Results 31 to 40 of about 1,592,120 (125)

A Python/Fortran Implementation of the Lattice‐Boltzmann Kernel on Multiple GPU Using the OpenACC Framework

open access: yesConcurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT The increasing availability of GPU accelerated architectures for high‐performance computing presents new opportunities for scientific software but also challenges due to the complexity of porting legacy codes to accelerator platforms. Directive‐based programming models such as OpenACC offer a minimally intrusive pathway to exploit GPU ...
Carlos Junqueira‐Junior   +3 more
wiley   +1 more source

A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search

open access: yes, 2015
T In order to improve the algorithmic ability of balancing the exploration and exploitation tradeoff, a modified Artificial Bee Colony optimizer (MABC) is proposed by combining Powell's search and comprehensive learning using PSO-based search ...
Boyang Liu   +7 more
core   +1 more source

A Dependable Approach for the Early Detection of Diabetic Retinopathy Using Hybrid Machine Learning Models

open access: yesJournal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.
Diabetic retinopathy (DR) is a common eye condition that can lead to blurred vision or even blindness. Therefore, early detection is crucial to prevent or mitigate its effects. However, the subtlety of early symptoms makes it challenging for doctors to identify the condition.
Luai Al-Shalabi   +2 more
wiley   +1 more source

A Noncontact Methodology for Disengagement Monitoring of High‐Speed Railway Bridge Bearings Based on Bearing‐to‐Beam Displacement Relation Under Round‐Trip Trains

open access: yesStructural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Bearings are critical components of bridges and are susceptible to various forms of deterioration under the action of traffic loads and complex environmental conditions. Existing methods for assessing the condition of bearings, including visual inspections, force sensors, cameras, and vibration sensors, still present challenges in accurately locating ...
Chuang Wang   +7 more
wiley   +1 more source

Multimodal Lotus Effect Algorithm for Engineering Optimization Problems

open access: yesEngineering 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   +4 more
wiley   +1 more source

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

open access: yesInternational 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   +4 more
wiley   +1 more source

ARLCL-Optimizer

open access: yes, 2023
ARLCL-Optimizer is an application implementing the cooperative localization method ARLCL: Anchor-free Ranging-Likelihood-based Cooperative ...
Braun, Torsten   +2 more
core  

Smart Homes of the Future

open access: yesTransactions 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   +10 more
wiley   +1 more source

torch-optimizer -- collection of optimization algorithms for PyTorch.

open access: yes, 2020
Changes Drop RAdam optimizer since it is included in pytorch. Do not include tests as installable package. Preserver memory layout where possible.
Novik, Mykola
core   +1 more source

An adaptive learning particle swarm optimizer for function optimization [PDF]

open access: yes, 2009
This article is posted here with permission of the IEEE - Copyright @ 2009 IEEETraditional particle swarm optimization (PSO) suffers from the premature convergence problem, which usually results in PSO being trapped in local optima.
Yang, S   +5 more
core   +1 more source

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