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Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Journal of cleaner production, 2020-07, Vol.260, p.121082, Article 121082

2020

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Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

Scientific reports, 2022-01, Vol.12 (1), p.1065-1065, Article 1065

2022

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Cloud forecasting system for monitoring and alerting of energy use by home appliances

Applied energy, 2019-09, Vol.249, p.166-177

2019

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A Parasitic Resistance-Adapted Programming Scheme for Memristor Crossbar-Based Neuromorphic Computing Systems

Materials, 2019-12, Vol.12 (24), p.4097

Ngoc Truong, Son

2019

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Hybrid machine learning for predicting strength of sustainable concrete

Soft computing (Berlin, Germany), 2020-10, Vol.24 (19), p.14965-14980

2020

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Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings

Scientific reports, 2022-09, Vol.12 (1), p.1-24, Article 15775

2022

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BIM to BEM Transition for Optimizing Envelope Design Selection to Enhance Building Energy Efficiency and Cost-Effectiveness

Energies (Basel), 2023-05, Vol.16 (10), p.3976

2023

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Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency

Computational intelligence and neuroscience, 2021, Vol.2021 (1), p.6028573-6028573

2021

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Compensating Circuit to Reduce the Impact of Wire Resistance in a Memristor Crossbar-Based Perceptron Neural Network

Micromachines (Basel), 2019-10, Vol.10 (10), p.671

Truong, Son Ngoc

2019

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An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings

Arabian journal for science and engineering (2011), 2022-04, Vol.47 (4), p.4105-4117

2022

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Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance

Journal of Asian architecture and building engineering, 2024-01, Vol.ahead-of-print (ahead-of-print), p.1-18

2024

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Developing the hybrid BIM-BEM and jellyfish search optimization system for optimizing energy consumption and building installation costs

Scientific reports, 2024-07, Vol.14 (1), p.17186-19, Article 17186

2024

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Single Crossbar Array of Memristors with Bipolar Inputs for Neuromorphic Image Recognition

IEEE access, 2020-01, Vol.8, p.1-1

Truong, Son Ngoc

2020

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Research on the Impact of Data Density on Memristor Crossbar Architectures in Neuromorphic Pattern Recognition

Micromachines (Basel), 2023-11, Vol.14 (11), p.1990

2023

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Neuromorphic crossbar circuit with nanoscale filamentary-switching binary memristors for speech recognition

Nanoscale research letters, 2014-11, Vol.9 (1), p.629-629, Article 629

2014

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HBSeNet: A Hybrid Bilateral Network for Accurate Semantic Segmentation of Remote Sensing Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2024, Vol.17, p.14179-14193

2024

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New Memristor-Based Crossbar Array Architecture with 50-% Area Reduction and 48-% Power Saving for Matrix-Vector Multiplication of Analog Neuromorphic Computing

JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, 2014, 14(3), 57, pp.356-363

2014

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A Low-cost Artificial Neural Network Model for Raspberry Pi

Engineering, technology & applied science research, 2020-04, Vol.10 (2), p.5466-5469

Truong, S. N.

2020

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Enhancing Building Energy Efficiency with Aluminum Composite Material Facade: A Performance Simulation Study using Building Energy Modeling and Building Information Modeling

IOP conference series. Materials Science and Engineering, 2023-08, Vol.1289 (1), p.12040

2023

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A memristor crossbar array of titanium oxide for non-volatile memory and neuromorphic applications

Semiconductor science and technology, 2017-05, Vol.32 (6), p.65014

2017

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Spatial-Pooling Memristor Crossbar Converting Sensory Information to Sparse Distributed Representation of Cortical Neurons

IEEE transactions on nanotechnology, 2018-05, Vol.17 (3), p.482-491

2018

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Noise and Memristance Variation Tolerance of Single Crossbar Architectures for Neuromorphic Image Recognition

Micromachines (Basel), 2021-06, Vol.12 (6), p.690

2021

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New Twin Crossbar Architecture of Binary Memristors for Low-Power Image Recognition With Discrete Cosine Transform

IEEE transactions on nanotechnology, 2015-11, Vol.14 (6), p.1104-1111

2015

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Sequential Memristor Crossbar for Neuromorphic Pattern Recognition

IEEE transactions on nanotechnology, 2016-11, Vol.15 (6), p.922-930

2016

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Time-Shared Twin Memristor Crossbar Reducing the Number of Arrays by Half for Pattern Recognition

Nanoscale research letters, 2017-12, Vol.12 (1), p.205-205, Article 205

2017

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Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings

Cloud forecasting system for monitoring and alerting of energy use by home appliances

A Parasitic Resistance-Adapted Programming Scheme for Memristor Crossbar-Based Neuromorphic Computing Systems

Hybrid machine learning for predicting strength of sustainable concrete

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings

BIM to BEM Transition for Optimizing Envelope Design Selection to Enhance Building Energy Efficiency and Cost-Effectiveness

Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency

Compensating Circuit to Reduce the Impact of Wire Resistance in a Memristor Crossbar-Based Perceptron Neural Network

An Ensemble Machine Learning Model for Enhancing the Prediction Accuracy of Energy Consumption in Buildings

Implementing a web-based optimized artificial intelligence system with metaheuristic optimization for improving building energy performance

Developing the hybrid BIM-BEM and jellyfish search optimization system for optimizing energy consumption and building installation costs

Single Crossbar Array of Memristors with Bipolar Inputs for Neuromorphic Image Recognition

Research on the Impact of Data Density on Memristor Crossbar Architectures in Neuromorphic Pattern Recognition

Neuromorphic crossbar circuit with nanoscale filamentary-switching binary memristors for speech recognition

HBSeNet: A Hybrid Bilateral Network for Accurate Semantic Segmentation of Remote Sensing Images

New Memristor-Based Crossbar Array Architecture with 50-% Area Reduction and 48-% Power Saving for Matrix-Vector Multiplication of Analog Neuromorphic Computing

A Low-cost Artificial Neural Network Model for Raspberry Pi

Enhancing Building Energy Efficiency with Aluminum Composite Material Facade: A Performance Simulation Study using Building Energy Modeling and Building Information Modeling

A memristor crossbar array of titanium oxide for non-volatile memory and neuromorphic applications

Spatial-Pooling Memristor Crossbar Converting Sensory Information to Sparse Distributed Representation of Cortical Neurons

Noise and Memristance Variation Tolerance of Single Crossbar Architectures for Neuromorphic Image Recognition

New Twin Crossbar Architecture of Binary Memristors for Low-Power Image Recognition With Discrete Cosine Transform

Sequential Memristor Crossbar for Neuromorphic Pattern Recognition

Time-Shared Twin Memristor Crossbar Reducing the Number of Arrays by Half for Pattern Recognition

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