Results 61 to 70 of about 1,140,426 (309)

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Evaluating the Packing Process in Food Industry Using Fuzzy X and S Control Charts [PDF]

International Journal of Computational Intelligence Systems, 2011
The fuzzy set theory addresses the development of concepts and techniques for dealing with uncertainty or impression conditions. If the collected data from a process include vagueness due to human subjectively or measurement system, fuzzy control charts ...
Nihal Erginel, Sevil Senturk, Cengiz Kahraman, Ihsan Kaya   +3 more
doaj   +1 more source

Remote Fuzzy Logic Control System for a DC Motor Speed Control [PDF]

, 2002
This paper will discuss about DC motor speed control based on fuzzy logic control system implemented on Linux operating system. This fuzzy logic control system can be designed and controlled from remote area i.e.
Thiang, T. (Thiang), Wijaya, A. H. (Andru)   +1 more
core  

A new approach to adaptive fuzzy control: the controller output error method [PDF]

, 2002
The controller output error method (COEM) is introduced and applied to the design of adaptive fuzzy control systems. The method employs a gradient descent algorithm to minimize a cost function which is based on the error at the controller output.
Andersen, HC, Lotfi, A, Tsoi, AC
core   +1 more source

Impact of enhanced leaf model on dose calculation accuracy in single‐isocenter multitarget stereotactic radiosurgery treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Single‐isocenter multitarget (SIMT) radiosurgery has become increasingly popular as advancement in planning and delivery systems have made this approach clinically viable. With targets varying in size and distance from isocenter, SIMT plans are highly complex with dynamic multileaf collimator (MLC) motion.
Hem Moktan, Hongyu Jiang, H. Harold Li, Kenny Guida   +3 more
wiley   +1 more source

Intelligent Adaptive Motion Control for Ground Wheeled Vehicles [PDF]

, 2014
In this paper a new intelligent adaptive control is applied to solve a problem of motion control of ground vehicles with two independent wheels actuated by a differential drive.
MELLUSO, Maurizio
core  

A systematic review of electron FLASH dosimetry and beam control mechanisms utilized with modified non‐clinical LINACs

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background FLASH has been shown to spare normal tissue toxicity while maintaining tumor control. However, existing irradiation platforms and dosimetry are not compatible. Consequently, an abundance of FLASH delivery devices and new dosimetry across all modalities has been created.
Justin DeFrancisco, Siyong Kim
wiley   +1 more source

Evaluating artifact‐free four‐dimensional computer tomography with 16 cm detector array

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To evaluate a 16 cm‐array axial four‐dimensional computer tomography (4DCT) in comparison with a 4 cm‐array 4DCT in the presence of respiration irregularity. Method Ten traces of lung tumor motion from CyberKnife treatments were imported to move the lung cylinder, containing a spherical target, of a phantom.
Inhwan Yeo, Wei Nie, Jiajin Fan, Mindy Joo, Michael Correa, Qianyi Xu   +5 more
wiley   +1 more source

Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control

Advanced Engineering Materials, EarlyView.
This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann, Paul‐Felix Hagen, Simon Albers, Robin Rofallski, Sven Schwabe, Mohammed Dagher, Marco Lukas, Sebastian Leineweber, Benjamin Klie, Patrick Schneider, Hagen Bossemeyer, Lennart Hinz, Markus Kästner, Birger Reitz, Eduard Reithmeier, Thomas Luhmann, Hainer Wackerbarth, Ludger Overmeyer, Ulrich Giese   +18 more
wiley   +1 more source

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

Advanced Engineering Materials, EarlyView.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani, Gorkem Anil Al, Nael Berri, Bernardo Castro‐Dominguez, Hannah S. Leese, Uriel Martinez‐Hernandez   +5 more
wiley   +1 more source