Results 81 to 90 of about 1,190,682 (254)
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
A lightweight multimodal image fusion and enhancement method for smoke scenes
Multimodal fusion under smoke conditions faces the challenge of being unable to obtain clear fused images. Traditional fusion methods assume clear imaging conditions and fail to address nonlinear degradation.
Jie Ma +3 more
doaj +1 more source
Undermining Trust in Multimodal Computer Vision Models: Realistic Adversarial Patches
Adversarial patches have emerged as a serious threat to aerial-based deep learning systems, with multimodal models being discussed as a potential solution. Existing research optimizes patches for aerial sensory in the multimodal space but is based on the
Max Wiedemann +2 more
doaj +1 more source
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source
Comparison of fusion methods for thermo-visual surveillance tracking [PDF]
In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combine information from standard CCTV and thermal infrared spectrum video for the tracking of surveillance objects, such as people, faces, bicycles and ...
Ó Conaire, Ciarán +8 more
core +2 more sources
The use of multimodal data for semantic segmentation in remote sensing has attracted considerable interest, as it enables the integration of complementary information from various sensors. However, conventional multimodal fusion methods primarily operate
Chao Li +4 more
doaj +1 more source
Photo‐Degradable Polyester Networks and Multi‐Photon Printed Objects Based on Cyclic Ketene Acetals
The current work introduces a photoreversible polyester network derived from radical ring‐opening polymerization of cyclic ketene acetals. It combines photoreversible cross‐linking with initiator‐free multi‐photon printing. Reversible network formation, tunable mechanical properties, and selective degradation highlight its potential as a versatile ...
Till Meissner +5 more
wiley +1 more source
Multimodal Biometric Fusion: Performance under Spoof Attacks
Biometrics is essentially a pattern recognition system that recognizes an individual using their unique anatomical or behavioral patterns such as face, fingerprint, iris, signature etc.
Akhtar Zahid +2 more
doaj +1 more source
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
Design of Intense Neutron Source for Fusion Material Study and the Role of Universities [PDF]
Need and requirement for the intense neutron source for fusion materials study have been discussed for many years. Recently, international climate has been becoming gradually maturing to consider this problem more seriously because of the recognition of ...
ISHINO, Shiori
core

