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Development of deep learning‐based equipment heat load detection for energy demand estimation and investigation of the impact of illumination

International journal of energy research, 2021-04, Vol.45 (5), p.7204-7221

2021

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A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand

Renewable energy, 2021-11, Vol.177, p.603-625

2021

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Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review

Energy and AI, 2022-11, Vol.10, p.100198, Article 100198

2022

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A Computer Vision-Based Occupancy and Equipment Usage Detection Approach for Reducing Building Energy Demand

Energies (Basel), 2021-01, Vol.14 (1), p.156

2021

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Study on interoperation and its' implementation of MES to support virtual factory

Journal of physics. Conference series, 2020-09, Vol.1633 (1), p.12152

2020

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Development and evaluation of a vision-based transfer learning approach for indoor fire and smoke detection

Building services engineering research & technology, 2022-05, Vol.43 (3), p.319-332

2022

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Therapeutic Drug Monitoring of Teicoplanin in Haematological Malignancy Patients with Febrile Neutropenia and Optimizing Dosage Regimens

Basic & clinical pharmacology & toxicology, 2018-11, Vol.123 (5), p.594-601

2018

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The impact of deep learning–based equipment usage detection on building energy demand estimation

Building services engineering research & technology, 2021-09, Vol.42 (5), p.545-557

2021

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Enhancing the detection performance of a vision-based occupancy detector for buildings

Proceedings of the Institution of Civil Engineers. Engineering sustainability, 2023-12, Vol.176 (6), p.301-314

2023

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Vision-based human activity recognition for reducing building energy demand

Building services engineering research & technology, 2021-11, Vol.42 (6), p.691-713

2021

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Time-Dependent Afterglow from a Single Component Organic Luminogen

Research (Washington), 2021, Vol.2021, p.9757460-9757460

2021

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Occupancy heat gain detection and prediction using deep learning approach for reducing building energy demand

Journal of Sustainable Development of Energy, Water and Environment Systems, 2021-09, Vol.9 (3), p.1-31

2021

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Analysis of the Thermal Comfort and Energy Performance of a Thermal Chair for Open Plan Office

Journal of Sustainable Development of Energy, Water and Environment Systems, 2020-06, Vol.8 (2), p.373-395

2020

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Characterizing the Dynamic Expression of C1q/TNF-α-Related Protein 6 (CTRP6) during Pregnancy in Humans and Mice with Gestational Diabetes Mellitus

Biomedicines, 2024-05, Vol.12 (5), p.1128

2024

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A deep learning framework for energy management and optimisation of HVAC systems

IOP conference series. Earth and environmental science, 2020-03, Vol.463 (1), p.12026

2020

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Effects of foliage boron-spraying on seed yields and fatty acid composition of tree peony (Paeonia ostii ‘Feng Dan’)

Wuhan University journal of natural sciences, 2018-02, Vol.23 (1), p.56-62

2018

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Activation of μ-opioid receptors in the central nucleus of the amygdala induces hypertonic sodium intake

Neuroscience, 2013-03, Vol.233, p.28-43

2013

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Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization

Building and environment, 2024-04, Vol.253, p.111277, Article 111277

2024

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A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions

Energy and buildings, 2020-11, Vol.226, p.110386, Article 110386

2020

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Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand

Applied energy, 2022-02, Vol.308, p.118336, Article 118336

2022

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Numerical and experimental investigation of the indoor air quality and thermal comfort performance of a low energy cooling windcatcher with heat pipes and extended surfaces

Renewable energy, 2020-01, Vol.145, p.744-756

2020

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Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method

Applied energy, 2020-11, Vol.277, p.115506, Article 115506

2020

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An occupant-centric control strategy for indoor thermal comfort, air quality and energy management

Energy and buildings, 2023-04, Vol.285, p.112899, Article 112899

2023

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Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis

Renewable energy, 2020-11, Vol.160, p.465-482

2020

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Advances in the Design of Functional Cellulose Based Nanopesticide Delivery Systems

Journal of agricultural and food chemistry, 2024-05, Vol.72 (20), p.11295-11307

2024

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Development of deep learning‐based equipment heat load detection for energy demand estimation and investigation of the impact of illumination

A deep learning approach towards the detection and recognition of opening of windows for effective management of building ventilation heat losses and reducing space heating demand

Machine Learning and Deep Learning Methods for Enhancing Building Energy Efficiency and Indoor Environmental Quality – A Review

A Computer Vision-Based Occupancy and Equipment Usage Detection Approach for Reducing Building Energy Demand

Study on interoperation and its' implementation of MES to support virtual factory

Development and evaluation of a vision-based transfer learning approach for indoor fire and smoke detection

Therapeutic Drug Monitoring of Teicoplanin in Haematological Malignancy Patients with Febrile Neutropenia and Optimizing Dosage Regimens

The impact of deep learning–based equipment usage detection on building energy demand estimation

Enhancing the detection performance of a vision-based occupancy detector for buildings

Vision-based human activity recognition for reducing building energy demand

Time-Dependent Afterglow from a Single Component Organic Luminogen

Occupancy heat gain detection and prediction using deep learning approach for reducing building energy demand

Analysis of the Thermal Comfort and Energy Performance of a Thermal Chair for Open Plan Office

Characterizing the Dynamic Expression of C1q/TNF-α-Related Protein 6 (CTRP6) during Pregnancy in Humans and Mice with Gestational Diabetes Mellitus

A deep learning framework for energy management and optimisation of HVAC systems

Effects of foliage boron-spraying on seed yields and fatty acid composition of tree peony (Paeonia ostii ‘Feng Dan’)

Activation of μ-opioid receptors in the central nucleus of the amygdala induces hypertonic sodium intake

Real-time clothing insulation level classification based on model transfer learning and computer vision for PMV-based heating system optimization through piecewise linearization

A vision-based deep learning approach for the detection and prediction of occupancy heat emissions for demand-driven control solutions

Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand

Numerical and experimental investigation of the indoor air quality and thermal comfort performance of a low energy cooling windcatcher with heat pipes and extended surfaces

Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method

An occupant-centric control strategy for indoor thermal comfort, air quality and energy management

Development of a natural ventilation windcatcher with passive heat recovery wheel for mild-cold climates: CFD and experimental analysis

Advances in the Design of Functional Cellulose Based Nanopesticide Delivery Systems

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