Performance prediction of proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection

Performance prediction of fuel cells using long short‐term memory recurrent neural network

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Meso‐macroporous Carbons Decorated with Ample Nitrogen Sites as Bifunctional Catalysts in CO 2 Catalytic Conversion and Oxygen Reduction Reaction

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Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter

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Predicting energy cost of public buildings by artificial neural networks, CART, and random forest

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AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling

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Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship

(2020) Hui Chen et al.   ENERGY

Designing AI‐aided analysis and prediction models for nonprecious metal electrocatalyst‐based proton exchange membrane fuel cells

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Building Auto-Encoder Intrusion Detection System based on random forest feature selection

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A deep reinforcement learning method for managing wind farm uncertainties through energy storage system control and external reserve purchasing

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Developing a virtual hydrogen sensor for detecting fuel starvation in solid oxide fuel cells using different machine learning algorithms

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Experimental and numerical study on catalyst layer of polymer electrolyte membrane fuel cell prepared with diverse drying methods

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A quasi 2D model for the interpretation of impedance and polarization of a planar Solid Oxide Fuel Cell with interconnects

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Proton exchange membrane fuel cell performance prediction using artificial neural network

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Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings

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Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application

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3D non-isothermal dynamic simulation of high temperature proton exchange membrane fuel cell in the start-up process

(2020) Jun Zhang et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Prediction of electrochemical characteristics of practical-size solid oxide fuel cells based on database of unit cell performance

(2020) Masashi Kishimoto et al.   APPLIED ENERGY

A multi-objective parametric study of the claw hydrogen pump for fuel cell vehicles using taguchi method and ANN

(2020) Pengtai Gu et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Attention-Based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation

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Evaluation of hot pressing parameters on the electrochemical performance of MEAs based on Aquivion® PFSA membranes

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Optimization and matching for range-extenders of electric vehicles with artificial neural network and genetic algorithm

(2019) Jinxing Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

High-performance and durable cathode catalyst layer with hydrophobic C@PTFE particles for low-Pt loading membrane assembly electrode of PEMFC

(2019) Meng Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Three-dimensional multi-phase model of PEM fuel cell coupled with improved agglomerate sub-model of catalyst layer

(2019) Biao Xie et al.   ENERGY CONVERSION AND MANAGEMENT

A Bolasso based consistent feature selection enabled random forest classification algorithm: An application to credit risk assessment

(2019) Nisha Arora et al.   APPLIED SOFT COMPUTING

Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature

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Long-term degradation behaviors research on a direct methanol fuel cell with more than 3000h lifetime

(2018) Ming Chen et al.   ELECTROCHIMICA ACTA

A comprehensive review on hybrid power system for PEMFC-HEV: Issues and strategies

(2018) Xueqin Lü et al.   ENERGY CONVERSION AND MANAGEMENT

A review of Convolutional-Neural-Network-based action recognition

(2018) Guangle Yao et al.   PATTERN RECOGNITION LETTERS

Unveiling the high-activity origin of single-atom iron catalysts for oxygen reduction reaction

(2018) Liu Yang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Nanoscale Structure Design for High-Performance Pt-Based ORR Catalysts

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Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines

(2018) Jinrui Wang et al.   NEUROCOMPUTING

Automated epileptic seizure detection using improved correlation-based feature selection with random forest classifier

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In Situ Polymer Graphenization Ingrained with Nanoporosity in a Nitrogenous Electrocatalyst Boosting the Performance of Polymer-Electrolyte-Membrane Fuel Cells

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Networking Pyrolyzed Zeolitic Imidazolate Frameworks by Carbon Nanotubes Improves Conductivity and Enhances Oxygen-Reduction Performance in Polymer-Electrolyte-Membrane Fuel Cells

(2016) Chao Zhang et al.   ADVANCED MATERIALS

Effect of fabrication and operating parameters on electrochemical property of anode and cathode for direct methanol fuel cells

(2016) Guicheng Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Performance prediction and analysis of a PEM fuel cell operating on pure oxygen using data-driven models: A comparison of artificial neural network and support vector machine

(2016) In-Su Han et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Activity, Performance, and Durability for the Reduction of Oxygen in PEM Fuel Cells, of Fe/N/C Electrocatalysts Obtained from the Pyrolysis of Metal-Organic-Framework and Iron Porphyrin Precursors

(2015) Lijun Yang et al.   ELECTROCHIMICA ACTA

Highly Efficient Non-Precious Metal Electrocatalysts Prepared from One-Pot Synthesized Zeolitic Imidazolate Frameworks

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Iron-based cathode catalyst with enhanced power density in polymer electrolyte membrane fuel cells

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