Results 201 to 210 of about 2,291,078 (312)

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

Advanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho, Jeongsu Pyeon, Hanhwi Jang, Gwangsik Mun, Jaimin Kang, Byong‐Guk Park, Geon Yeong Kim, Hyoungsoo Kim, Yeon Sik Jung   +8 more
wiley   +1 more source

Benchmarking uncertainty quantification for protein engineering.

PLoS Computational Biology
Machine learning sequence-function models for proteins could enable significant advances in protein engineering, especially when paired with state-of-the-art methods to select new sequences for property optimization and/or model improvement. Such methods
Kevin P Greenman, Ava P Amini, Kevin K Yang   +2 more
doaj   +1 more source

Balancing Machine with Active Dynamic Vibration Absorbers. Experimental Measurements Using Periodic Learning Control.

, 1996
Takeshi Mizuno, Kazuya Kitajima, Kenji Araki   +2 more
openalex   +2 more sources

Structured, Shaped, or Printed Single‐Atom Catalysts and Their Applications

Advanced Functional Materials, EarlyView.
This paper reviews the design and use of structured single‐atom catalysts, which integrate porous architectures with the exceptional reactivity of isolated catalytic sites. It explores fabrication strategies, advanced characterization methods, and support materials that enhance thermal stability, mechanical robustness, and operational efficiency of ...
Jiachengjun Luo, Hushan Chand, Rafael Luque, Alina M. Balu, Gianvito Vilé   +4 more
wiley   +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

Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation [PDF]

arXiv
This paper explores the integration of active machine learning (ML) for 6G networks, an area that remains under-explored yet holds potential. Unlike passive ML systems, active ML can be made to interact with the network environment. It actively selects informative and representative data points for training, thereby reducing the volume of data needed ...
arxiv  

Integrating Active and Passive Remote Sensing Data for Mapping Soil Salinity Using Machine Learning and Feature Selection Approaches in Arid Regions [PDF]

, 2023
Sayed A. Mohamed, Mohamed M. Metwaly, Mohamed R. Metwalli, Mohamed A. E. AbdelRahman, Nasem Badreldin   +4 more
openalex   +1 more source

Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting

Advanced Functional Materials, EarlyView.
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal, Da Bean Han, Thandapani Marimuthu, Taewaen Lim, Hyun Woo Kim, Junhyeok Seo   +5 more
wiley   +1 more source

Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning

, 2006
T.T. Osugi, Kun Deng, Stephen Scott
openalex   +2 more sources

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis

Advanced Functional Materials, EarlyView.
This study introduces a paper‐based biodegradable, humidity‐insensitive e‐nose for real‐time breath analysis, addressing challenges in existing technologies such as humidity interference, high costs, and environmental impact. Featuring hydrophobic polymer coatings, these sensors reliably detect VOCs even in high‐moisture environments.
Indrajit Mondal, Adan Zoabi, Hossam Haick   +2 more
wiley   +1 more source