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Astroglial connexin43 hemichannels tune basal excitatory synaptic transmission

The Journal of neuroscience, 2014-08, Vol.34 (34), p.11228-11232

2014

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Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

IET electric power applications, 2024-03, Vol.18 (3), p.297-311

2024

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Regulation of feeding by somatostatin neurons in the tuberal nucleus

Science (American Association for the Advancement of Science), 2018-07, Vol.361 (6397), p.76-81

2018

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An Optimal Solution for Smooth and Non-Smooth Cost Functions-Based Economic Dispatch Problem

Energies (Basel), 2020-07, Vol.13 (14), p.3721

2020

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Optimal Feature Selection for Power-Quality Disturbances Classification

IEEE transactions on power delivery, 2011-10, Vol.26 (4), p.2342-2351

2011

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Wind energy system fault classification using deep CNN and improved PSO‐tuned extreme gradient boosting

IET renewable power generation, 2024-10, Vol.18 (14), p.2496-2511

2024

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Optimal optimisation-based microgrid scheduling considering impacts of unexpected forecast errors due to the uncertainty of renewable generation and loads fluctuation

IET renewable power generation, 2020-02, Vol.14 (2), p.321-331

2020

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A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions

Sensors (Basel, Switzerland), 2022-06, Vol.22 (13), p.4705

2022

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Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Optimised approach of feature selection based on genetic and binary state transition algorithm in the classification of bearing fault in BLDC motor

IET electric power applications, 2020-12, Vol.14 (13), p.2598-2608

2020

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A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure

IEEE access, 2021, Vol.9, p.78241-78252

2021

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A neural circuit for excessive feeding driven by environmental context in mice

Nature neuroscience, 2021-08, Vol.24 (8), p.1132-1141

2021

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Induction Motor Fault Classification Based on ROC Curve and t-SNE

IEEE access, 2021, Vol.9, p.56330-56343

2021

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Short-Term Electricity Price Forecasting Based on Similar Day-Based Neural Network

Energies (Basel), 2020-09, Vol.13 (17), p.4408

2020

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An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines

IEEE access, 2021, Vol.9, p.102671-102686

2021

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Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting

Energy systems integration, 2024-03

2024

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Virtual Visualization of Generator Operation Condition through Generator Capability Curve

Energies (Basel), 2021-01, Vol.14 (1), p.185

2021

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A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis

IEEE access, 2022, Vol.10, p.56691-56705

2022

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Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory

IEEE access, 2020, Vol.8, p.198343-198356

2020

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Levetiracetam inhibits glutamate transmission through presynaptic P/Q‐type calcium channels on the granule cells of the dentate gyrus

British journal of pharmacology, 2009-12, Vol.158 (7), p.1753-1762

2009

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Application of Hybrid Model between the Technique for Order of Preference by Similarity to Ideal Solution and Feature Extractions for Bearing Defect Classification

Mathematics (Basel), 2023-03, Vol.11 (6), p.1442

2023

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A Hybrid Whale Optimization Algorithm for Global Optimization

Mathematics (Basel), 2021-07, Vol.9 (13), p.1477

2021

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Lovastatin modulates glycogen synthase kinase-3β pathway and inhibits mossy fiber sprouting after pilocarpine-induced status epilepticus

PloS one, 2012-06, Vol.7 (6), p.e38789

2012

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Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN

Symmetry (Basel), 2021-01, Vol.13 (1), p.104

2021

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Astroglial connexin43 hemichannels tune basal excitatory synaptic transmission

Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

Regulation of feeding by somatostatin neurons in the tuberal nucleus

An Optimal Solution for Smooth and Non-Smooth Cost Functions-Based Economic Dispatch Problem

Optimal Feature Selection for Power-Quality Disturbances Classification

Wind energy system fault classification using deep CNN and improved PSO‐tuned extreme gradient boosting

Optimal optimisation-based microgrid scheduling considering impacts of unexpected forecast errors due to the uncertainty of renewable generation and loads fluctuation

A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions

Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network

Optimised approach of feature selection based on genetic and binary state transition algorithm in the classification of bearing fault in BLDC motor

A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model

Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure

A neural circuit for excessive feeding driven by environmental context in mice

Induction Motor Fault Classification Based on ROC Curve and t-SNE

Short-Term Electricity Price Forecasting Based on Similar Day-Based Neural Network

An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines

Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting

Virtual Visualization of Generator Operation Condition through Generator Capability Curve

A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis

Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory

Levetiracetam inhibits glutamate transmission through presynaptic P/Q‐type calcium channels on the granule cells of the dentate gyrus

Application of Hybrid Model between the Technique for Order of Preference by Similarity to Ideal Solution and Feature Extractions for Bearing Defect Classification

A Hybrid Whale Optimization Algorithm for Global Optimization

Lovastatin modulates glycogen synthase kinase-3β pathway and inhibits mossy fiber sprouting after pilocarpine-induced status epilepticus

Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN

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