Titlebook: Soft Computing for Problem Solving; Proceedings of SocPr Aruna Tiwari,Kapil Ahuja,Atulya K. Nagar Conference proceedings 2021 The Editor(s)

AGOG

Gangireddy Sushnigdhaen disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 23 (thesis year 1978) a total of 10,148 theses titles from

博识

Santosh Kumar Satapathy,D. Loganathanen disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 23 (thesis year 1978) a total of 10,148 theses titles from

GOUGE

Swarm Programming Using Multi-verse Optimizer,bolic regression. The experimental results of the proposed GMVO are compared with that of grammatical fireworks algorithm (GFWA), grammatical bee colony (GBC), and grammatical swarm (GS). The empirical results with analysis demonstrate that the GMVO can be used in automatic generation of computer programs in any arbitrary target computer language.

Insubordinate

Antimicrobial

宏伟

discord

Swarm Programming Using Multi-verse Optimizer,Automatic programming is a division of machine learning where machines learn how to write the program for themselves. Grammar-based swarm programming is an interesting research topic in recent times. In grammar-based swarm programming, context-free grammar (CFG) is utilized in the generation of comp

Salivary-Gland

Muzzle Pattern Based Cattle Identification Using Generative Adversarial Networks,mes struggle with accuracy rate and processing time which are the key issues. In this paper, we propose a muzzle pattern based cattle identification scheme to achieve higher accuracy rate using generative adversarial networks (GAN) for image enhancement and coupled SIFT with RANSAC for robust featur

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ORE

An Intelligent Method for Plastic Money Fraud Detection Using Isolation Forest Classifier,hem. Credit card transaction are used both for online as well as offline payment mode. This leads to increased fraud activities of forgery and theft. Usually in the existing scenario, detecting fraud once the theft had been performed. Such frauds are harmful for both merchants and to an individual c