Results 181 to 190 of about 1,478,961 (356)

Multi‐Pathway Upconversion Emission in Symmetry‐Broken Nanocavities: Broadband Multiresonant Enhancement and Anti‐Correlated Interfacial Sensitivity

Advanced Functional Materials, EarlyView.
Symmetry‐broken plasmonic nanoantenna arrays achieve broadband multiresonant enhancement of second harmonic generation (SHG), third harmonic generation (THG), and upconversion photoluminescence (UCPL), under femtosecond laser excitation across the near‐infrared range (1000–1600 nm).
Elieser Mejia, Yuming Zhao, Meitong Nie, Benjamin Pittelkau, Aditya Garg, Junyeob Song, Wenqi Zhu, Henri Lezec, Amit Agrawal, Wei Zhou   +9 more
wiley   +1 more source

Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification [PDF]

arXiv
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various environments. A more practical approach should involve cross-modality matching across different sensors.
arxiv  

Modalities in breast cancer detection: Xeroradiography, mammography, thermography, and mammometry [PDF]

, 1969
J. Gershon‐Cohen, M. B. Hermel
openalex   +1 more source

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

Advanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly, Vasileios Sergis, Laura Ventura i Blanco, Karl Mason, Andrew C. Daly   +4 more
wiley   +1 more source

Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding [PDF]

arXiv
Multi-modal fusion has played a vital role in multi-modal scene understanding. Most existing methods focus on cross-modal fusion involving two modalities, often overlooking more complex multi-modal fusion, which is essential for real-world applications like autonomous driving, where visible, depth, event, LiDAR, etc., are used.
arxiv  

A note on the regular and irregular modal systems of Lewis. [PDF]

, 1962
Bolesław Sobociński
openalex   +1 more source

Self‐Poled Halide Perovskite Ruddlesden‐Popper Ferroelectric‐Photovoltaic Semiconductor Thin Films and Their Energy Harvesting Properties

Advanced Functional Materials, EarlyView.
Low‐dimensional halide perovskite thin films, (BA)2(MA)n‐1PbnBr3n+1 (n = 1, 2), exhibit both semiconducting and ferroelectric properties, enabling mechanical and light energy harvesting. Using Cr/Cr₂O₃ or PCBM as barrier layers ensures reproducible ferroelectricity.
Raja Sekhar Muddam, Shaoyang Wang, Nirmal Prashanth Maria Joseph Raj, Qingping Wang, Philip Wijesinghe, Julia Payne, Matthew S. Dyer, Chris Bowen, Lethy Krishnan Jagadamma   +8 more
wiley   +1 more source

Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation [PDF]

arXiv
Vision-language retrieval aims to search for similar instances in one modality based on queries from another modality. The primary objective is to learn cross-modal matching representations in a latent common space. Actually, the assumption underlying cross-modal matching is modal balance, where each modality contains sufficient information to ...
arxiv  

Cross-modality matching of brightness and loudness.

, 1965
Julie Stevens, Lawrence E. Marks
openalex   +1 more source

Cross-modal estimation of angular velocity [PDF]

, 1968
James H. Brown
openalex   +1 more source