A survey on deep semi-supervised learning
Deep semi-supervised learning is a fast-growing field with a range of practical applications.
This paper provides a comprehensive survey on both fundamentals and recent advances in …
This paper provides a comprehensive survey on both fundamentals and recent advances in …
Optical music recognition: State of the art and major challenges
Optical Music Recognition (OMR) is concerned with transcribing sheet music into a machine-
readable format. The transcribed copy should allow musicians to compose, play and edit …
readable format. The transcribed copy should allow musicians to compose, play and edit …
Machine learning-based optimization of process parameters in selective laser melting for biomedical applications
Titanium-based alloy products manufactured by Selective Laser Melting (SLM) have been
widely used in biomedical applications, owing to their high biocompatibility, significantly …
widely used in biomedical applications, owing to their high biocompatibility, significantly …
Multitask deep-learning-based design of chiral plasmonic metamaterials
The field of chiral plasmonics has registered considerable progress with machine-learning
(ML)-mediated metamaterial prototyping, drawing from the success of ML frameworks in …
(ML)-mediated metamaterial prototyping, drawing from the success of ML frameworks in …
Evolving deep learning convolutional neural networks for early COVID-19 detection in chest X-ray images
This article proposes a framework that automatically designs classifiers for the early
detection of COVID-19 from chest X-ray images. To do this, our approach repeatedly makes …
detection of COVID-19 from chest X-ray images. To do this, our approach repeatedly makes …
A deep learning framework for detection of targets in thermal images to improve firefighting
M Bhattarai, M Martinez-Ramon - IEEE Access, 2020 - ieeexplore.ieee.org
Intelligent detection and processing capabilities can be instrumental in improving the safety,
efficiency, and successful completion of rescue missions conducted by firefighters in …
efficiency, and successful completion of rescue missions conducted by firefighters in …
Deep learning for the design of 3D chiral plasmonic metasurfaces
Chiral plasmonic metasurfaces are promising for enlarging the chiral signals of
biomolecules and improving the sensitivity of bio-sensing. However, the design process of …
biomolecules and improving the sensitivity of bio-sensing. However, the design process of …
Real-time machine learning for symbol detection in MIMO-OFDM systems
Recently, there have been renewed interests in applying machine learning (ML) techniques
to wireless systems. Nevertheless, ML-based approaches often require a large amount of …
to wireless systems. Nevertheless, ML-based approaches often require a large amount of …
Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting
In this paper, the effects of two key process parameters of the selective laser melting
process, namely laser power and scanning speed, on the single-track morphologies and the …
process, namely laser power and scanning speed, on the single-track morphologies and the …
A cost-efficient digital esn architecture on fpga for ofdm symbol detection
The echo state network (ESN) is a recently developed machine-learning paradigm whose
processing capabilities rely on the dynamical behavior of recurrent neural networks. Its …
processing capabilities rely on the dynamical behavior of recurrent neural networks. Its …