Results 151 to 160 of about 43,627 (311)

Detecting changes between a DSM and a high resolution SAR image with the support of simulation based separation of urban scenes [PDF]

open access: yes, 2012
As a SAR image is often the only available data in crisis situations, e.g. after an earthquake, a change analysis of the SAR image with previously acquired data may enable a fast analysis of the damage caused by the disas-ter.
Reinartz, Peter   +2 more
core  

Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys

open access: yesAdvanced Science, EarlyView.
ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu   +8 more
wiley   +1 more source

Soft, Multi‐Wavelength Photoplethysmography Enables Reliable Neonatal Blood Pressure Monitoring Via Error Stratification

open access: yesAdvanced Science, EarlyView.
A soft hybrid multi‐wavelength PPG wearable acquires neonatal signals. Synchronized PPG and invasive ABP data are segmented into fixed windows. A 1D‐EfficientNet model predicts segment‐level SBP and DBP. Model performance is examined with retrospective subgroup analysis across acquisition conditions.
Wenqi Shi   +12 more
wiley   +1 more source

Application of Convolutional Neural Networks for Parallel Multi-Scale Feature Extraction in Noise Image Denoising

open access: yesIEEE Access
Although deep learning techniques have made significant advances in the field of images, existing methods still face challenges in processing complex, noisy images.
Yiming Li, Tao Xie, Dongdong Mei
doaj   +1 more source

Planelets: A New Analysis Tool For Planar Feature Extraction [PDF]

open access: yes, 2004
Locally planar structures, formed by sweeping edges of objects, are commonly found in video sequences and convey most of the useful information. In this paper, the issue of efficient representation of such structures is addressed.
Yao, Zhen   +5 more
core  

Deep‐Learning‐Driven High‐Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon‐Limited Conditions

open access: yesAdvanced Science, EarlyView.
Highly overlapping fluorescent signals become distinguishable in photon‐limited living organisms via advanced imaging with intelligent reconstruction. The resulting in vivo hyperspectral imaging capability reveals nanoplastic uptake and circulation in live zebrafish, providing a new approach for studying complex biological and environmental processes ...
Renjian Li   +11 more
wiley   +1 more source

Burst image denoising [PDF]

open access: yes, 2019
Modern smartphone images go through very heavy image processing before they are, for example stored, transmitted or presented on the screen. Image denoising, a process of removing noise, is one of the very first steps in smartphone image processing ...
Tanskanen, Olli
core  

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

Terahertz image denoising via multiscale hybrid‐convolution residual network

open access: yesCAAI Transactions on Intelligence Technology
Terahertz imaging technology has great potential applications in areas, such as remote sensing, navigation, security checks, and so on. However, terahertz images usually have the problems of heavy noises and low resolution.
Heng Wu   +4 more
doaj   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

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