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08/24/2023
Federated Learning for Computer Vision
Computer Vision (CV) is playing a significant role in transforming socie...
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08/08/2023
Deep Learning for Diverse Data Types Steganalysis: A Review
Steganography and steganalysis are two interrelated aspects of the field...
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07/25/2023
ECG classification using Deep CNN and Gramian Angular Field
This paper study provides a novel contribution to the field of signal pr...
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07/14/2023
On the Sensitivity of Deep Load Disaggregation to Adversarial Attacks
Non-intrusive Load Monitoring (NILM) algorithms, commonly referred to as...
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04/27/2023
Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization
Automatic speech recognition (ASR) has recently become an important chal...
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04/17/2023
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives
Consumer's privacy is a main concern in Smart Grids (SGs) due to the sen...
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11/25/2021
Intelligent edge-based recommender system for internet of energy applications
Preserving energy in households and office buildings is a significant ch...
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11/22/2021
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
Recommender systems have been widely used in different application domai...
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02/09/2021
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Recommender systems have significantly developed in recent years in para...
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02/09/2021
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
Non-intrusive load monitoring (NILM) is a key cost-effective technology ...
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12/10/2020
Appliance-Level Monitoring with Micro-Moment Smart Plugs
Human population are striving against energy-related issues that not onl...
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10/16/2020
Cloud Energy Micro-Moment Data Classification: A Platform Study
Energy efficiency is a crucial factor in the well-being of our planet. I...
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10/10/2020
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency
The recent advances in artificial intelligence namely in machine learnin...
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10/09/2020
Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study
The environmental change and its effects, caused by human influences and...
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10/09/2020
Artificial Intelligence based Anomaly Detection of Energy Consumption in Buildings: A Review, Current Trends and New Perspectives
Enormous amounts of data are being produced everyday by sub-meters and s...
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10/08/2020
Energy Data Visualizations on Smartphones for Triggering Behavioral Change: Novel Vs. Conventional
This paper conveys the importance of using suitable data visualizations ...
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10/03/2020
Appliance identification using a histogram post-processing of 2D local binary patterns for smart grid applications
Identifying domestic appliances in the smart grid leads to a better powe...
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09/17/2020
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition
This paper proposes a new appliance identification scheme by introducing...
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09/17/2020
Efficient multi-descriptor fusion for non-intrusive appliance recognition
Consciousness about power consumption at the appliance level can assist ...
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09/17/2020
Building power consumption datasets: Survey, taxonomy and future directions
In the last decade, extended efforts have been poured into energy effici...
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09/14/2020
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Recently, tremendous interest has been devoted to develop data fusion st...
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06/27/2019