Results 141 to 150 of about 4,900,567 (209)
Robot‐Assisted Measurement of the Critical Micelle Concentration
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
Optimal FOPID controller design for an AVR system using a Chaotic-Enhanced Phototropic Growth Algorithm (C-PGA). [PDF]
Wen P, Liang X, Dai F, Wang S.
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
An accelerated framework for high-resolution X-ray holographic reconstruction. [PDF]
Hu J +5 more
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
An Integrated Approach to Nuclear Risk Governance in Decommissioning with a Major Focus on Stakeholder Risk Philosophies. [PDF]
Njogu S, Mabon L, Neighbour G.
europepmc +1 more source
An electromagnetic manipulation system enhances magnetic field strength in the Z‐direction for 3D control of microrobots and nanoparticles. Featuring eight metal‐core coils and two air‐core coils arranged hemispherically, it ensures unimpeded workspace access and integrates imaging tools.
Nader Latifi Gharamaleki +4 more
wiley +1 more source
A multi-source physiological data-driven method for assessing the hazard perception level of operators. [PDF]
Qi A +8 more
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
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
Large language models as cognitive shortcuts: a systems-theoretic reframing beyond bullshit. [PDF]
Sariyar M.
europepmc +1 more source

