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Physics Letters B, 2020 We use machine learning techniques to solve the nuclear two-body bound state problem, the deuteron. We use a minimal one-layer, feed-forward neural network to represent the deuteron S- and D-state wavefunction in momentum space, and solve the problem variationally using ready-made machine learning tools.
J.W.T. Keeble, A. Rios
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Machine learning in bioinformatics [PDF]
Briefings in Bioinformatics, 2006 This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochastic heuristics for optimization.
Larrañaga Múgica, Pedro María +10 more
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Energies, 2021 Selection of the most suitable drill bit type is an important task for drillers when planning for new oil and gas wells. With the advancement of intelligent predictive models, the automated selection of drill bit type is possible using earlier drilled ...
Saurabh Tewari +2 more
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Teleconnection Patterns of Different El Niño Types Revealed by Climate Network Curvature
Geophysical Research Letters, 2022 The diversity of El Niño events is commonly described by two distinct flavors, the Eastern Pacific (EP) and Central Pacific (CP) type. While the remote impacts, that is, teleconnections, of EP and CP events have been studied for different regions ...
Felix M. Strnad +3 more
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Multinational License Plate Recognition Using Generalized Character Sequence Detection
IEEE Access, 2020 Automatic license plate recognition (ALPR) is generally considered a solved problem in the computer vision community. However, most of the current works on ALPR are designed to work on license plates (LP) from specific countries and use country-specific ...
Chris Henry +2 more
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Pharmaceutics, 2023 One of challenges that faces diabetes is the wound healing process. The delayed diabetic wound healing is caused by a complicated molecular mechanism involving numerous physiological variables.
Hala Zuhayri +6 more
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Synthetic learning machines [PDF]
BioData Mining, 2014 Using a collection of different terminal nodesize constructed random forests, each generating a synthetic feature, a synthetic random forest is defined as a kind of hyperforest, calculated using the new input synthetic features, along with the original features.Using a large collection of regression and multiclass datasets we show that synthetic random
Hemant Ishwaran, James D. Malley
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IEEE Access, 2020 Colorectal cancer has become one of the most common cause of cancer mortality worldwide, with a five-year survival rate of over 50%. Additionally, the potential of some common polyp types to progress to colorectal cancer is considered high.
Ngoc-Quang Nguyen +2 more
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Pharmaceutics, 2022 The effect of low-dose photodynamic therapy on in vivo wound healing with topical application of 5-aminolevulinic acid and methylene blue was investigated using an animal model for two laser radiation doses (1 and 4 J/cm2).
Hala Zuhayri +6 more
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The scientific evaluation of music content analysis systems: Valid empirical foundations for future real-world impact [PDF]
, 2016 We discuss the problem of music content analysis within the formal framework of experimental ...
Grossmann, H +4 more
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