Integrating fuzzy logic and neural networks with multi-criteria decision-making for intelligent evaluation of drug compound design attributes. [PDF]
Ahmed W +4 more
europepmc +1 more source
VQ‐Style: Disentangling Style and Content in Motion with Residual Quantized Representations
Abstract Human motion data is inherently rich and complex, containing both semantic content and subtle stylistic features that are challenging to model. We propose a novel method for effective disentanglement of the style and content in human motion data to facilitate style transfer.
Fatemeh Zargarbashi +5 more
wiley +1 more source
Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity. [PDF]
Wang Y, Han Y, Wang S, Guan Z, Chang C.
europepmc +1 more source
Embedding Optimization of Layouts via Distortion Minimization
Abstract Given an embedding of a layout in the surface of a target mesh, we consider the problem of optimizing the embedding geometrically. Layout embeddings partition the surface into multiple disk‐like patches, making them particularly useful for parametrization and remeshing tasks, such as quad‐remeshing, since these problems can then be solved on ...
A. Heuschling, I. Lim, L. Kobbelt
wiley +1 more source
Stochasticity in action potential backpropagation: consequences for neuronal computation. [PDF]
Antic SD, Milicevic KD, Lytton WW.
europepmc +1 more source
Single Line Drawing Generation via Semantics‐Driven Optimization
We present a method for automatically generating single‐line drawings in vector format, guided by a text prompt or an input image. Our approach leverages score distillation sampling to optimize the parameters of a uniform rational B‐spline (URBS) curve, ensuring that the drawing consists of a single continuous stroke by design.
Tanguy Magne +3 more
wiley +1 more source
Generative Data Augmentation for ArUco-Free RGB-Based 6-DoF Object Pose Estimation. [PDF]
Scribano C +7 more
europepmc +1 more source
FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley +1 more source
The evolution of nonlinear mixed effects modeling in pharmacometrics: toward AI-based variational autoencoders. [PDF]
Rohleff J, Koch G, Schropp J.
europepmc +1 more source

