualizer is a tool that shows you how your code runs, step by step, using pictures and diagrams. It helps you see ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

An interactive command-line tool to visualize step-by-step execution of classic sorting algorithms, dynamic programming, and graph traversal with Default ISO C++14 Standard.

The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

WIP Struktogram(Nassi-Shneiderman diagram) creator for the web, with syntax greatly inspired from github user Nigjo's struktogramview (https://github.com/nigjo ...

Abstract: This paper presents a novel methodology for automated testing of fault locator algorithms and testing their output sensitivity. The proposed methodology is based on Quasi Monte Carlo ...

Abstract: In this paper we present a methodology to design fault-tolerant routing algorithms for two-dimensional mesh networks. Our methodology, Dynamic intermediate node algorithm (DINA) supports ...