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Found 7 papers, 0 papers with code
Analyzing Compression Techniques for Computer Vision
Compressing deep networks is highly desirable for practical use-cases in computer vision applications.
Supervised Class-pairwise NMF for Data Representation and Classification
The objective of this work is to design an evolutionary framework to learn the hyper-parameter of the parameterized NMF and estimate the factorizing matrices in a supervised way to be more suitable for classification problems.
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
The task is treated as a regression problem where Machine Learning (ML) algorithms are used to predict the RUL of machine components.
Explainable Event Recognition
The results of the study indicate that 78%, 84%, and 78% of the model decisions on natural disasters, sports, and social events datasets, respectively, are based onevent-related objects or regions.
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
In this work, we propose a pipeline starting from manual annotation via a crowd-sourcing study and concluding on the development and training of AI models for automatic sentiment analysis of users' reviews.
SRE: Semantic Rules Engine For the Industrial Internet-Of-Things Gateways
Performance evaluations are also presented to validate its conformance to the customer requirements.
Attacks on practical quantum key distribution systems (and how to prevent them)
With the emergence of an information society, the idea of protecting sensitive data is steadily gaining importance.
Quantum Physics
