Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 4, 2023
BACKGROUND AND PURPOSE: Previous studies on automatic delineation quality assurance (QA) have mostly focused on CT-based planning. As MRI-guided radiotherapy is increasingly utilized in prostate cancer treatment, there is a need for more research on ...
Sensors (Basel, Switzerland)
Jun 30, 2023
This paper presents a novel probabilistic machine learning (PML) framework to estimate the Brillouin frequency shift (BFS) from both Brillouin gain and phase spectra of a vector Brillouin optical time-domain analysis (VBOTDA). The PML framework is us...
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 29, 2023
Uncertainty is inherent in machine learning methods, especially those for camouflaged object detection aiming to finely segment the objects concealed in background. The strong enquote center bias of the training dataset leads to models of poor genera...
Journal of general internal medicine
Jun 27, 2023
The recent emergence of publically facing artificial intelligence (AI) chatbots has generated vigorous discussion in the lay public around the possibilities, liabilities, and uncertainties of the integration of such technology into everyday life. As ...
Environmental science and pollution research international
Jun 27, 2023
While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) have been frequently employed in the field of water resources, documents aimed to...
Water research
Jun 24, 2023
Representing reality in a numerical model is complex. Conventionally, hydraulic models of water distribution networks are a tool for replicating water supply system behaviour through simulation by means of approximation of physical equations. A calib...
Neural networks : the official journal of the International Neural Network Society
Jun 21, 2023
This paper concerns with the preassigned-time projective synchronization issue for delayed fully quaternion-valued discontinuous neural networks involving parameter uncertainties through the non-separation method. Above all, based on the existing wor...
Journal of chemical information and modeling
Jun 20, 2023
Characterizing uncertainty in machine learning models has recently gained interest in the context of machine learning reliability, robustness, safety, and active learning. Here, we separate the total uncertainty into contributions from noise in the d...
Sensors (Basel, Switzerland)
Jun 15, 2023
This paper proposes a learning control framework for the robotic manipulator's dynamic tracking task demanding fixed-time convergence and constrained output. In contrast with model-dependent methods, the proposed solution deals with unknown manipulat...
Computer methods in biomechanics and biomedical engineering
Jun 14, 2023
Physiotherapy is a treatment that may be required permanently by many patients. As a result, a robot that can execute physiotherapy exercises for the legs like a professional therapist with adequate performance and acceptable safety may be efficient ...