Results 81 to 90 of about 157,275 (228)

Vision Transformer With Quadrangle Attention

IEEE Transactions on Pattern Analysis and Machine Intelligence
Window-based attention has become a popular choice in vision transformers due to its superior performance, lower computational complexity, and less memory footprint. However, the design of hand-crafted windows, which is data-agnostic, constrains the flexibility of transformers to adapt to objects of varying sizes, shapes, and orientations.
Qiming Zhang 0001, Jing Zhang 0037, Yufei Xu, Dacheng Tao   +3 more
openaire   +3 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Biomedical image classification using vision transformer [PDF]

E3S Web of Conferences
Particularly in the areas of public health and welfare, biomedical image classification plays a significant role in advancing the Sustainable Development Goals (SDGs).
Tjahyaningtijas Hapsari Peni Agustin, Nashrullah Muhammad Aamir, Puspitaningayu Pradini, Rakhmawati Lusia, Yamasari Yuni, Paragas Jessie R.   +5 more
doaj   +1 more source

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

Enhancing Security: Infused Hybrid Vision Transformer for Signature Verification

IEEE Access
Handwritten signature verification is challenging because there is a huge variation between the orientation thickness and appearance of handwritten signatures.
Muhammad Ishfaq, Ayesha Saadia, Faeiz M. Alserhani, Ammara Gul   +3 more
doaj   +1 more source

Viral Infection‐Inspired Autonomous Detection of Fusion‐Competent Viruses for Screening and Environmental Surveillance

Advanced Materials, EarlyView.
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park, Yidam Song, Hyun‐Woo Choi, Jaeuk Sung, Harin Jin, WonSeok Gwak, Kirim Yoo, Soohwang Lee, Jongeon Park, Jeongmin Kim, Hye‐Jun Jo, Jahyun Koo, Youngdo Jeong, Kwan Hyi Lee, Seung‐Jung Kee, Hojun Kim   +15 more
wiley   +1 more source

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

Journal of Ovarian Research
Objectives The study aimed to compare the diagnostic efficacy of the machine learning models with expert subjective assessment (SA) in assessing the malignancy risk of ovarian tumors using transvaginal ultrasound (TVUS).
Xin He, Xiang-Hui Bai, Hui Chen, Wei-Wei Feng   +3 more
doaj   +1 more source

A Study on Deep Learning Performances of Identifying Images’ Emotion: Comparing Performances of Three Algorithms to Analyze Fashion Items

Applied Sciences
Emotion recognition using AI has garnered significant attention in recent years, particularly in areas such as fashion, where understanding consumer sentiment can drive more personalized and effective marketing strategies.
Gaeun Lee, Seoyun Yi, Jongtae Lee
doaj   +1 more source

Short‐Wavelength Infrared Imaging with Organic Photodetectors Based on Non‐Fullerene Acceptors with Detection above 1200 nm

Advanced Materials, EarlyView.
Solution‐processed organic photodetectors (OPDs) based on two novel low band gap non‐fullerene acceptors BZIC‐2F and BZIC‐2Cl, when blended with common polymer donor P3HT, extend detection range beyond 1200 nm with superior performance, rivaling costly inorganic sensors and past literature.
Zhuoran Qiao, Sandeep Sharma, Yakun He, Marie Houot, Kun‐Han Lin, Davide Nodari, Filip Aniés, Matilde Brunetta, Patipan Sukpoonprom, Eunyoung Hong, Edoardo Angela, Zian Wang, Pichaya Pattanasattayavong, Martyn A. McLachlan, Artem Bakulin, Denis Andrienko, Frédéric Laquai, Martin Heeney, Nicola Gasparini   +18 more
wiley   +1 more source