Results 71 to 80 of about 239,089 (293)

Face recognition system with PCA-GA algorithm for smart home door security using Rasberry Pi

Jurnal Teknologi dan Sistem Komputer, 2020
Genetic algorithm (GA) can improve the classification of the face recognition process in the principal component analysis (PCA). However, the accuracy of this algorithm for the smart home security system has not been further analyzed. This paper presents
Subiyanto Subiyanto, Dina Priliyana, Moh. Eki Riyadani, Nur Iksan, Hari Wibawanto   +4 more
doaj   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Representing Space: A Hybrid Genetic Algorithm for Aesthetic Graph Layout [PDF]

, 1998
This paper describes a hybrid Genetic Algorithm (GA) that is used to improve the layout of a graph according to a number of aesthetic criteria.
Hobbs, M.H.W., Rodgers, Peter
core   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

Advanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee, Mehdi Salar Amoli, Sarah Rezapourdamanab, Lama Rita El Shammas, Martin L. Tomov, Emilio A. Mendiola, Vahid Serpooshan, Reza Avazmohammadi   +7 more
wiley   +1 more source

Hybrid genetic simulated annealing algorithm based on niching for QoS multicast routing

Tongxin xuebao, 2008
Aiming at the problem of multicast routing with multiple QoS constraint,a new genetic algorithm（GA） was brought up based on the simulated annealing（SA） mechanism. The algorithm combined the capability of local optimiza-tion of SA with global optimization
FAN Yi-ming1, YU Jian-jun1, FANG Zhi-min2   +2 more
doaj   +2 more sources

A Long‐Lived Human Neurovascular PENTA Culture Model Captures Incomplete Vascular Repair and Glia‐Associated Signaling After Traumatic Brain Injury

Advanced Healthcare Materials, EarlyView.
A long‐lived, five‐cell‐type human neurovascular (PENTA) model recreates vascular disorganization and incomplete repair after traumatic brain injury (TBI). By integrating endothelial, glial, neuronal, and immune components within a 3D scaffold, the platform enables time‐resolved analysis of neurovascular remodeling and provides a human‐relevant system ...
Daniel S. Hinrichsen, Sunghyun Jun, Colleen M. Arrasmith, Charitha C. Anamala, Mitchell D. Thielen, Anapaula Garcia, Volha Liaudanskaya   +6 more
wiley   +1 more source

Multiscale Unsupervised Segmentation of SAR Imagery Using the Genetic Algorithm

Sensors, 2008
A valid unsupervised and multiscale segmentation of synthetic aperture radar(SAR) imagery is proposed by a combination GA-EM of the Expectation Maximization(EM) algorith with the genetic algorithm (GA).
Ze-Tao Jiang, Hua Zhang, Xian-Bin Wen
doaj  

Optimize the Activity-on-Arc Network Planning Through the Structure Matrix and Genetic Algorithm

IEEE Access
The resource-constrained project scheduling problem (RCPSP) poses several challenges for optimizing activity-on-arc network planning. The existing genetic algorithms for solving this problem have high computational complexity and low efficiency in terms ...
Gongyu Hou, Haoxiang Li, Qinhuang Chen, Yaohua Shao, Dandan Wang   +4 more
doaj   +1 more source

Genetic algorithm and neural network hybrid approach for job-shop scheduling [PDF]

, 1998
Copyright @ 1998 ACTA PressThis paper proposes a genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) hybrid approach for job-shop scheduling problems.
Wang, D, Yang, S, Zhao, K
core  

GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms

, 2004
Evolutionary techniques are one of the most successful paradigms in the field of optimization. In this paper we present a new approach, named GAEDA, which is a new hybrid algorithm based on genetic and estimation of distribution algorithms. The original objective is to get benefits from both approaches.
Peña Sánchez, José María, Robles Forcada, Víctor, Larrañaga Múgica, Pedro María, Herves Gómez, Vanessa, Rosales García, Francisco Javier, Pérez Hernández, María de los Santos   +5 more
openaire   +2 more sources