This project is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...

1 Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, Kazakhstan 2 School of Data Science, Fudan University, Shanghai, China Robot path planning is a cornerstone of ...

An artist’s impression of a quantum electrodynamics simulation using 100 qubits of an IBM quantum computer. The spheres and lines denote the qubits and connectivity of the IBM quantum processor; gold ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

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 ...

Abstract: To address the drawbacks of the traditional A* algorithm, such as excessive search node expansion, high computational complexity, unsmooth paths, and over-sensitivity to heuristic functions, ...

Abstract: To solve the problem of low quality and long path of traditional A* algorithm, A novel path planning algorithm combining improved A* algorithm with Time Elastic Band (TEB) algorithm is ...