Results 51 to 60 of about 3,757,573 (172)

Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta‐Analysis

Oral Diseases, Volume 31, Issue 4, Page 1054-1064, April 2025.
ABSTRACT Objective Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classification of oral lesions.
Olga Di Fede, Gaetano La Mantia, Marco Parola, Laura Maniscalco, Domenica Matranga, Pietro Tozzo, Giuseppina Campisi, Mario G. C. A. Cimino   +7 more
wiley   +1 more source

MEDCnet: A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN

International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.
ABSTRACT Modern medical imaging equipment can capture very high‐resolution images with detailed features. These high‐resolution images have been used in several domains. Diabetic retinopathy (DR) is a medical condition where increased blood sugar levels of diabetic patients affect the retinal vessels of the eye.
Mohsin Butt, D. N. F. Awang Iskandar, Majid Ali Khan, Ghazanfar Latif, Abul Bashar   +4 more
wiley   +1 more source

Handbook of Moth-Flame Optimization Algorithm

, 2022
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives ...
Mirjalili, S, Seyedali Mirjalili
core   +1 more source

Smart Homes of the Future

Transactions on Emerging Telecommunications Technologies, Volume 36, Issue 1, January 2025.
The advent of the Internet of Things (IoT) has revolutionized the concept of smart homes, allowing users to remotely interact with their houses. This technological development has significantly improved convenience, safety, and overall lifestyles for homeowners.
Absalom E. Ezugwu, Olutosin Taiwo, Ojonukpe S. Egwuche, Laith Abualigah, Annette Van Der Merwe, Jayanta Pal, Apu K. Saha, Ahmed Ibrahim Alzahrani, Fahad Alblehai, Japie Greeff, Micheal O. Olusanya   +10 more
wiley   +1 more source

An improved dual-phased meta-heuristic optimization-based framework for energy efficient cluster-based routing in wireless sensor networks

Alexandria Engineering Journal
This paper proposes an improved dual-phased framework for energy-efficient, cluster-based routing in Wireless Sensor Networks (WSNs). It addresses the critical challenge of balancing energy consumption with reliable network performance.
Michaelraj Kingston Roberts, Jayapratha Thangavel, Hamad Aldawsari   +2 more
doaj   +1 more source

A New Algorithm for Multi‐Objective Hybrid Economic Emission Dispatch Using Data‐Driven Forecasting of Wind and Solar Power

IET Generation, Transmission &Distribution, Volume 19, Issue 1, January/December 2025.
This paper presents a multi‐objective hybrid dynamic economic emission dispatch (HDEED) model incorporating wind and solar power generation. An evolutionary neural network‐based forecasting method is employed to accurately predict renewable outputs, which are integrated into the optimisation framework to minimise both cost and emissions.
Muhammad Kamran Khan, Muhammad Ammar Khan, Kimmo Kauhaniemi, Muhammad Hamza Zafar, Saad Rashid   +4 more
wiley   +1 more source

Multi‐Objective Energy‐Efficient Clustering Protocol for Wireless Sensor Networks: An Approach Based on Metaheuristic Algorithms

IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.
This paper proposes a novel hybrid clustering protocol to address the challenges arising from the resource‐constrained nature of sensor nodes in wireless sensor networks (WSNs). The primary objective of this study is to optimise energy consumption, thereby extending network lifetime and enhancing scalability.
Mohamadhosein Behzadi, Homayun Motameni, Hosein Mohamadi, Behnam Barzegar   +3 more
wiley   +1 more source

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem [PDF]

, 2010
Copyright @ Springer-Verlag 2010.Ant colony optimization (ACO) has been successfully applied for combinatorial optimization problems, e.g., the travelling salesman problem (TSP), under stationary environments.
Yang, S, Shengxiang Yang, Mavrovouniotis, M, Michalis Mavrovouniotis, Yang, Shengxiang, Mavrovouniotis, Michalis   +5 more
core   +1 more source

RNA, Reuse, Recycle: The Analysis of Multiple Known Human Microbiome Communities Using Unmapped Next‐Generation Sequencing Data

Advanced Gut &Microbiome Research, Volume 2025, Issue 1, 2025.
Research has revealed that the human microbiome plays an essential role in maintaining healthy physiology; microbiome compositional changes have been implicated in various physical and mental disease states. In recent years, a wealth of RNA‐sequencing (RNA‐seq) data has accumulated in publicly accessible databases, and there is burgeoning evidence to ...
Felicity Wainwright, Göksel Mısırlı, Peter Andras, Jian Wu   +3 more
wiley   +1 more source

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

IEEE Access
The Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging.
Aravam Babu, A. Bagubali
doaj   +1 more source