Results 61 to 70 of about 2,864,900 (159)

Binary particle swarm optimization in classification [PDF]

open access: yes, 2005
Purpose of this work is to show that the Particle Swarm Optimization Algorithm may improve the results of same well known Machine Learning methods in the resolution of discrete classification problems.
Galván, Inés M.   +5 more
core   +1 more source

An optimized CNN-RNN framework based on GA algorithm for energy production prediction

open access: yesUnconventional Resources
Accurate energy production prediction is a critical challenge in modern renewable energy systems due to the inherent variability and complexity of influencing factors.
Alaa A. Almelibari
doaj   +1 more source

CoCryoViS: Collaborative online cryo‐electron tomography visualization system

open access: yesProtein Science, Volume 35, Issue 8, August 2026.
Abstract We present a collaborative, interactive, web‐based visualization and processing system for Cryo‐Electron Tomography (cryo‐ET) data that supports the complete workflow, from raw tilt‐series projections to final 3D segmentations. The system integrates tilt‐series alignment, motion correction, tomographic reconstruction, manual and pseudo ...
Omar Mena   +8 more
wiley   +1 more source

Enhancing Non-Invasive Blood Glucose Prediction from Photoplethysmography Signals via Heart Rate Variability-Based Features Selection Using Metaheuristic Algorithms

open access: yesAlgorithms
Diabetes requires effective monitoring of the blood glucose level (BGL), traditionally achieved through invasive methods. This study addresses the non-invasive estimation of BGL by utilizing heart rate variability (HRV) features extracted from ...
Saifeddin Alghlayini   +2 more
doaj   +1 more source

Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems

open access: yesAdvanced Materials, Volume 38, Issue 37, 2 July 2026.
DNA hydrogel microparticles are designed to exhibit controllable viscoelasticity and stiffness across three orders of magnitude from 30Pa$30 \,\mathrm{Pa}$ to 6.5kPa$6.5 \,\mathrm{kPa}$. They are uptaken into fibroblast spheroids where they are actively remodeled by cellular forces depending on their mechanical properties.
Tobias Walther   +9 more
wiley   +1 more source

An interpolatory subdivision algorithm for surfaces over arbitrary triangulations [PDF]

open access: yes, 1992
In this paper, an interpolatory subdivision algorithm for surfaces over ar-bitrary triangulations is introduced and its convergence properties over nonuni-form triangulations studied.
Qu, R
core   +5 more sources

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa   +2 more
wiley   +1 more source

A Survey on Dragonfly Algorithm and its Applications in Engineering

open access: yes, 2020
The dragonfly algorithm developed in 2016. It is one of the algorithms used by the researchers to optimize an extensive series of uses and applications in various areas.
Polla Fattah (9398226)   +5 more
core   +1 more source

The Gaussian Mutational Barebone Dragonfly Algorithm: From Design to Analysis

open access: yes, 2022
The dragonfly algorithm is a swarm intelligence optimization algorithm based on simulating the swarming behavior of dragonfly individuals. An efficient algorithm must have a symmetry of information between the participating entities.
Huiling Chen   +3 more
core   +1 more source

The Magnetic Mineralogy of Carbonaceous Chondrites: A Microscopy and Machine Learning Study of Meteorite WIS 91600

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 7, July 2026.
Abstract A central challenge in the paleomagnetic study of meteorites is to characterize their diverse remanence carriers. Here, we develop a machine‐learning assisted workflow that combines multi‐scale (mm to nm) and multi‐dimensional (2D‐3D) microscopy to build a comprehensive picture of ferromagnetic mineralogy in the C2 ungrouped carbonaceous ...
Richard J. Harrison   +6 more
wiley   +1 more source

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