A review of gas sensors based on carbon nanomaterial DOI
Indah Raya, Hamzah H. Kzar,

Zaid Hameed Mahmoud

и другие.

Carbon letters, Год журнала: 2021, Номер 32(2), С. 339 - 364

Опубликована: Сен. 20, 2021

Язык: Английский

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts DOI
Yutao Yang, Huiling Chen, Ali Asghar Heidari

и другие.

Expert Systems with Applications, Год журнала: 2021, Номер 177, С. 114864 - 114864

Опубликована: Март 11, 2021

Язык: Английский

Процитировано

882

The Colony Predation Algorithm DOI Creative Commons

Jiaze Tu,

Huiling Chen, Mingjing Wang

и другие.

Journal of Bionic Engineering, Год журнала: 2021, Номер 18(3), С. 674 - 710

Опубликована: Май 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.

Язык: Английский

Процитировано

511

Protein nanoparticles in drug delivery: animal protein, plant proteins and protein cages, albumin nanoparticles DOI Creative Commons
Ehsan Kianfar

Journal of Nanobiotechnology, Год журнала: 2021, Номер 19(1)

Опубликована: Май 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

Язык: Английский

Процитировано

325

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique DOI Creative Commons
Abeer Saber,

Mohamed Sakr,

Osama M. Abo-Seida

и другие.

IEEE Access, Год журнала: 2021, Номер 9, С. 71194 - 71209

Опубликована: Янв. 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.

Язык: Английский

Процитировано

292

Magnetic Nanoparticles in Targeted Drug Delivery: a Review DOI
Ehsan Kianfar

Journal of Superconductivity and Novel Magnetism, Год журнала: 2021, Номер 34(7), С. 1709 - 1735

Опубликована: Июнь 17, 2021

Язык: Английский

Процитировано

187

Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization DOI
Wu Deng,

Shifan Shang,

Xing Cai

и другие.

Knowledge-Based Systems, Год журнала: 2021, Номер 224, С. 107080 - 107080

Опубликована: Апрель 30, 2021

Язык: Английский

Процитировано

181

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

Jiao Hu,

Wenyong Gui,

Ali Asghar Heidari

и другие.

Knowledge-Based Systems, Год журнала: 2021, Номер 237, С. 107761 - 107761

Опубликована: Ноя. 27, 2021

Язык: Английский

Процитировано

168

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization DOI
Hang Su, Dong Zhao, Hela Elmannai

и другие.

Computers in Biology and Medicine, Год журнала: 2022, Номер 146, С. 105618 - 105618

Опубликована: Май 18, 2022

Язык: Английский

Процитировано

143

Slime mould algorithm: a comprehensive review of recent variants and applications DOI
Huiling Chen, Chenyang Li, Majdi Mafarja

и другие.

International Journal of Systems Science, Год журнала: 2022, Номер 54(1), С. 204 - 235

Опубликована: Дек. 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

Язык: Английский

Процитировано

136

SGOA: annealing-behaved grasshopper optimizer for global tasks DOI
Caiyang Yu, Mengxiang Chen, Kai Cheng

и другие.

Engineering With Computers, Год журнала: 2021, Номер 38(S5), С. 3761 - 3788

Опубликована: Янв. 3, 2021

Язык: Английский

Процитировано

132