Results 121 to 130 of about 46,986 (307)
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +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
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
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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
Control-Oriented Neural Network Quantization in Feedforward Control System
SICE Journal of Control, Measurement, and System IntegrationIn this paper, we focus on the weight quantization problem of neural networks, which is essential for practical implementation in control systems. In our previous work, we proposed a weight coefficient quantization method that preserves the intrinsic ...
Naoki Tsubone +2 more
doaj +1 more source
EnergiesIn weak grid, feedforward of grid voltage control is widely used to effectively suppress grid-side current distortion of inverters caused by harmonics in point of common coupling (PCC) voltage. However, due to its introduction of a positive feedback loop
Su’e Wang, Kaiyuan Cui, Pengfei Hao
doaj +1 more source
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
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
A comparison of two feedforward control structure assessment methods
, 2003 The most common loop in an industrial plant is a SISO-loop with a PI(D)controller. If the loop is affected by disturbances,these can be handled by adding a feedforward control action. In an industrial control system there are many measured signals, apart
Petersson, Mikael +3 more
core +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