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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

Applied energy, 2021-04, Vol.287, p.116601, Article 116601

2021

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Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

International journal of intelligent systems, 2021-06, Vol.36 (6), p.2865-2894

2021

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An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals

International journal of intelligent systems, 2021-01, Vol.36 (1), p.72-93

2021

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Semantic content-based image retrieval: A comprehensive study

Journal of visual communication and image representation, 2015-10, Vol.32, p.20-54

2015

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The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency

International journal of intelligent systems, 2021-02, Vol.36 (2), p.656-680

2021

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Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

International journal of intelligent systems, 2022-10, Vol.37 (10), p.7124-7179

2022

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Intelligent Edge-Based Recommender System for Internet of Energy Applications

IEEE systems journal, 2022-09, Vol.16 (3), p.5001-5010

2022

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Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective

IEEE sensors journal, 2021-12, Vol.21 (24), p.27623-27631

2021

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The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving

IEEE systems journal, 2019-09, Vol.13 (3), p.3376-3387

2019

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Implementation of a real‐time stereo vision algorithm on a cost‐effective heterogeneous multicore platform

Concurrency and computation, 2023-01, Vol.35 (1), p.n/a

2023

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Analyzing Gas Data Using Deep Learning and 2-D Gramian Angular Fields

IEEE sensors journal, 2023-03, Vol.23 (6), p.6109-6116

2023

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System-on-Chip Solution for Patients Biometric: A Compressive Sensing-Based Approach

IEEE sensors journal, 2018-12, Vol.18 (23), p.9629-9639

2018

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Empowering Technology Enabled Care Using IoT and Smart Devices: A Review

IEEE sensors journal, 2018-03, Vol.18 (5), p.1790-1809

2018

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FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction

IEEE transactions on very large scale integration (VLSI) systems, 2015-10, Vol.23 (10), p.2209-2220

2015

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Neural Load Disaggregation: Meta-Analysis, Federated Learning and Beyond

Energies (Basel), 2023-01, Vol.16 (2), p.991

2023

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Compressive Sensing-Based IoT Applications: A Review

Journal of sensor and actuator networks, 2018-10, Vol.7 (4), p.45

2018

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Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations

IEEE access, 2020, Vol.8, p.15047-15055

2020

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Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement

Multimedia tools and applications, 2021-07, Vol.80 (18), p.28161-28177

2021

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A Hybrid Feature Selection Method for Complex Diseases SNPs

IEEE access, 2018-01, Vol.6, p.1292-1301

2018

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MLP Neural Network Based Gas Classification System on Zynq SoC

IEEE access, 2016, Vol.4, p.8138-8146

2016

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Exploiting 2-D Representations for Enhanced Indoor Localization: A Transfer Learning Approach

IEEE sensors journal, 2024-06, Vol.24 (12), p.19745-19755

2024

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A Micro-Moment System for Domestic Energy Efficiency Analysis

IEEE systems journal, 2021-03, Vol.15 (1), p.1256-1263

2021

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Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification

2022 IEEE International Conference on Image Processing (ICIP), 2022, p.3586-3590

2022

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MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation

Journal of digital imaging, 2020-10, Vol.33 (5), p.1224-1241

2020

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Dataset of IoT-based energy and environmental parameters in a smart building infrastructure

Data in brief, 2024-10, Vol.56, p.110769, Article 110769

2024

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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals

Semantic content-based image retrieval: A comprehensive study

The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency

Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

Intelligent Edge-Based Recommender System for Internet of Energy Applications

Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective

The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving

Implementation of a real‐time stereo vision algorithm on a cost‐effective heterogeneous multicore platform

Analyzing Gas Data Using Deep Learning and 2-D Gramian Angular Fields

System-on-Chip Solution for Patients Biometric: A Compressive Sensing-Based Approach

Empowering Technology Enabled Care Using IoT and Smart Devices: A Review

FPGA Implementation of Orthogonal Matching Pursuit for Compressive Sensing Reconstruction

Neural Load Disaggregation: Meta-Analysis, Federated Learning and Beyond

Compressive Sensing-Based IoT Applications: A Review

Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations

Point-Denoise: Unsupervised outlier detection for 3D point clouds enhancement

A Hybrid Feature Selection Method for Complex Diseases SNPs

MLP Neural Network Based Gas Classification System on Zynq SoC

Exploiting 2-D Representations for Enhanced Indoor Localization: A Transfer Learning Approach

A Micro-Moment System for Domestic Energy Efficiency Analysis

Creating 3D Gramian Angular Field Representations for Higher Performance Energy Data Classification

MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation

Dataset of IoT-based energy and environmental parameters in a smart building infrastructure

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