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27 de mai. de 2024 · English. Français. Dynamic simultaneous localization and mapping based on object tracking in occluded environment. Published online by Cambridge University Press: 27 May 2024. Weili Ding , Ziqi Pei , Tao Yang and. Taiyu Chen. Article. Metrics. Get access. Cite. Rights & Permissions. Abstract.
21 de mai. de 2024 · Employing a functional setting and approach based on localization-in-frequency and Littlewood–Paley decomposition, we obtain results on solvability, regularity, and symmetry of solutions. Keywords nonlinear elliptic boundary value problems localization-in-frequency techniques Littlewood–Paley decomposition solvability symmetry ...
Há 4 dias · Happel, D.: Triangulated categories in the representation theory of finite dimensional algebras. London Mathematical Society Lecture Note Series, 119. Cambridge University Press, Cambridge (1988) Haugland, J.: The Grothendieck group of an \(n\)-exangulated category. Appl. Categ. Structures 29(3), 431–446 (2021)
Há 1 dia · Hence, it builds on common observations, which show that earthquake ruptures begin in a localized region of a fault known as the hypocenter ... (Cambridge University Press, 2019).
27 de mai. de 2024 · Stroke is the most prevalent cause of acquired neurogenic stuttering, accounting for half of the reported cases in the literature. 13 In a study focusing on incidence of acquired stuttering following stroke, 5% of patients met the criteria for diagnosis of neurogenic stuttering. 14 People with acquired neurogenic stuttering may also present with associated behaviours such as fist clenching and ...
28 de mai. de 2024 · Building knowledge in environmental sustainability. By Tim Gillett & Jo Skelton. Research highlights multiple climate emergencies. Academic research is an important part of the solution to tackle the climate crisis.
Há 6 dias · Existing approaches rely heavily on labeled data from humans, and thus are not very scalable. This work takes a step toward addressing this problem by providing new methods for localizing events in space and time using the speech that naturally occurs within them. This type of data is ubiquitous, so in theory it would be a powerful learning signal.
