Results 131 to 140 of about 321,863 (350)

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

Evolutionary programming as a platform for in silico metabolic engineering

BMC Bioinformatics, 2005
Background Through genetic engineering it is possible to introduce targeted genetic changes and hereby engineer the metabolism of microbial cells with the objective to obtain desirable phenotypes.
Förster Jochen, Rocha Isabel, Patil Kiran, Nielsen Jens   +3 more
doaj   +1 more source

Temporal Phylogenetic Networks and Logic Programming

, 2005
The concept of a temporal phylogenetic network is a mathematical model of evolution of a family of natural languages. It takes into account the fact that languages can trade their characteristics with each other when linguistic communities are in contact,
Erdem, Esra, Lifschitz, Vladimir, Ringe, Don   +2 more
core   +1 more source

Practical experience in commissioning ring applicators using ring applicator component type with bravos control software v1.2

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The Bravos v1.2 control software introduces a ring applicator component type (ACT) with channel length verification to address geometric characteristics and dosimetric discrepancies caused by source positioning inaccuracies. This study aims to commission the ring applicator and investigate the new ring ACT in Bravos 1.2.
Xiuxiu He, Michael A. Trager, Gil'ad N. Cohen, Antonio L. Damato, David Aramburu Núñez   +4 more
wiley   +1 more source

AAPM Task Group No. 249.B—Essentials and guidelines for clinical medical physics residency training program

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies.
Jonathon A. Nye, Joseph P. Dugas, William D. Erwin, David P. Gierga, Darryl G. Kaurin, Stephanie M. Leon, Ho‐Ling Anthony Liu, Zheng Feng Lu, Alphonso W. Magri, Lynn N. Rill, Leah K. Schubert, Beth A. Schueler, Irina Vergalasova, John Vetter, Brian D. Wichman, Amy Shu‐Jung Yu, Dandan Zheng   +16 more
wiley   +1 more source

Aprendizaje de estrategias de decisión en juegos repetitivos no cooperativos

Tecnura, 2013
This article presents the design and implementation of different mechanisms applied to evolutionary processes within non-cooperative strategies, especially applied to the iterated prisoner's dilemma (a widely-used reference model in the field of ...
Fabián Andrés Giraldo Giraldo, Jonatan Gómez Perdomo   +1 more
doaj  

The evolutionary design of MCPL, the MSS command and programming language [PDF]

, 2002
Vincent Hayward, Laeeque K. Daneshmend, A. Foisy, M. Boyer, Louis-Philippe Demers, Rini Ravindran, Terence Bu‐Peow Ng   +6 more
openalex   +1 more source

EEG Spectral Exponents and Visual Chirp Responses Mirror Anti‐Seizure Medication Load in Refractory Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Quantitative markers of cortical excitability may help identify responders to anti‐seizure medications (ASMs). We studied the relationship between ASM load and two electroencephalography (EEG) markers of cortical excitability in people with refractory epilepsy. Methods We included individuals with refractory focal epilepsy undergoing
Silvano R. Gefferie, Arthur R. van Nieuw Amerongen, Gerhard H. Visser, Maeike Zijlmans, Else A. Tolner, Mark van de Ruit, Arn M. J. M. van den Maagdenberg, Roland D. Thijs   +7 more
wiley   +1 more source

RoleEP: role based evolutionary programming for cooperative mobile agent applications [PDF]

, 2002
Naoyasu Ubayashi, T. Tamai
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source