68 citations
- Brunel University of LondonGB3 papers
- Queen Mary University of LondonGB2 papers
- Beijing University of Posts and TelecommunicationsCN1 paper
- Boston UniversityUS1 paper
- BT ResearchGB1 paper
- Halton General HospitalGB1 paper
- Holon Institute of TechnologyIL1 paper
- Howard UniversityUS1 paper
- Imperial College Healthcare NHS TrustGB1 paper
- Imperial College LondonGB1 paper
- Kyungpook National UniversityKR1 paper
- Leipzig UniversityDE1 paper
12 papers
CIG-MAE: Cross-Modal Information-Guided Masked Autoencoder for Self-Supervised WiFi Sensing
Gang Liu, Yanling Hao, Yixuan Zou
Human Action Recognition using WiFi Channel State Information (CSI) has emerged as an attractive alternative to vision-based methods due to its ubiquity, device-agnostic nature, an…
Targeting Neurodegeneration: Three Machine Learning Methods for G9a Inhibitors Discovery Using PubChem and Scikit-learn
Mariya L. Ivanova, Nicola Russo, Konstantin Nikolic
In light of the increasing interest in G9a's role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researc…
IUPAC-Induced Computational Approaches for Identifying Boosters of Small Biomolecule Functionality: A Case Study of Human Tyrosyl-DNA Phosphodiesterase 1 (TDP1) Inhibitors
Mariya L. Ivanova, Nicola Russo, Gueorgui Mihaylov +1
This paper introduces several proof-of-concept (PoC) computational methods intended to offer biochemical researchers straightforward, time- and cost-effective strategies to acceler…
A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks
Kishan Sthankiya, Nagham Saeed, Greg McSorley +2
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approa…
On the Emergent "Quantum" Theory in Complex Adaptive Systems
Tristan Hubsch, Djordje Minic, Konstantin Nikolic +1
We explore the concept of emergent quantum-like theory in complex adaptive systems, and examine in particular the concrete example of such an emergent (or "mock") quantum theory in…
Dynamic Multi-time Scale User Admission and Resource Allocation for Semantic Extraction in MEC Systems
Yuanpeng Zheng, Tiankui Zhang, Jonathan Loo
This paper investigates the semantic extraction task-oriented dynamic multi-time scale user admission and resourceallocation in mobile edge computing (MEC) systems. Amid prevalence…