27 citations
6 papers
QMProt: A Comprehensive Dataset of Quantum Properties for Proteins
Laia Coronas Sala, Parfait Atchade-Adelemou
We introduce Quantum Mechanics for Proteins (QMProt), a dataset developed to support quantum computing applications in protein research. QMProt contains precise quantum-mechanical…
Efficient Protein Ground State Energy Computation via Fragmentation and Reassembly
Laia Coronas Sala, Parfait Atchade-Adelemou
Protein characterization is one of the key components for understanding the human body and advancing drug discovery processes. While the future of quantum hardware holds the potent…
Leveraging Machine Learning to Overcome Limitations in Quantum Algorithms
Laia Coronas Sala, Parfait Atchade-Adelemou
Quantum Computing (QC) offers outstanding potential for molecular characterization and drug discovery, particularly in solving complex properties like the Ground State Energy (GSE)…
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster
Zhongzheng Yuan, Tommy Azzino, Yu Hao +12
Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are compu…
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding
Luka Murn, Saverio Blasi, Alan F. Smeaton +1
The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bri…
Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding
Marc Górriz, Saverio Blasi, Alan F. Smeaton +2
Neural networks can be successfully used to improve several modules of advanced video coding schemes. In particular, compression of colour components was shown to greatly benefit f…