Machine Learning: Science and Technology
Overview
Machine Learning: Science and Technology is a scientific journal, published since 2020 in English. The journal's country of origin is United Kingdom.
Details
Details
Abbr.
Mach Learn Sci Technol
Start
2020
End
Continuing
Frequency
Quarterly
e-ISSN
2632-2153
Country
United Kingdom
Language
English
Metrics
Metrics
h-index / Ranks: 10268
31
SJR / Ranks: 1945
1506
CiteScore / Ranks: 2824
7.10
Recent Articles
1.
Yan S, Maniscalco A, Wang B, Nguyen D, Jiang S, Shen C
Mach Learn Sci Technol
. 2024 Oct;
5(4):045013.
PMID: 39399396
In online adaptive radiotherapy (ART), quick computation-based secondary dose verification is crucial for ensuring the quality of ART plans while the patient is positioned on the treatment couch. However, traditional...
2.
McKelvy J, Novikova I, Mikhailov E, Maldonado M, Fan I, Li Y, et al.
Mach Learn Sci Technol
. 2024 Jun;
4(4).
PMID: 38915391
Vector atomic magnetometers that incorporate electromagnetically induced transparency (EIT) allow for precision measurements of magnetic fields that are sensitive to the directionality of the observed field by virtue of fundamental...
3.
Srikanth A, Trigila C, Roncali E
Mach Learn Sci Technol
. 2024 Jun;
5(2):027001.
PMID: 38881563
The demand for specialized hardware to train AI models has increased in tandem with the increase in the model complexity over the recent years. Graphics processing unit (GPU) is one...
4.
Khaledyan D, Marini T, OConnell A, Meng S, Kan J, Brennan G, et al.
Mach Learn Sci Technol
. 2024 Mar;
5(1):015042.
PMID: 38464559
Limited access to breast cancer diagnosis globally leads to delayed treatment. Ultrasound, an effective yet underutilized method, requires specialized training for sonographers, which hinders its widespread use. Volume sweep imaging...
5.
Wunderlich A, Sklar J
Mach Learn Sci Technol
. 2023 Sep;
4(3).
PMID: 37693073
Random noise arising from physical processes is an inherent characteristic of measurements and a limiting factor for most signal processing and data analysis tasks. Given the recent interest in generative...
6.
Bajaj C, McLennan L, Andeen T, Roy A
Mach Learn Sci Technol
. 2023 Sep;
4(1):015013.
PMID: 37680302
Physics-informed neural networks (PINNs) have been shown to be effective in solving partial differential equations by capturing the physics induced constraints as a part of the training loss function. This...
7.
Guo S, Fritsch A, Greenberg C, Spielman I, Zwolak J
Mach Learn Sci Technol
. 2023 Feb;
2(3).
PMID: 36733297
Most data in cold-atom experiments comes from images, the analysis of which is limited by our preconceptions of the patterns that could be present in the data. We focus on...
8.
Baek J, OConnell A, Parker K
Mach Learn Sci Technol
. 2023 Jan;
3(4):045013.
PMID: 36698865
The improved diagnostic accuracy of ultrasound breast examinations remains an important goal. In this study, we propose a biophysical feature-based machine learning method for breast cancer detection to improve the...
9.
Cong W, Xi Y, De Man B, Wang G
Mach Learn Sci Technol
. 2022 Nov;
2(2).
PMID: 36406260
X-ray computed tomography (CT) is a nondestructive imaging technique to reconstruct cross-sectional images of an object using x-ray measurements taken from different view angles for medical diagnosis, therapeutic planning, security...
10.
Sadeghnejad-Barkousaraie A, Bohara G, Jiang S, Nguyen D
Mach Learn Sci Technol
. 2022 Aug;
2(3).
PMID: 35967990
Current beam orientation optimization algorithms for radiotherapy, such as column generation (CG), are typically heuristic or greedy in nature because of the size of the combinatorial problem, which leads to...