Results 101 to 110 of about 251,595 (312)

A Hybrid Algorithm for Metaheuristic Optimization

CoRR, 2019
We propose a novel, flexible algorithm for combining together metaheuristicoptimizers for non-convex optimization problems. Our approach treatsthe constituent optimizers as a team of complex agents that communicateinformation amongst each other at various intervals during the simulationprocess.
Sujit Pramod Khanna, Alexander G. Ororbia II   +1 more
openaire   +2 more sources

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

A Vision of Collaborative Verification-Driven Engineering of Hybrid Systems

, 2013
Hybrid systems with both discrete and continuous dynamics are an important model for real-world physical systems. The key challenge is how to ensure their correct functioning w.r.t. safety requirements.
Stefan Mitsch, Grant Olney Passmore (5415671), Mitsch, Stefan, Platzer, André, Grant Olney Passmore, Andre Platzer (5363771), Passmore, Grant Olney, Stefan Mitsch (5415674), André Platzer   +8 more
core   +1 more source

Knowledge-Driven Two-Stage Hybrid Algorithm for Collaborative Reconnaissance Routing Problem of Ground Vehicle and Drones Considering Multi-Type Targets

Drones
The collaboration of ground vehicles (GVs) and drones offers a powerful approach for enhancing drone capabilities. Current research focuses on drone-only or single-type target reconnaissance, failing to adequately account for practical scenarios.
Xiao Liu, Qizhang Luo, Tianjun Liao, Guohua Wu   +3 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Robust Portfolio Optimization with a Hybrid Heuristic Algorithm [PDF]

Estimation errors in both the expected returns and the covariance matrix hamper the constructing of reliable portfolios within the Markowitz framework. Robust techniques that incorporate the uncertainty about the unknown parameters are suggested in the ...
Peter Winker, Björn Fastrich
core  

A hybrid particle swarm evolutionary algorithm for constrained multi-objective optimization [PDF]

, 2010
In this paper, a hybrid particle swarm evolutionary algorithm is proposed for solving constrained multi-objective optimization. Firstly, in order to keep some particles with smaller constraint violations, a threshold value is designed, the updating ...
Wei, Jingxuan, Wang, Yuping, Wang, Hua
core  

Hybrid Models for Automatic Speech Recognition: a Comparison of Classical ANN and Kernel Based Methods [PDF]

, 2007
Support Vector Machines (SVMs) are state-of-the-art methods for machine learning but share with more classical Artificial Neural Networks (ANNs) the difficulty of their application to input patterns of non-fixed dimension.
Peláez-Moreno, Carmen, Díaz de María, Fernando, Díaz-de-María, Fernando, Peláez Moreno, Carmen, Solera Ureña, R., García-Moral, Ana I.   +5 more
core   +1 more source

Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning

Firat University Journal of Experimental and Computational Engineering
This study aims to address the route-planning problem for autonomous systems, which plays a significant role in the operation of unmanned vehicles. A hybrid algorithm has been proposed to enhance the performance of metaheuristic algorithm approaches used
Gökhan Altun, İlhan Aydın
doaj   +1 more source