A review of task scheduling in cloud computing based on nature-inspired optimization algorithm

FS Prity, MH Gazi, KMA Uddin - Cluster computing, 2023 - Springer
The advent of the cloud computing paradigm allowed multiple organizations to move,
compute, and host their applications in the cloud environment, enabling seamless access to …

Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects

FS Prity, KMA Uddin, N Nath - Iran Journal of Computer Science, 2024 - Springer
The advent of the cloud computing paradigm has enabled innumerable organizations to
seamlessly migrate, compute, and host their applications within the cloud environment …

Retinal nerve fiber layer analysis using deep learning to improve glaucoma detection in eye disease assessment

AR Prananda, EL Frannita, AHT Hutami, MR Maarif… - Applied Sciences, 2022 - mdpi.com
Recently, the development of a rapid detection approach for glaucoma has been widely
proposed to assist medical personnel in detecting glaucoma disease thanks to the …

Glaucoma classification using a polynomial-driven deep learning approach

KS Naidana, SS Barpanda - Bulletin of Electrical Engineering and …, 2023 - beei.org
In this paper, a deep learning-based multi-stage polynomial driven glaucoma classification-
net (PDGC-Net) has been proposed for glaucoma identification through retinal images. The …

Multi-level classification of knee cartilage lesion in multimodal MRI based on deep learning

L Zhang, Z Che, Y Li, M Mu, J Gang, Y Xiao… - … Signal Processing and …, 2023 - Elsevier
The regeneration and repair ability of knee cartilage is limited, and the early clinical
symptoms of patients are not obvious, so the diagnosis of knee cartilage damage is crucial …

Trish: an efficient activation function for CNN models and analysis of its effectiveness with optimizers in diagnosing glaucoma

C Közkurt, A Diker, A Elen, S Kılıçarslan… - The Journal of …, 2024 - Springer
Glaucoma is an eye disease that spreads over time without showing any symptoms at an
early age and can result in vision loss in advanced ages. The most critical issue in this …

AI-Driven Approaches for Glaucoma Detection--A Comprehensive Review

Y Hagiwara, OA Ciora, M Monnet, G Lancho… - arXiv preprint arXiv …, 2024 - arxiv.org
The diagnosis of glaucoma plays a critical role in the management and treatment of this
vision-threatening disease. Glaucoma is a group of eye diseases that cause blindness by …

[PDF][PDF] A Deep Learning-Based System for Driver Fatigue Detection

A Benmohamed, H Zarzour - Ingenierie des Systemes d' …, 2024 - researchgate.net
Driver fatigue is still a principal cause of traffic accidents. While many ways allowing fatigue
detection, a diversity of obstacles such as head position, luminosity, and facial expressions …

Optimized clustering-based fusion for skin lesion image classification: Leveraging marine predators algorithm

N Mohanty, M Pradhan, PP Mane… - Intelligent Decision …, 2024 - journals.sagepub.com
This manuscript presents a comprehensive approach to enhance the accuracy of skin lesion
image classification based on the HAM10000 and BCN20000 datasets. Building on prior …