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Found 12 papers, 3 papers with code
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images
Early detection of cancer can help improve patient prognosis by early intervention.
Nuclei-Location Based Point Set Registration of Multi-Stained Whole Slide Images
Whole Slide Images (WSIs) provide exceptional detail for studying tissue architecture at the cell level.
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models
Throughout the development of a machine learning (ML) model in digital pathology, it is crucial to have flexible, openly available tools to visualize models, from their outputs and predictions to the underlying annotations and images used to train or test a model.
Edge AI for Internet of Energy: Challenges and Perspectives
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary transformation with the integration of edge Artificial Intelligence (AI).
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc.
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 for monitoring power consumption and contributing to several challenges encountered when transiting to an efficient, sustainable, and competitive energy efficiency environment.
Non-Intrusive Load Monitoring
Computers and Society
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies.
Appliance-Level Monitoring with Micro-Moment Smart Plugs
Human population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming.
The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency
Recommendation systems are intelligent systems that support human decision making, and as such, they have to be explainable in order to increase user trust and improve the acceptance of recommendations.
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 power usage management and further helps in detecting appliance-level abnormalities.
Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based QR-decomposition
This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints.
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed.
