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Advancements in Machine Learning for Microrobotics in Biomedicine

open access: yesAdvanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi   +6 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

Bias‐Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source

open access: yesAdvanced Intelligent Systems, EarlyView.
Random telegraph noise (RTN) characteristics of memristor depend on external environmental conditions. To avoid these bias‐dependent characteristics, a true random number generator circuit using the RTN current fluctuations of memristor is presented with an edge detection circuit and counter, and bias independence is experimentally demonstrated for ...
Jinwoo Park, Hyunjoong Kim, Hyungjin Kim
wiley   +1 more source

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