Results 141 to 150 of about 6,435 (185)
, 2010 Đề tài được nghiên cứu trên phân động vật và người, thịt, môi trường ở 16 lò mổ và 19 chợ bán lẻ tại 4 tỉnh và 1 thành phố. Có sự lưu hành của Salmonella trên phân và thịt heo, bò, gà, vịt, môi trường giết mổ và phân tiêu chảy ở người tại một số tỉnh ...
Lý Thị Liên Khai +1 more
core
PBR‐Inspired Controllable Diffusion for Image Generation
Computer Graphics Forum, EarlyView.Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +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 +6 more
wiley +1 more source
MultiCOIN: Multi‐Modal COntrollable INbetweening
Computer Graphics Forum, EarlyView.Abstract Video inbetweening creates smooth transitions between two frames making it an indispensable tool for video editing and longform video synthesis. Existing methods struggle with large or complex motion and offer limited control over intermediate frames, often misaligning with user intent.
M. Tanveer +6 more
wiley +1 more source
MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds
Computer Graphics Forum, EarlyView.Abstract We introduce stylized phase manifolds—a compact, interpretable latent representation that disentangles motion content (e.g. “jumping”, “walking”), the temporal structure (e.g. motion cycle frequency, gait timing), and style (i.e. how the motion is performed). Learned in an unsupervised manner and inherently low‐dimensional, the manifold offers
Jingyuan Li +3 more
wiley +1 more source
Recent Trends in Inverse Rendering
Computer Graphics Forum, EarlyView.This survey reviews 84 papers published between 2020 and 2025 on inverse rendering methods, introducing a taxonomy based on input data, scene representations, optimization strategies, and evaluation methods. We analyze emerging trends in neural, differentiable, and Gaussian‐splatting approaches, discuss applications, and identify key challenges and ...
S. Ullah, F. Pellacini, A. Giachetti
wiley +1 more source
Cytopathology, EarlyView.This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley +1 more source
Diabetic Medicine, EarlyView.Abstract Aims Managing diabetes during exercise remains challenging, particularly in settings of sustained physical activity such as diabetes‐camps. This study aimed to evaluate the efficacy and safety of a diabetes‐camp protocol including an adaptive algorithm for prandial bolus reduction and the use of automated insulin delivery (AID) exercise modes ...
Alzbeta Santova +12 more
wiley +1 more source
European Journal of Haematology, EarlyView.ABSTRACT Eosinophilia, defined as an absolute eosinophil count (AEC) of ≥ 0.5 × 109/L, is a frequently encountered finding with a vast spectrum of potential underlying etiologies. Hypereosinophilia (HE) is defined as AEC > 1.5 × 109/L and may become life‐threatening when eosinophil‐induced organ damage occurs, defining the hypereosinophilic syndrome ...
Stijn Wigerinck, Peter Vandenberghe
wiley +1 more source
Comparing deep learning models for butterfly and moth (Lepidoptera) species identification
Insect Conservation and Diversity, EarlyView.Deep learning models open new possibilities for the processing of image‐based species records. We used high‐performance computing to compare 40 models for butterfly and moth species identification based on a citizen science dataset with over 500,000 images of 162 species.
Friederike Barkmann +2 more
wiley +1 more source