Identification of oil authenticity and adulteration using deep long short-term memory-based neural network with seagull optimization algorithm DOI

V. Surya,

A. Senthilselvi

Neural Computing and Applications, Год журнала: 2022, Номер 34(10), С. 7611 - 7625

Опубликована: Янв. 9, 2022

Язык: Английский

A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics DOI
Muhammad Adeel Azam, Khan Bahadar Khan, Sana Salahuddin

и другие.

Computers in Biology and Medicine, Год журнала: 2022, Номер 144, С. 105253 - 105253

Опубликована: Фев. 3, 2022

Язык: Английский

Процитировано

206
Current advances and future perspectives of image fusion: A comprehensive review DOI
Shahid Karim, Geng Tong,

Jinyang Li

и другие.

Information Fusion, Год журнала: 2022, Номер 90, С. 185 - 217

Опубликована: Сен. 29, 2022

Язык: Английский

Процитировано

118
An automatic plant leaf disease identification using DenseNet-121 architecture with a mutation-based henry gas solubility optimization algorithm DOI Open Access
S. Nandhini,

K. Ashokkumar

Neural Computing and Applications, Год журнала: 2022, Номер 34(7), С. 5513 - 5534

Опубликована: Янв. 3, 2022

Язык: Английский

Процитировано

89
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

84
A review of image fusion: Methods, applications and performance metrics DOI
Simrandeep Singh, Harbinder Singh, Gloria Bueno

и другие.

Digital Signal Processing, Год журнала: 2023, Номер 137, С. 104020 - 104020

Опубликована: Март 24, 2023

Язык: Английский

Процитировано

43
Opposition grasshopper optimizer based multimedia data distribution using user evaluation strategy DOI
Vinu Sundararaj,

M. Selvi

Multimedia Tools and Applications, Год журнала: 2021, Номер 80(19), С. 29875 - 29891

Опубликована: Июль 15, 2021

Язык: Английский

Процитировано

78
Image fusion and enhancement based on energy of the pixel using Deep Convolutional Neural Network DOI
M. Rajesh,

R. Sitharthan

Multimedia Tools and Applications, Год журнала: 2021, Номер 81(1), С. 873 - 885

Опубликована: Сен. 17, 2021

Язык: Английский

Процитировано

67
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
Segmentation and classification of breast cancer using novel deep learning architecture DOI
S. Ramesh,

S. Sasikala,

S. Gomathi

и другие.

Neural Computing and Applications, Год журнала: 2022, Номер 34(19), С. 16533 - 16545

Опубликована: Май 25, 2022

Язык: Английский

Процитировано

45