299 citations
- King's College LondonGB86 papers
- King's College - North CarolinaUS13 papers
- Imperial College LondonGB6 papers
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- European Organization for Nuclear ResearchCH5 papers
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- Centre National de la Recherche ScientifiqueFR4 papers
- Guy's and St Thomas' NHS Foundation TrustGB4 papers
- King's College Hospital NHS Foundation TrustGB4 papers
- St Thomas' HospitalGB4 papers
6 papers · 1 filter
Indirect detection of the QCD axion
Luca Visinelli, Bradley Johnson, Bradley J. Kavanagh +3
The QCD axion, originally proposed to solve the strong CP problem in QCD, is a prominent candidate for dark matter (DM). In the presence of strong magnetic fields, such as those ar…
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review
Karan Daga, Siddharth Agarwal, Zaeem Moti +5
Purpose: Subarachnoid haemorrhage is a potentially fatal consequence of intracranial aneurysm rupture, however, it is difficult to predict if aneurysms will rupture. Prophylactic t…
Quantum Information Processing, Sensing and Communications: Their Myths, Realities and Futures
Lajos Hanzo, Zunaira Babar, Zhenyu Cai +6
The recent advances in quantum information processing, sensing and communications are surveyed with the objective of identifying the associated knowledge gaps and formulating a roa…
TacPalm: A Soft Gripper with a Biomimetic Optical Tactile Palm for Stable Precise Grasping
Xuyang Zhang, Tianqi Yang, Dandan Zhang +1
Manipulating fragile objects in environments such as homes and factories requires stable and gentle grasping along with precise and safe placement. Compared to traditional rigid gr…
Joint Vehicle Connection and Beamforming Optimization in Digital Twin Assisted Integrated Sensing and Communication Vehicular Networks
Weihang Ding, Zhaohui Yang, Mingzhe Chen +2
This paper introduces an approach to harness digital twin (DT) technology in the realm of integrated sensing and communications (ISAC) in the sixth-generation (6G) Internet-of-ever…
DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic Surgery
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang +2
Precisely determining the contact force during safe interaction in Minimally Invasive Robotic Surgery (MIRS) is still an open research challenge. Inspired by post-operative qualita…