Results 41 to 50 of about 2,383 (113)

Exploring the Effectiveness, Tolerability, and Safety of the Adjunctive Use of Microneedling With Tranexamic Acid in the Treatment of Melasma

Journal of Cosmetic Dermatology, Volume 25, Issue 3, March 2026.
ABSTRACT Background Melasma is a chronic pigment disorder associated with significant psychosocial burden. The gold standard triple combination cream is effective but limited by relapse and adverse effects. Tranexamic acid (TXA) and microneedling have independently shown promise in the treatment of melasma, and their combined use may provide enhanced ...
Sharon Dhaliwal, Navneet Dhanoa, Zaina Rashid   +2 more
wiley   +1 more source

A Two-stage Classification Method for High-dimensional Data and Point Clouds

, 2019
High-dimensional data classification is a fundamental task in machine learning and imaging science. In this paper, we propose a two-stage multiphase semi-supervised classification method for classifying high-dimensional data and unstructured point clouds.
Cai, Xiaohao, Chan, Raymond, Xie, Xiaoyu, Zeng, Tieyong   +3 more
core  

Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization

, 2013
Incorporating spatial information into hyperspectral unmixing procedures has been shown to have positive effects, due to the inherent spatial-spectral duality in hyperspectral scenes.
Chen, Jie, Hero III, Alfred O., Richard, Cédric   +2 more
core   +1 more source

Quantifying the impact of tumor size and motion on 4DCT‐4DCBCT image registration accuracy using machine learning and statistical analysis

Journal of Applied Clinical Medical Physics, Volume 27, Issue 2, February 2026.
Abstract Purpose This study systematically quantifies the effects of five variables—respiratory cycle, tumor size, and motion amplitudes in the superior‐inferior (SI), anterior‐posterior (AP), and left‐right (LR) directions—on the registration accuracy between four‐dimensional computed tomography (4D CT) and four‐dimensional cone‐beam CT (4D CBCT ...
Qiaoyan Jing, Shuyu Lin, Binyun Huang, Tingjun Luo, Xianya Li, Weiming Zhang, Shaohan Sun   +6 more
wiley   +1 more source

An enhanced primal-simplex based tardos' algorithm for linear optimization

, 2018
While the algorithmic complexity is in general worse than the one of Tardos’ original algorithms, the authors, motivated by the practicality of such methods, recently proposed a simplex-based variant that is strongly polynomial if the coefficient matrix ...
S. Mizuno, Noriyoshi Sukegawa, A. Deza
semanticscholar   +1 more source

Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications

Advanced Sensor Research, Volume 5, Issue 2, February 2026.
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo, Karandeep Grover, Elizabeth J. New   +2 more
wiley   +1 more source

The incidence of serious complications after selective laser trabeculoplasty

Acta Ophthalmologica, Volume 104, Issue 1, Page 106-113, February 2026.
Abstract Purpose To evaluate the incidence of serious complications after selective laser trabeculoplasty (SLT). Methods All patients who underwent SLT at the Department of Ophthalmology, Helsinki University Hospital, were eligible for the study from 1 January 2012 to 31 December 2018.
Eeva S. Ojanen, Joni A. Turunen, Mika Harju   +2 more
wiley   +1 more source

Combining Column Generation and Lagrangian Relaxation [PDF]

Although the possibility to combine column generation and Lagrangian relaxation has been known for quite some time, it has only recently been exploited in algorithms. In this paper, we discuss ways of combining these techniques.
Huisman, D., Jans, R.F., Peeters, M., Wagelmans, A.P.M.   +3 more
core   +1 more source

Entropic Learning Enables Skilful Forecasts of ENSO Phase at up to 2 Years Lead Time

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 1, January 2026.
Abstract This paper extends previous work (Groom et al., Artif. Intell. Earth Syst., 2024) in applying the entropy‐optimal Sparse Probabilistic Approximation (eSPA) algorithm to predict ENSO phase, defined by thresholding the Niño3.4 index. Only satellite‐era observational data sets are used for training and validation, while retrospective forecasts ...
Michael Groom, Davide Bassetti, Illia Horenko, Terence J. O'Kane   +3 more
wiley   +1 more source

Aggregate constrained inventory systems with independent multi-product demand: control practices and theoretical limitations [PDF]

, 2010
In practice, inventory managers are often confronted with a need to consider one or more aggregate constraints. These aggregate constraints result from available workspace, workforce, maximum investment or target service level.
Aghezzaf, El-Houssaine, De Schrijver, Steven, Vanmaele, Hendrik   +2 more
core