Results 201 to 210 of about 19,665 (309)

Quantification of Ceramsite Granules in Lightweight Concrete Panels through an Image Analysis Technique. [PDF]

open access: yesMaterials (Basel), 2022
Bu C   +8 more
europepmc   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang   +5 more
wiley   +1 more source

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich   +4 more
wiley   +1 more source

A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance

open access: yesComputer Graphics Forum, EarlyView.
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen   +2 more
wiley   +1 more source

A Texture‐Free Multi‐Scale Model for Surface‐Based Rendering of Knitted Fabrics

open access: yesComputer Graphics Forum, EarlyView.
Abstract Knitted fabrics present unique challenges for realistic rendering due to their complicated structure and scale‐dependent appearance. Existing methods typically rely on explicit yarn geometry, which is computationally complex, or texture‐based representations that require heavy storage and precomputed maps. In this paper, we introduce the first
Apoorv Khattar   +3 more
wiley   +1 more source

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