Results 101 to 110 of about 133,406 (290)
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Active Feedforward Disturbance Control System [PDF]
, 2011 PatentNoise effects in a signal for driving a plant are reduced by generating a reference signal from the error signal. A signal generator generates a reference signal for input to a finite impulse response (FIR) filter.
Agrawal, Brij N. +1 more
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Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
International Journal of Electrical Power & Energy SystemsThis paper investigates a novel adaptive voltage control over a three-phase grid-forming (GFM) inverter. The proposed voltage controller includes two function parts: power control input and signal control input. The former improves dynamic performance by
Renzhi Huang +6 more
doaj +1 more source
Jurnal Elkomika, 2019 ABSTRAK Sebuah konverter daya multilevel inverter diharapkan mampu untuk menyuplai tegangan AC ideal pada kondisi beban linier maupun nonlinier. Diharapkan metode kendali mampu cepat tanggap dan mampu mempertahankan bentuk tegangan AC keluaran inverter.
MOCHAMAD ARI BAGUS NUGROHO +2 more
doaj +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
IEEE AccessIn order to reduce the tracking and response errors of the electro-hydraulic servo system, improve the dynamic response quality of the system, enhance the adaptive ability of the system, and effectively solve the common problems of nonlinear interference
Mei Luhai
doaj +1 more source
Recurrent backpropagation and the dynamical approach to adaptive neural computation [PDF]
, 1989 Error backpropagation in feedforward neural network models is a popular learning algorithm that has its roots in nonlinear estimation and optimization.
Pineda, Fernando J.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang +4 more
wiley +1 more source
The Control of Non Isothermal CSTR Using Different Controller Strategies
Iraqi Journal of Chemical and Petroleum Engineering, 2012 In all process industries, the process variables like flow, pressure, level, concentration and temperature are the main parameters that need to be controlled in both set point and load changes.
Zahra'a F. Zuhwar
doaj