Results 81 to 90 of about 30,328 (257)
Flash-flood forecasting by means of neural networks and nearest neighbour approach – a comparative study [PDF]
In this paper, Multi-Layer Perceptron and Radial-Basis Function Neural Networks, along with the Nearest Neighbour approach and linear regression are utilized for flash-flood forecasting in the mountainous Nysa Klodzka river catchment.
A. Piotrowski +2 more
doaj
Neural adaptive sliding mode controller for unmanned surface vehicle steering system
Unmanned surface vehicle has the properties such as complexity, nonlinearity, time variability, and uncertainty, which lead to the difficulty of obtaining a precise kinematics model.
Lili Wan +4 more
doaj +1 more source
Switchable Magnonic Crystals Based on Spin Crossover/CrSBr Heterostructures
Multiscale modeling is employed to investigate the functionality of a light‐controlled, tunable magnonic crystal based on spin‐crossover Fe‐pz molecules integrated with a monolayer of CrSBr. Ab initio simulations confirm that the molecules remain functional on the CrSBr surface, while a semiclassical elastic model demonstrates that light‐induced ...
Andrei Shumilin +4 more
wiley +1 more source
Long-Term Peak Demand Forecasting by Using Radial Basis Function Neural Networks
Prediction of peak loads in Iran up to year 2011 is discussed using the Radial Basis Function Networks (RBFNs). In this study, total system load forecast reflecting the current and future trends is carried out for global grid of Iran.
L. Ghods, M. Kalantar
doaj
This paper investigates the tracking problem of fractional-order multi-agent systems. Both the order and parameters of the leader are unknown. Firstly, based on the positive system approach, the asymptotically stable criteria for incommensurate linear ...
Conggui Huang, Fei Wang
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A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
Topology‐Orchestrated Multi‐physical Energy Control in Turtle Shell‐Inspired Metamaterials
A turtle shell‐inspired lattice metamaterial efficiently manages acoustic, fluid‐thermal, and mechanical energy flows simultaneously. The unique hybrid‐coupling architecture achieves superior sound attenuation via pore‐cavity resonance, facilitates effective airflow transport, and maximizes mechanical energy absorption through multistage cell ...
Xi Wang +3 more
wiley +1 more source
The radial basis function architecture and the multilayer perceptron architecture are very different approaches to neural networks in theory and practice.
László Kovács
doaj +1 more source
Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase +6 more
wiley +1 more source

