Results 41 to 50 of about 73,502 (293)
Research on intelligent fault identification method of coalfield based on the PSO-XGBoost algorithm
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
Information Hiding using LSB Technique based On Developed PSO Algorithm
, 2018 Generally, The sending process of secret information via the transmission channel or any carrier medium is not secured. For this reason, the techniques of information hiding are needed. Therefore, steganography must take place before transmission.
Shukur, Wisam Abed +3 more
core +2 more sources
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced 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
The landslide susceptibility index (LSI) produced by the GWR-PSO-SVM coupled model.
, 2020 The landslide susceptibility index (LSI) produced by the GWR-PSO-SVM coupled model.
Huachen Gao (8562048) +1 more
core +1 more source
A Novel Hybrid GA-PSO-based Optimization of Transmission & Expansion Planning
, 2022 In a power system environment, transmission & expansion planning (TNEP) is gaining attention and becoming an essential and computationally very challenging problem.
Anoop Arya (13187196), Anoop Arya
core +1 more source
Advanced Science, EarlyView.ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source
Optimizing PSO for classification: comparison of Naïve Bayes and C4.5 for osteoporosis prediction
Jurnal Ilmiah SINERGIOsteoporosis 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
PSO-BP neural network algorithm model.
, 2016 PSO-BP neural network algorithm model.
Hao Shi (158171) +3 more
core +1 more source
The landslide susceptibility zoning (LSZ) based on the GWR-PSO-SVM coupled model.
, 2020 The landslide susceptibility zoning (LSZ) based on the GWR-PSO-SVM coupled model.
Huachen Gao (8562048) +1 more
core +1 more source
Super‐Resolution and High‐Data‐Density Acoustic Meta‐Hologram via Amplitude and Phase Coupling
Advanced Science, EarlyView.A super‐resolution acoustic meta‐hologram utilizes amplitude‐phase coupling under energy conservation constraints to overcome the traditional diffraction limit. This conceptually advanced approach achieves high‐fidelity acoustic field reconstruction and dense information transmission, unlocking new potentials for high‐resolution acoustic imaging and ...
Xiao Guo +15 more
wiley +1 more source