Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Gemma Roig"'
Autor:
Benjamin Lahner, Kshitij Dwivedi, Polina Iamshchinina, Monika Graumann, Alex Lascelles, Gemma Roig, Alessandro Thomas Gifford, Bowen Pan, SouYoung Jin, N. Apurva Ratan Murty, Kendrick Kay, Aude Oliva, Radoslaw Cichy
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-26 (2024)
Abstract Studying the neural basis of human dynamic visual perception requires extensive experimental data to evaluate the large swathes of functionally diverse brain neural networks driven by perceiving visual events. Here, we introduce the BOLD Mom
Externí odkaz:
https://doaj.org/article/e150955651534ab096a5569df84a431f
Publikováno v:
Signals, Vol 5, Iss 2, Pp 181-201 (2024)
X-ray photoelectron spectroscopy (XPS) remains a fundamental technique in materials science, offering invaluable insights into the chemical states and electronic structure of a material. However, the interpretation of XPS spectra can be complex, requ
Externí odkaz:
https://doaj.org/article/09cfffe255174e8387e3bc7fd7ba8ce8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract To navigate through their immediate environment humans process scene information rapidly. How does the cascade of neural processing elicited by scene viewing to facilitate navigational planning unfold over time? To investigate, we recorded h
Externí odkaz:
https://doaj.org/article/e6365c9d9d6f40e696f4fbdae3fd5bdb
Publikováno v:
AI, Vol 5, Iss 1, Pp 91-114 (2023)
In today’s complex economic environment, individuals and households alike grapple with the challenge of financial planning. This paper introduces novel methodologies for both individual and cooperative (household) financial budgeting. We firstly pr
Externí odkaz:
https://doaj.org/article/a2c8ac13fa8440b189bf6c0ec6ffee58
Publikováno v:
Sensors, Vol 23, Iss 22, p 9225 (2023)
With the rise in traffic congestion in urban centers, predicting accidents has become paramount for city planning and public safety. This work comprehensively studied the efficacy of modern deep learning (DL) methods in forecasting traffic accidents
Externí odkaz:
https://doaj.org/article/b7bc8b2aae044142a8f81ad55a64b58c
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119754- (2022)
The human brain achieves visual object recognition through multiple stages of linear and nonlinear transformations operating at a millisecond scale. To predict and explain these rapid transformations, computational neuroscientists employ machine lear
Externí odkaz:
https://doaj.org/article/03e23e455c0743459dfd0d22f9ed0be5
Publikováno v:
Sensors, Vol 23, Iss 13, p 5899 (2023)
This paper presents an exploration into the capabilities of an adaptive PID controller within the realm of truck platooning operations, situating the inquiry within the context of Cognitive Radio and AI-enhanced 5G and Beyond 5G (B5G) networks. We de
Externí odkaz:
https://doaj.org/article/662ea437667a4bc4964da624cbc1a554
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 8, p e1009267 (2021)
The human visual cortex enables visual perception through a cascade of hierarchical computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven approach to discover the functional mapping of the visual cortex. We r
Externí odkaz:
https://doaj.org/article/342e003ef74b46c0aa41a954dd3f4c5e
Autor:
Jiahui Huang, Yew Ken Chia, Samson Yu, Kevin Yee, Dennis Küster, Eva G. Krumhuber, Dorien Herremans, Gemma Roig
Publikováno v:
Sensors, Vol 22, Iss 9, p 3533 (2022)
In this paper, we introduce an approach for future frames prediction based on a single input image. Our method is able to generate an entire video sequence based on the information contained in the input frame. We adopt an autoregressive approach in
Externí odkaz:
https://doaj.org/article/4a2370fcd3274e7c8127d7854de3ce99
Publikováno v:
Sensors, Vol 21, Iss 24, p 8356 (2021)
In this paper, we tackle the problem of predicting the affective responses of movie viewers, based on the content of the movies. Current studies on this topic focus on video representation learning and fusion techniques to combine the extracted featu
Externí odkaz:
https://doaj.org/article/b34e149f49b6439386b991879fd70d1a