Results 131 to 140 of about 1,562 (223)

Morphological symmetry-aware generalized policy network for deep reinforcement learning. [PDF]

Front Robot AI
Hakoda R, Liu Y, Hwang M, Sato Y, Takamatsu J, Ikeuchi K, Oishi T.   +6 more
europepmc   +1 more source

Is free trade good for renewable resources? Brander and Taylor redux

Canadian Journal of Economics/Revue canadienne d'économique, EarlyView.
Abstract This paper generalizes the original Brander and Taylor model of open‐access renewable resource use and trade to address three common critiques. First, I introduce heterogeneity across agents in harvesting productivity to smooth out the model's extreme specialization patterns while maintaining its Ricardian structure and tractability. Second, I
M. Scott Taylor
wiley   +1 more source

Clinicopathological significance of histological diversity in gastric adenocarcinoma with primitive enterocyte phenotype: A methylation-driven aggressive entity. [PDF]

World J Gastroenterol
Li HQ, Zheng LQ, Huang WT, Yu XB, Zhang X, Lin L, Lv SS, Yan XY, Chen XY.   +8 more
europepmc   +1 more source

Fused Collapsing for Wide BVH Construction

Computer Graphics Forum, EarlyView.
Abstract We propose a novel approach for constructing wide bounding volume hierarchies on the GPU by integrating a simple bottom‐up collapsing procedure within an existing binary bottom‐up BVH builder. Our approach directly constructs a wide BVH without traversing a temporary binary BVH as done by previous approaches and achieves 1.4 – 1.6 × lower ...
Wilhem Barbier, Mathias Paulin
wiley   +1 more source

Quantum machine learning for predicting anastomotic leak: a clinical study. [PDF]

Sci Rep
Novák V, Zelinka I, Přibylová L, Martínek L, Benčurik V.   +4 more
europepmc   +1 more source

Splatshop: Efficiently Editing Large Gaussian Splat Models

Computer Graphics Forum, EarlyView.
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz, Christoph Peters, Florian Hahlbohm, Elmar Eisemann, Marcus Magnor, Michael Wimmer   +5 more
wiley   +1 more source

Novel structures of chaos-based parallel multiple image encryption and FPGA implementation. [PDF]

Sci Rep
Hoang TM, Anh PQ, Hoang MH, Tran DQ, Assad SE.   +4 more
europepmc   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Mapping pesticide mixtures to cancer risk at the country scale with spatial exposomics. [PDF]

Nat Health
Honles J, Cerapio JP, Monge C, Marchio A, Ruiz E, Fernández R, Casavilca-Zambrano S, Contreras-Mancilla J, Vidaurre T, Condom T, Zerathe S, Dangles O, Deharo É, Herrera-Zuñiga J, Pineau P, Bertani S.   +15 more
europepmc   +1 more source

Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction

Computer Graphics Forum, EarlyView.
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik, Morten Henkel, Yanjiang He, Victor Czech, Tim Elsner, Isaak Lim, Leif Kobbelt   +6 more
wiley   +1 more source