Zobrazeno 1 - 10
of 18 759
pro vyhledávání: '"Neil, D."'
Publikováno v:
Journal of the International Society of Sports Nutrition, Vol 21, Iss 1 (2024)
Background There is growing interest in the potential of alternative modes of caffeine administration for enhancing sports performance. Given that alternative modes may evoke improved physical performance via distinct mechanisms, effects may not be c
Externí odkaz:
https://doaj.org/article/5e54b799eba14a67b39fccef3c8edcf6
Autor:
Zauner, Markus, Lusher, David J., Moise, Pradeep, Sansica, Andrea, Hashimoto, Atsushi, Sandham, Neil D.
Recent research into buffet in the transonic flow regime has been focused on a limited number of proprietary airfoil geometries and has mainly considered parametric variations in Mach number and angle of attack. In contrast, relatively little is know
Externí odkaz:
http://arxiv.org/abs/2410.06341
Autor:
Cassidy, Bill, Mcbride, Christian, Kendrick, Connah, Reeves, Neil D., Pappachan, Joseph M., Fernandez, Cornelius J., Chacko, Elias, Brüngel, Raphael, Friedrich, Christoph M., Alotaibi, Metib, AlWabel, Abdullah Abdulaziz, Alderwish, Mohammad, Lai, Kuan-Ying, Yap, Moi Hoon
Chronic wounds and associated complications present ever growing burdens for clinics and hospitals world wide. Venous, arterial, diabetic, and pressure wounds are becoming increasingly common globally. These conditions can result in highly debilitati
Externí odkaz:
http://arxiv.org/abs/2410.03359
This paper, a technical summary of our preceding publication, introduces a robust machine learning framework for the detection of vocal activities of Coppery titi monkeys. Utilizing a combination of MFCC features and a bidirectional LSTM-based classi
Externí odkaz:
http://arxiv.org/abs/2407.01452
Autor:
Ravuri, Aditya, Lawrence, Neil D.
This paper shows that the dimensionality reduction methods, UMAP and t-SNE, can be approximately recast as MAP inference methods corresponding to a generalized Wishart-based model introduced in ProbDR. This interpretation offers deeper theoretical in
Externí odkaz:
http://arxiv.org/abs/2405.17412
What if end users could own the software development lifecycle from conception to deployment using only requirements expressed in language, images, video or audio? We explore this idea, building on the capabilities that generative Artificial Intellig
Externí odkaz:
http://arxiv.org/abs/2405.13708
Dimensionality reduction is crucial for analyzing large-scale single-cell RNA-seq data. Gaussian Process Latent Variable Models (GPLVMs) offer an interpretable dimensionality reduction method, but current scalable models lack effectiveness in cluster
Externí odkaz:
http://arxiv.org/abs/2405.03879
Autor:
Felden, Antoine, Baty, James W., Chapple, David G., Gruber, Monica A. M., Haywood, John, Paris, Carolina, Suarez, Andrew V., Tsutsui, Neil D., Lester, Philip J.
Publikováno v:
Diversity and Distributions, 2024 Aug 01. 30(8), 1-15.
Externí odkaz:
https://www.jstor.org/stable/48780050
Autor:
Barrie, Neil D., Han, Chengcheng
We present a minimal framework that realises successful Dirac Leptogenesis through the Affleck-Dine mechanism. A single right-handed neutrino and a neutrinophillic Higgs doublet are introduced to the Standard Model, which couple via a Yukawa interact
Externí odkaz:
http://arxiv.org/abs/2402.15245
Software systems impact society at different levels as they pervasively solve real-world problems. Modern software systems are often so sophisticated that their complexity exceeds the limits of human comprehension. These systems must respond to chang
Externí odkaz:
http://arxiv.org/abs/2401.11370