Results 221 to 230 of about 2,291,078 (312)

Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting [PDF]

open access: gold, 2023
Boyu Huang   +6 more
openalex   +1 more source

Flow‐Induced Vascular Remodeling on‐Chip: Implications for Anti‐VEGF Therapy

open access: yesAdvanced Functional Materials, EarlyView.
Flow‐induced vascular remodeling plays a critical role in network stabilization and function. Using a vasculature‐on‐chip system, this study reveals how physiological VEGF levels and flow affect vascular remodeling and provides insights into tumor vessel normalization.
Fatemeh Mirzapour‐Shafiyi   +6 more
wiley   +1 more source

Active learning for interactive machine translation

open access: yes, 2012
Translation needs have greatly increased during the last years. In many situations, text to be translated constitutes an unbounded stream of data that grows continually with time. An effective approach to translate text documents is to follow an interactive-predictive paradigm in which both the system is guided by the user and the user is assisted by ...
González Rubio, Jesús   +2 more
openaire   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

open access: yesAdvanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao   +5 more
wiley   +1 more source

High‐Performance Millimeter Scale Electromagnetic Generator

open access: yesAdvanced Functional Materials, EarlyView.
A high‐performance millimeter‐scale electromagnetic generator (mmEMG) is developed using magnetic flux concentrator (MFC) films on both coil ends to enhance magnetic flux. Through simulations and experiments, structural and magnetic properties are optimized, achieving a 5.6‐fold electrical output improvement.
Jin Pyo Lee   +5 more
wiley   +1 more source

Quantitative assessment of machine-learning segmentation of battery electrode materials for active material quantification

open access: hybrid, 2022
Josh J. Bailey   +5 more
openalex   +1 more source

Recent progress of machine learning in flow modeling and active flow control

open access: yesChinese Journal of Aeronautics, 2021
Yunfei Li   +3 more
semanticscholar   +1 more source

Transmembrane Activation of Catalysis and Protein Refolding in Synthetic Cells by Enzymes and Nanozymes

open access: yesAdvanced Functional Materials, EarlyView.
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen   +5 more
wiley   +1 more source

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