Zobrazeno 1 - 10
of 12 929
pro vyhledávání: '"Ayodeji, A. A."'
Autor:
Xiong, Qi, Gong, Yan, Zhou, Xingchen, Lin, Hengjie, Deng, Furen, Li, Ziwei, Ibitoye, Ayodeji, Chen, Xuelei, Fan, Zuhui, Guo, Qi, Li, Ming, Liu, Yun, Pei, Wenxiang
We explore the joint weak lensing and galaxy clustering analysis from the photometric survey operated by the China Space Station Telescope (CSST), and study the strength of the cosmological constraints. We employ a high-resolution JiuTian-1G simulati
Externí odkaz:
http://arxiv.org/abs/2410.19388
Autor:
Abdulaal, Ahmed, Fry, Hugo, Montaña-Brown, Nina, Ijishakin, Ayodeji, Gao, Jack, Hyland, Stephanie, Alexander, Daniel C., Castro, Daniel C.
Radiological services are experiencing unprecedented demand, leading to increased interest in automating radiology report generation. Existing Vision-Language Models (VLMs) suffer from hallucinations, lack interpretability, and require expensive fine
Externí odkaz:
http://arxiv.org/abs/2410.03334
Recent advances in robotics bring us closer to the reality of living, co-habiting, and sharing personal spaces with robots. However, it is not clear how close a co-located robot can be to a human in a shared environment without making the human uncom
Externí odkaz:
http://arxiv.org/abs/2409.01768
Autor:
Ijishakin, Ayodeji, Aguila, Ana Lawry, Levitis, Elizabeth, Abdulaal, Ahmed, Altmann, Andre, Cole, James
Combining neuroimaging datasets from multiple sites and scanners can help increase statistical power and thus provide greater insight into subtle neuroanatomical effects. However, site-specific effects pose a challenge by potentially obscuring the bi
Externí odkaz:
http://arxiv.org/abs/2408.15890
Autor:
Lindblad, Ayodeji
A $\textit{spherical $t$-design curve}$ was defined by Ehler and Gr\"{o}chenig to be a continuous, piecewise smooth, closed curve on the sphere with finitely many self-intersections whose associated line integral applied to any polynomial of degree $
Externí odkaz:
http://arxiv.org/abs/2408.04044
This paper conducts a comprehensive examination of the infrastructure supporting cryptojacking operations. The analysis elucidates the methodologies, frameworks, and technologies malicious entities employ to misuse computational resources for unautho
Externí odkaz:
http://arxiv.org/abs/2408.03426
Autor:
Ijishakin, Ayodeji, Hadjasavilou, Adamos, Abdulaal, Ahmed, Montana-Brown, Nina, Townend, Florence, Spinelli, Edoardo, Fillipi, Massimo, Agosta, Federica, Cole, James, Malaspina, Andrea
Predicting survival in Amyotrophic Lateral Sclerosis (ALS) is a challenging task. Magnetic resonance imaging (MRI) data provide in vivo insight into brain health, but the low prevalence of the condition and resultant data scarcity limit training set
Externí odkaz:
http://arxiv.org/abs/2407.14191
Autor:
Abioye, Ayodeji O., Landowska, Aleksandra, Hunt, William, Maior, Horia, Ramchurn, Sarvapali D., Naiseh, Mohammad, Banks, Alec, Soorati, Mohammad D.
One of the challenges of human-swarm interaction (HSI) is how to manage the operator's workload. In order to do this, we propose a novel neurofeedback technique for the real-time measurement of workload using functional near-infrared spectroscopy (fN
Externí odkaz:
http://arxiv.org/abs/2405.07834
Autor:
Ijishakin, Ayodeji, Martin, Sophie, Townend, Florence, Agosta, Federica, Spinelli, Edoardo Gioele, Basaia, Silvia, Schito, Paride, Falzone, Yuri, Filippi, Massimo, Cole, James, Malaspina, Andrea
Publikováno v:
Deep Generative Models for Health Workshop, NeurIPS 2023
Brain age prediction models have succeeded in predicting clinical outcomes in neurodegenerative diseases, but can struggle with tasks involving faster progressing diseases and low quality data. To enhance their performance, we employ a semi-supervise
Externí odkaz:
http://arxiv.org/abs/2402.09137
Autor:
Abioye, Ayodeji O., Hunt, William, Gu, Yue, Schneiders, Eike, Naiseh, Mohammad, Fischer, Joel E., Ramchurn, Sarvapali D., Soorati, Mohammad D., Archibald, Blair, Sevegnani, Michele
Formal Modelling is often used as part of the design and testing process of software development to ensure that components operate within suitable bounds even in unexpected circumstances. In this paper, we use predictive formal modelling (PFM) at run
Externí odkaz:
http://arxiv.org/abs/2401.11945