Results 251 to 260 of about 790,581 (296)

Robot‐Assisted Measurement of the Critical Micelle Concentration

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio   +3 more
wiley   +1 more source

The effect of downstream translocation on Atlantic salmon Salmo salar smolt outmigration success. [PDF]

open access: yesJ Fish Biol
Forrester R   +10 more
europepmc   +1 more source

Machine Learning‐Based Wind Classification by Wing Deformation in Biomimetic Flapping Robots: Biomimetic Flexible Structures Improve Wind Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
Strain gauges are attached to biomimetic flapping wings to investigate how wing strain sensors detect wind directions. A convolutional neural network model for wind direction classification is developed through experiments. The results reveal that wind classification is possible with strain data of only 0.2 flapping cycles, and the use of biomimetic ...
Kenta Kubota, Hiroto Tanaka
wiley   +1 more source

Morphy: A Compliant and Morphologically Aware Flying Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents Morphy, a 25.2 cm‐wide, 260 g aerial robot with flexible, sensorized joints that enable it to withstand high‐speed collisions and squeeze through narrow spaces. Powered by an adaptive control scheme exploiting real‐time morphology feedback, Morphy demonstrates resilience in trajectory tracking, collision, and impact recovery and ...
Paolo De Petris   +2 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park   +8 more
wiley   +1 more source

A robust strategy for overexpression of DNA polymerase from Thermus aquaticus using an IPTG-independent autoinduction system in a benchtop bioreactor. [PDF]

open access: yesSci Rep
Laksmi FA   +11 more
europepmc   +1 more source

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