Results 41 to 50 of about 161,130 (264)

PSO based Hyperparameter tuning of CNN Multivariate Time- Series Analysis

open access: yesJOIN: Jurnal Online Informatika, 2022
Convolutional Neural Network (CNN) is an effective Deep Learning (DL) algorithm that solves various image identification problems. The use of CNN for time-series data analysis is emerging.
Agung Bella Putra Utama   +3 more
doaj   +1 more source

PSO based Neural Networks vs. Traditional Statistical Models for Seasonal Time Series Forecasting

open access: yes, 2013
Seasonality is a distinctive characteristic which is often observed in many practical time series. Artificial Neural Networks (ANNs) are a class of promising models for efficiently recognizing and forecasting seasonal patterns.
Adhikari, Ratnadip   +2 more
core   +1 more source

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

open access: yesAdvanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao   +8 more
wiley   +1 more source

Research on intelligent fault identification method of coalfield based on the PSO-XGBoost algorithm

open access: yes矿业科学学报
In order to further improve the accuracy and efficiency of underground fault identification, an intelligent fault recognition model based on the extreme gradient boosting tree (XGBoost) machine learning algorithm was constructed for coal seam faults ...
LIN Peng   +4 more
doaj   +1 more source

Enhanced Trapping with an Optimized Graphene‐Based Bowtie Plasmonic Nanotweezer: Design, Analysis, and Bioanalytical Applications

open access: yesAdvanced Photonics Research, EarlyView.
A graphene‐based bowtie plasmonic nanotweezer is designed and optimized using particle swarm optimization and transfer matrix analysis. The structure achieves strong field confinement, delivering trapping forces up to 6 nN W−1 for 10 nm bioparticles with sixfold lower power requirements than conventional designs.
Saba Ebrahimpanah   +2 more
wiley   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

open access: yesAdvanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng   +5 more
wiley   +1 more source

Optimizing PSO for classification: comparison of Naïve Bayes and C4.5 for osteoporosis prediction

open access: yesJurnal Ilmiah SINERGI
Osteoporosis is a medical disease marked by a reduction in bone density, which significantly increases the risk of fractures. Osteoporosis patients do not always exhibit symptoms and because current diagnostic techniques have limitations, early detection
Zulfi Anugerahwati, Sri Lestari
doaj   +1 more source

Nonlinear system identification and control using state transition algorithm

open access: yes, 2015
By transforming identification and control for nonlinear system into optimization problems, a novel optimization method named state transition algorithm (STA) is introduced to solve the problems.
Alfi   +24 more
core   +1 more source

All‐PEG‐Like Block Copolymers Self‐Assemble into Stealth Nanocarriers for Drug Delivery

open access: yesAdvanced Science, EarlyView.
Self‐assembling nanoparticles composed entirely of POEGMA are engineered by exploiting side‐chain–dependent amphiphilicity and tunable thermoresponsive behavior. These single‐material nanocarriers encapsulate diverse hydrophobic drugs with high efficiency, retain therapeutic activity, improve in vivo efficacy, and evade anti‐PEG antibodies.
Parul Sirohi   +15 more
wiley   +1 more source

Integrating hedge algebras and optimization techniques to reduce forecasting errors in fuzzy time series model

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics)
Accurate forecasting in fuzzy time series (FTS) models is essential for applica-tions such as financial markets, traffic fatalities, and academic enrollments.
Nghiêm Văn Tính
doaj   +1 more source

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