Results 61 to 70 of about 695 (187)

Multimodal Lotus Effect Algorithm for Engineering Optimization Problems

Engineering Reports, Volume 7, Issue 4, April 2025.
ABSTRACT Multimodal optimization problems (MMOPs) are critical in fields like game theory and robotics, where identifying multiple optimal solutions simultaneously is essential, yet challenging due to the need for effective global exploration and precise localization of optima.
Elham Dalirinia, Mahdi Yaghoobi, Hamid Tabatabaee, Swati Chandna, Mehrdad Jalali   +4 more
wiley   +1 more source

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

Sparse geometries handling in lattice-Boltzmann method implementation for graphic processors

, 2018
We describe a high-performance implementation of the lattice-Boltzmann method (LBM) for sparse geometries on graphic processors. In our implementation we cover the whole geometry with a uniform mesh of small tiles and carry out calculations for each tile
Szafran, Roman G., Tomczak, Tadeusz
core   +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

Detecting Autism spectrum disorder with sailfish optimisation [PDF]

, 2021
68-73Autism Spectrum Disorder (ASD), a neurodevelopmental disorder, has been a bottleneck to several clinical researchers due to data modularization, subjective analysis, and shifts in the accurate prediction of the disorder amongst the sample ...
Balakrishnan, K, Dhanalakshmi, R, Khaire, Utkarsh Mahadeo   +2 more
core  

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

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

An improved Differential evolution with Sailfish optimizer (DESFO) for handling feature selection problem

Scientific Reports
As a preprocessing for machine learning and data mining, Feature Selection plays an important role. Feature selection aims to streamline high-dimensional data by eliminating irrelevant and redundant features, which reduces the potential curse of ...
Safaa. M. Azzam, O. E. Emam, Ahmed Sabry Abolaban   +2 more
doaj   +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

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