Results 11 to 20 of about 1,171,833 (351)
Machine Learning: Algorithms, Real-World Applications and Research Directions
SN Computer Science, 2021 In the current age of the Fourth Industrial Revolution (4IR or Industry 4.0), the digital world has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data, business data, social media data, health data, etc.
Iqbal H. Sarker
semanticscholar +1 more source
An Unsupervised Machine Learning Algorithms: Comprehensive Review
International Journal of Computing and Digital Systems, 2023 : Machine learning (ML) is a data-driven strategy in which computers learn from data without human intervention. The outstanding ML applications are used in a variety of areas.
Samreen Naeem +3 more
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Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2023 Unsupervised machine learning using an unsupervised vector quantization neural network (UVQ-NN) integrated with meta-geometrical attributes as a novel computation process as opposed to traditional methodologies is currently used effectively in the 3D ...
A. Ismail +4 more
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Control Synthesis as Machine Learning Control by Symbolic Regression Methods
Applied Sciences, 2021 The problem of control synthesis is considered as machine learning control. The paper proposes a mathematical formulation of machine learning control, discusses approaches of supervised and unsupervised learning by symbolic regression methods.
Elizaveta Shmalko, Askhat Diveev
doaj +1 more source
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans
Thorax, 2023 Background Treatment and preventative advances for chronic obstructive pulmonary disease (COPD) have been slow due, in part, to limited subphenotypes.
E. Angelini +40 more
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Unsupervised machine learning discovers classes in aluminium alloys
Royal Society Open Science, 2023 Aluminium (Al) alloys are critical to many applications. Although Al alloys have been commercially widespread for over a century, their development has predominantly taken a trial-and-error approach. Furthermore, many discrete studies regarding Al alloys,
N. Bhat, A. S. Barnard, N. Birbilis
semanticscholar +1 more source
Definition of the microbial rare biosphere through unsupervised machine learning. [PDF]
Commun BiolPascoal F +4 more
europepmc +3 more sources
Forbes Tıp Dergisi, 2023 Objective: Due to the difficulties in determining reference intervals with conventional methods, it determines them using modern machine learning methods. Methods: The results of the newborns' inorganic phosphorus, calcium, creatinine, neonatal bilirubin,
Oktay YILDIRIM +8 more
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Unsupervised Machine Learning to Identify Patient Clusters and Tailor Perioperative Care in Colorectal Surgery. [PDF]
Diagnostics (Basel)Deslarzes P +4 more
europepmc +3 more sources
JAMA Network Open, 2023 Key Points Question Can unsupervised machine learning identify older adults with advanced cancer who are at high risk of adverse outcomes based on patient-reported symptoms prior to cancer treatments?
Huiwen Xu +12 more
semanticscholar +1 more source