A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

It was in the year 1914 that Indian mathematician Srinivasa Ramanujan came to Cambridge with a notebook filled with 17 ...

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, ...

Abstract: Genetic algorithm is a commonly used bio-heuristic optimization algorithm in machine learning, with inherent hidden parallelism and good global optimization capability. In this paper, ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

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 ...

Switchgrass field, sampling, and stage sorting. Photos by Carolina Córdova. In the domain of biological organisms, the aging structure of grass tillers holds profound implications beyond individual ...

Abstract: To address the Traveling Salesman Problem (TSP), through research, it has been found that genetic algorithms exhibit promising effectiveness in solving the TSP. Therefore, this paper adopts ...