Results 101 to 110 of about 96,008 (322)

Quantum Machine Learning: Towards Hybrid Quantum-Classical Vision Models

open access: yesMathematics
The emergence of deep vision models such as convolutional neural networks and vision transformers has revolutionized computer vision, enabling significant advancements in image classification, object detection, and segmentation.
Syed Muhammad Abuzar Rizvi   +4 more
doaj   +1 more source

Light‐Induced Entropy for Secure Vision

open access: yesAdvanced 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   +9 more
wiley   +1 more source

Utilizing Vision Transformers for Predicting Early Response of Brain Metastasis to Magnetic Resonance Imaging-Guided Stage Gamma Knife Radiosurgery Treatment

open access: yesTomography
Background/Objectives: This study explores the application of vision transformers to predict early responses to stereotactic radiosurgery in patients with brain metastases using minimally pre-processed magnetic resonance imaging scans.
Simona Ruxandra Volovăț   +9 more
doaj   +1 more source

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

open access: yesAdvanced 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   +15 more
wiley   +1 more source

IMViT: Adjacency Matrix-Based Lightweight Plain Vision Transformer

open access: yesIEEE Access
Transformers are becoming dominant deep learning backbones for both computer vision and natural language processing. While extensive experiments prove its outstanding ability for large models, transformers with small sizes are not comparable with ...
Qihao Chen   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +18 more
wiley   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

open access: yesAdvanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang   +5 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Explainable Vision Transformers for Vein Biometric Recognition

open access: yesIEEE Access
In the field of deep learning, understanding the rationale behind an automatic system’s decisions is essential for building users’ trust and ensuring accountability. In this regard, explainable artificial intelligence (XAI) recently emerged
Rocco Albano   +3 more
doaj   +1 more source

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