Crossover-based wind-driven optimized convolutional neural network model for tomato leaf disease classification DOI

V. Indu,

S. Suja Priyadharsini

Journal of Plant Diseases and Protection, Год журнала: 2021, Номер 129(3), С. 559 - 578

Опубликована: Окт. 19, 2021

Язык: Английский

Bee optimization based random double adaptive whale optimization model for task scheduling in cloud computing environment DOI

N. Manikandan,

N Gobalakrishnan,

K. Pradeep

и другие.

Computer Communications, Год журнала: 2022, Номер 187, С. 35 - 44

Опубликована: Янв. 31, 2022

Язык: Английский

Процитировано

88
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease DOI

N. Deepa,

S. P. Chokkalingam

Biomedical Signal Processing and Control, Год журнала: 2022, Номер 74, С. 103455 - 103455

Опубликована: Янв. 10, 2022

Язык: Английский

Процитировано

58
An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine DOI

J. Aswini,

B. Yamini,

Rajaram Jatothu

и другие.

Concurrency and Computation Practice and Experience, Год журнала: 2021, Номер 34(10)

Опубликована: Дек. 8, 2021

Abstract Cloud computing is the on‐demand access to computer resources such as applications, servers, data storage, development tools, networking capabilities, and other that are held in a remote center maintained by cloud services provider(CSP) accessible over internet. The limited higher time consumption major issues faced users. appropriate selection of virtual machines (VMs) used maximize resource usage reduce task execution for clients (patients, physicians, etc.). In this article, we have introduced an efficient cloud‐based healthcare paradigm (HCS). opposition‐based Laplacian equilibrium optimizer (O‐LEO) algorithm select optimal VMs which maximization utilization minimization performed. Additionally, boosted support vector machine (SVM) effectively predicts chronic kidney disease (CKD) thereby ensuring better prediction results. CloudSim platform implementation proposed method. overall taken O‐LEO‐based less than standard Sim model create three cloudlets improve system efficiency 6%. When compared with existing techniques, both O‐LEO SVM classifier outperforms superior performances.

Язык: Английский

Процитировано

57
Multithreshold Image Segmentation Technique Using Remora Optimization Algorithm for Diabetic Retinopathy Detection from Fundus Images DOI Open Access
V. Desika Vinayaki,

R. Kalaiselvi

Neural Processing Letters, Год журнала: 2022, Номер 54(3), С. 2363 - 2384

Опубликована: Янв. 24, 2022

Язык: Английский

Процитировано

40
An Adaptive Neuro-Fuzzy Inference System and Black Widow Optimization Approach for Optimal Resource Utilization and Task Scheduling in a Cloud Environment DOI

N. Manikandan,

Gobalakrishnan Natesan,

K. Pradeep

и другие.

Wireless Personal Communications, Год журнала: 2021, Номер 121(3), С. 1891 - 1916

Опубликована: Авг. 10, 2021

Язык: Английский

Процитировано

46
Leaf Disease Detection in Banana Plant using Gabor Extraction and Region-Based Convolution Neural Network (RCNN) DOI

K. Seetharaman,

T. Mahendran

Journal of The Institution of Engineers (India) Series A, Год журнала: 2022, Номер 103(2), С. 501 - 507

Опубликована: Март 19, 2022

Язык: Английский

Процитировано

32
Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets DOI
Chunsheng Cui, Meng Wei, Libin Che

и другие.

Expert Systems with Applications, Год журнала: 2022, Номер 210, С. 118503 - 118503

Опубликована: Авг. 12, 2022

Язык: Английский

Процитировано

31
An optimized AdaBoost Multi-class support vector machine for driver behavior monitoring in the advanced driver assistance systems DOI

S. Ravikumar,

Sekar Sellappan,

Jeyalakshmi Shunmugiah

и другие.

Expert Systems with Applications, Год журнала: 2022, Номер 212, С. 118618 - 118618

Опубликована: Авг. 19, 2022

Язык: Английский

Процитировано

30
Adaptive learning style prediction in e-learning environment using levy flight distribution based CNN model DOI

Sami Alshmrany

Cluster Computing, Год журнала: 2021, Номер 25(1), С. 523 - 536

Опубликована: Сен. 30, 2021

Язык: Английский

Процитировано

36
RETRACTED: Analyzing the factors affecting the attitude of public toward lockdown, institutional trust, and civic engagement activities DOI
Qing Xie, Vinu Sundararaj,

Rejeesh MR

и другие.

Journal of Community Psychology, Год журнала: 2021, Номер 50(2), С. 806 - 822

Опубликована: Авг. 9, 2021

The early 2020 witnessed Coronavirus disease 2019 (COVID-19) pandemic followed by a nationwide lockdown in the whole history for first time. entire world had to go curb spread of such contagious and deadly disease. In short, coronavirus outbreak subsequent created storm giving rise change public with respect parameters like trust government institutions, civic engagement, so on. this raising dilemma, multiple countries have acknowledged significance trusting especially during lockdown. It is also widely accepted that lives individuals been undergoing ever since COVID-19. Likewise, public's institutions directly related engagement. Civic engagement commonly understood as phenomenon develops difference an individual's life combining values, skills, motivation, well knowledge. Different forms include national service, volunteering, societal services, forth. main focus article examine influence COVID-19 on general attitude citizens Malaysia India, their governing other words, study tries assess impact variables toward lockdown, For this, adopted cross-sectional community questionnaire survey two countries-Malaysia India. respondents selected was 1437. respondent's demographics, were collected means convenience sampling technique. Later data measured terms descriptive statistics regression analysis. Findings stated institution can be increased enhancing activities implementing policies govern build society.

Язык: Английский

Процитировано

32