Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Expert Systems with Applications, Journal Year: 2021, Volume and Issue: 177, P. 114864 - 114864

Published: March 11, 2021

Language: Английский

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The Colony Predation Algorithm

Journal of Bionic Engineering, Journal Year: 2021, Volume and Issue: 18(3), P. 674 - 710

Published: May 1, 2021

Abstract This paper proposes a new stochastic optimizer called the Colony Predation Algorithm (CPA) based on corporate predation of animals in nature. CPA utilizes mathematical mapping following strategies used by animal hunting groups, such as dispersing prey, encircling supporting most likely successful hunter, and seeking another target. Moreover, proposed introduces features unique model that uses success rate to adjust strategy simulate animals’ selective abandonment behavior. also presents way deal with cross-border situations, whereby optimal position value situation replaces improve algorithm’s exploitation ability. The was compared state-of-the-art metaheuristics comprehensive set benchmark functions for performance verification five classical engineering design problems evaluate efficacy optimizing problems. results show algorithm exhibits competitive, superior different search landscapes over other algorithms. source code will be publicly available after publication.

Language: Английский

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Protein nanoparticles in drug delivery: animal protein, plant proteins and protein cages, albumin nanoparticles

Journal of Nanobiotechnology, Journal Year: 2021, Volume and Issue: 19(1)

Published: May 29, 2021

Abstract In this article, we will describe the properties of albumin and its biological functions, types sources that can be used to produce nanoparticles, methods producing therapeutic applications importance nanoparticles in production pharmaceutical formulations. view increasing use Abraxane approval for treatment several cancer during final stages clinical trials other cancers, evaluate it compare effectiveness with conventional non formulations chemotherapy Paclitaxel is paid. examine role animal proteins Nano medicine various benefits these biomolecules preparation drug delivery carriers characteristics plant protein cages their potentials diagnosis treatment. Finally, advantages disadvantages are mentioned, as well

Language: Английский

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A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique

IEEE Access, Journal Year: 2021, Volume and Issue: 9, P. 71194 - 71209

Published: Jan. 1, 2021

Breast cancer (BC) is one of the primary causes death among women. Early detection BC allows patients to receive appropriate treatment, thus increasing possibility survival. In this work, a new deep-learning (DL) model based on transfer-learning (TL) technique developed efficiently assist in automatic and diagnosis suspected area two techniques namely 80-20 cross-validation. DL architectures are modeled be problem-specific. TL uses knowledge gained during solving problem another relevant problem. proposed model, features extracted from mammographic image analysis- society (MIAS) dataset using pre-trained convolutional neural network (CNN) architecture such as Inception V3, ResNet50, Visual Geometry Group networks (VGG)-19, VGG-16, Inception-V2 ResNet. Six evaluation metrics for evaluating performance terms accuracy, sensitivity, specificity, precision, F-score, under ROC curve (AUC) has been chosen. Experimental results show that VGG16 powerful by classifying mammogram breast images with overall AUC 98.96%, 97.83%, 99.13%, 97.35%, 97.66%, 0.995, respectively method 98.87%, 97.27%, 98.2%, 98.84%, 98.04%, 0.993 10-fold cross-validation method.

Language: Английский

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Magnetic Nanoparticles in Targeted Drug Delivery: a Review

Journal of Superconductivity and Novel Magnetism, Journal Year: 2021, Volume and Issue: 34(7), P. 1709 - 1735

Published: June 17, 2021

Language: Английский

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Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization

Knowledge-Based Systems, Journal Year: 2021, Volume and Issue: 224, P. 107080 - 107080

Published: April 30, 2021

Language: Английский

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Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection

Knowledge-Based Systems, Journal Year: 2021, Volume and Issue: 237, P. 107761 - 107761

Published: Nov. 27, 2021

Language: Английский

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Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 146, P. 105618 - 105618

Published: May 18, 2022

Language: Английский

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Slime mould algorithm: a comprehensive review of recent variants and applications

International Journal of Systems Science, Journal Year: 2022, Volume and Issue: 54(1), P. 204 - 235

Published: Dec. 16, 2022

Slime Mould Algorithm (SMA) has recently received much attention from researchers because of its simple structure, excellent optimisation capabilities, and acceptable convergence in dealing with various types complex real-world problems. this study aims to retrieve, identify, summarise analyse critical studies related SMA development. Based on this, 98 SMA-related the Web Science were retrieved, selected, identified. The two main review vectors advanced versions SMAs application domains. First, we counted analysed SMAs, summarised, classified, discussed their improvement methods directions. Secondly, sort out domains role, development status, shortcomings each domain. A survey based existing literature shows that clearly outperform some established metaheuristics terms speed accuracy handling benchmark problems solving multiple realistic optimization This not only suggests possible future directions field but, due inclusion graphical tabular comparisons properties, also provides a comprehensive source information about SAMs scope adaptation for

Language: Английский

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Machine Learning (ML) in Medicine: Review, Applications, and Challenges

Mathematics, Journal Year: 2021, Volume and Issue: 9(22), P. 2970 - 2970

Published: Nov. 21, 2021

Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in various industries, especially medicine. AI describes computational programs that mimic simulate human intelligence, for example, a person’s behavior solving problems or his ability learning. Furthermore, ML is subset of intelligence. It extracts patterns from raw data automatically. The purpose this paper to help researchers gain proper understanding its applications healthcare. In paper, we first present classification learning-based schemes According our proposed taxonomy, healthcare are categorized based on pre-processing methods (data cleaning methods, reduction methods), (unsupervised learning, supervised semi-supervised reinforcement learning), evaluation (simulation-based practical implementation-based real environment) (diagnosis, treatment). classification, review some studies presented We believe helps familiarize themselves with the newest research medicine, recognize their challenges limitations area, identify future directions.

Language: Английский

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