Results 31 to 40 of about 82,122 (260)
Image Classification Using Low-Rank Regularized Extreme Learning Machine
IEEE Access, 2019 Extreme learning machine (ELM), a least-square-based learning algorithm, is a competitive machine learning method and provides efficient unified learning solutions for the applications of classification and regression.
Qin Li +4 more
doaj +1 more source
Machine Training of the System of Functional Diagnostics of the Shaft Lifting Machine [PDF]
Problems of the Regional Energetics, 2019 The aim of the work is to increase the accuracy of functional diagnostics of a mine hoist by us-ing the method of information-extreme machine teaching with a hierarchical data structure. The tasks set forth in the work were to develop a categorical model;
Dovbysh A. S. +3 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Information-extremе machine learning for object identification on the terrain [PDF]
Журнал інженерних наук, 2016 The article deals with the usage of a SURF local descriptor of key fragments to create a global descriptor BoF for objects of interest on terrain within task of recognition of armored technique in the controlled territory using images of air ...
V. V. Moskalenko, A. H. Korobov
doaj
Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2018 The conclusions about the strata of society, various parties are supported by, have been made. The method of information-extreme machine learning of the system of functional diagnosis of the technical state of a complex machine with the optimization of ...
Anatoly Stepanovich Dovbysh +2 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Wood Defect Detection Based on Depth Extreme Learning Machine
Applied Sciences, 2020 The deep learning feature extraction method and extreme learning machine (ELM) classification method are combined to establish a depth extreme learning machine model for wood image defect detection.
Yutu Yang +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source
Extraction of Alteration Information from Hyperspectral Data Base on Kernel Extreme Learning Machine
Remote SensingMachine learning, as an increasingly prominent method in recent years, has introduced new methodologies and perspectives for extracting geological alteration information.
Shuhan Yang, Shufang Tian
doaj +1 more source
Human motion recognition based on limit learning machine
International Journal of Advanced Robotic Systems, 2020 With the development of technology, human motion capture data have been widely used in the fields of human–computer interaction, interactive entertainment, education, and medical treatment.
Hong Chen +5 more
doaj +1 more source