Results 91 to 100 of about 1,531 (279)

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

Mechanical Intelligence in Bone Regeneration: Bridging Material and Cellular Memory for Enhanced Healing

open access: yesAdvanced Science, EarlyView.
Mechanical intelligence reframes bone regeneration as a time‐dependent coupling between material and cellular memory. Biomaterials store and release mechanical history, while cells retain prior cues and remodel the repair niche. Matching these memories to healing stages may guide stage‐specific scaffolds, sensing‐assisted prediction, mechanical dosing,
Jin Tian   +8 more
wiley   +1 more source

L1-Minimization Algorithm for Bayesian Online Compressed Sensing [PDF]

open access: yesEntropy, 2017
In this work, we propose a Bayesian online reconstruction algorithm for sparse signals based on Compressed Sensing and inspired by L1-regularization schemes. A previous work has introduced a mean-field approximation for the Bayesian online algorithm and has shown that it is possible to saturate the offline performance in the presence of Gaussian ...
Paulo Rossi, Renato Vicente
openaire   +2 more sources

Leading the Pack: Next‐Generation Batteries for Humanoid Robotics

open access: yesAdvanced Science, EarlyView.
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider   +6 more
wiley   +1 more source

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

Clustered Compressive Sensing: Application on Medical Imaging [PDF]

open access: yes, 2014
his paper provides clustered compressive sensing (CCS) based image processing using Bayesian framework applied to medical images. Some images, for example like magnetic resonance images (MRI) are usually very weak due to the presence of noise and due to ...
Tesfamicael, Solomon Abedom   +1 more
core   +1 more source

Robust object tracking algorithm based on sparse eigenbasis

open access: yesIET Computer Vision, 2014
To reduce the computation and to improve the performance of object detection and tracking algorithm with object appearance variation, a tracker based on sparse eigenbasis is proposed. According to the compressive sensing theory, the objects are described
Jing Li, Junzheng Wang
doaj   +1 more source

A Review of Sparse Recovery Algorithms

open access: yesIEEE Access, 2019
Nowadays, a large amount of information has to be transmitted or processed. This implies high-power processing, large memory density, and increased energy consumption.
Elaine Crespo Marques   +4 more
doaj   +1 more source

Device-Free Localization Scheme With Time-Varying Gestures Using Block Compressive Sensing

open access: yesIEEE Access, 2020
In Device-Free Localization (DFL) schemes, most researches assume that the targets are stationary with fixed gestures and motions. However, objects always change their gestures in practice, undoubtedly influencing the localization accuracy.
Yan Guo   +3 more
doaj   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang   +9 more
wiley   +1 more source

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