Výsledky vyhľadávania - "binary dragonfly algorithm"

Optimasi Ukuran Penampang pada Struktur Rangka Batang Ruang dengan Binary Dragonfly Algorithm

Autori: Frans, Richard Thioritz, Stevy

Zdroj: Jurnal Manajemen Teknologi dan Teknik Sipil (JURMATEKS); Vol. 6 No. 1 (2023): JUNE; 45-57

Predmety: Optimization, Binary Dragonfly Algorithm, Space Truss Structures, Bamboo

Popis súboru: application/pdf

Prístupová URL adresa: https://ojs.unik-kediri.ac.id/index.php/jurmateks/article/view/4709

An enhanced binary dragonfly algorithm based on a V-shaped transfer function for optimization of pump scheduling program in water supply systems (case study of Iran)

Autori: Jafari-Asl, Jafar Azizyan, Gholamreza Monfared, Seyed Arman Hashemi a ďalší

Predmety: Pump scheduling program, Energy cost, Transfer function, Binary dragonfly algorithm, Water supply system

Relation: http://hdl.handle.net/10773/36749; 105323

Dostupnosť: http://hdl.handle.net/10773/36749
https://doi.org/10.1016/j.engfailanal.2021.105323

A Hybrid Binary Dragonfly Algorithm with an Adaptive Directed Differential Operator for Feature Selection

Autori: Yilin Chen Bo Gao Tao Lu a ďalší

Zdroj: Remote Sensing, Vol 15, Iss 3980, p 3980 (2023)

Predmety: feature selection, binary dragonfly algorithm, differential evolution algorithm, multiobjective optimization, classification, Science

Relation: https://www.mdpi.com/2072-4292/15/16/3980; https://doaj.org/toc/2072-4292; https://doaj.org/article/24d470779ce94dcba380118b19c9d78b

Dostupnosť: https://doi.org/10.3390/rs15163980
https://doaj.org/article/24d470779ce94dcba380118b19c9d78b

Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data

Autori: Pashaei, Elnaz Pashaei, Elham

Prispievatelia: Pashaei, Elnaz Pashaei, Elham

Predmety: Gene selection, Binary black hole algorithm, Binary dragonfly algorithm, Gene expression, Cancer classification

Popis súboru: application/pdf

Relation: Analytical Biochemistry; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11363/5076; 627; 22

Dostupnosť: https://hdl.handle.net/11363/5076

Wavelength Selection for NIR Spectroscopy Based on the Binary Dragonfly Algorithm

Autori: Yuanyuan Chen Zhibin Wang

Zdroj: Molecules, Vol 24, Iss 3, p 421 (2019)

Predmety: wavelength selection, NIR spectroscopy, binary dragonfly algorithm, ensemble learning, quantitative analysis modeling, Organic chemistry, QD241-441

Relation: https://www.mdpi.com/1420-3049/24/3/421; https://doaj.org/toc/1420-3049; https://doaj.org/article/5084a90236834d0f99c67d1dad09f393

Dostupnosť: https://doi.org/10.3390/molecules24030421
https://doaj.org/article/5084a90236834d0f99c67d1dad09f393

Binary dragonfly algorithm for feature selection

Autori: Mafarja, Majdi Jaber, Iyad Eleyan, Derar a ďalší

Predmety: Artificial intelligence, Data mining, Computational intelligence, Machine learning, Selection theorems, Rough sets, Mathematical optimization, Binary dragonfly algorithm, Separation of variables

Relation: http://hdl.handle.net/20.500.11889/5316

Dostupnosť: https://hdl.handle.net/20.500.11889/5316

Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data

Autori: Elnaz Pashaei Elham Pashaei

Zdroj: Analytical Biochemistry. 627:114242

Predmety: Support Vector Machine, Sequence Analysis, RNA, Gene Expression Profiling, COVID-19, 02 engineering and technology, Cancer classification, Microarray Analysis, 3. Good health, Binary black hole algorithm, Neoplasms, Gene selection, 0202 electrical engineering, electronic engineering, information engineering, Humans, Gene expression, Angiotensin-Converting Enzyme 2, Binary dragonfly algorithm, Algorithms

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/33974890
https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1222826
https://pubag.nal.usda.gov/catalog/7368161
https://pubmed.ncbi.nlm.nih.gov/33974890/
https://europepmc.org/article/MED/33974890
https://www.sciencedirect.com/science/article/abs/pii/S0003269721001433
https://www.ncbi.nlm.nih.gov/pubmed/33974890
https://hdl.handle.net/11363/5076

Advances in Near-Infrared Spectroscopy and Related Computational Methods

Autori: Krzysztof B. Beć Christian W. Huck

Zdroj: Molecules

Predmety: corn seed, clinical classifications, calibration transfer, hyperspectral imaging, Chrysanthemum, near infrared, detection, combinations bands, water-mirror approach, DFT calculations, total hydroxycinnamic derivatives, counter propagation artificial neural network, deep convolutional neural network, Vitis vinifera L, melamine, moisture, auxiliary diagnosis, multivariate calibration, pixel-wise, overtones, direct model transferability, object-wise, agriculture, 0303 health sciences, BRAF V600E mutation, combination bands, SCiO, analytical spectroscopy, adulteration, prepared slices, Rubus fructicosus, 3. Good health, Editorial, NIRS, classification, Raman spectroscopy, light, Paris polyphylla var. yunnanensis, Folin–Ciocalteu, wavelength selection, stained, near infrared spectroscopy, water, support vector machine-discriminant analysis, Fourier transform mid-infrared spectroscopy, counterfeit and substandard pharmaceuticals, lumefantrine, PLS, extra virgin olive oil, raisins, 03 medical and health sciences, TreeBagger, antimalarial tablets, PLSR, fluorescent probes, deparaffinized, accelerated aging, Computer Simulation, affine invariance, data fusion, bone cancer, DNA, NIR, MicroNIR™, blackberries, n/a, FTIR, maize kernel, API, ensemble learning, freeze-damaged, ethanol, rapid identification, late preterm, imaging visualization, animal origin, Models, Molecular, 0301 basic medicine, hyperspectral image, multivariate data analysis, isotopic substitution, near-infrared spectroscopy, hyperspectral imaging technology, anharmonic quantum mechanical calculations, principal component analysis, photonics, partial least squares (PLS), handheld near-infrared spectroscopy, spectral imaging, bootstrapping soft shrinkage, chemotherapy, partial least squares calibration, PLS-DA, Trichosanthis Fructus, splanchnic, crude drugs, SIMCA, fructose, Q1-390, fat, partial least squares, Fourier-transform near-infrared spectroscopy, cellular imaging, binary dragonfly algorithm, precision viticulture, glucose, quantum chemical calculation, proximal sensing, Spectroscopy, Near-Infrared, biodiagnosis, carotenoids, Fourier transform infrared spectroscopy, imaging, rice seeds, RMSEP, perfusion measurements, ultra-high performance liquid chromatography, near-infrared fluorescence, FT-NIR spectroscopy, hier-SVM, living cells, origin traceability, quantitative analysis model, spectroscopy, perturbation, SVM, brain, phenolics, artemether, biomeasurements, colorectal cancer, standard germination tests, PLS-R, cheese, phytoextraction, paraffin-embedded, near-infrared hyperspectral imaging, partial least square regression, pocket-sized spectrometer, support vector machine, chemometric techniques, VIS/NIR hyperspectral imaging, test set validation, bioanalytical applications, QD1-999, quantitative analysis modeling, QD71-142, geographical origin, support vector machine model, thema EDItEUR::P Mathematics and Science::PN Chemistry, hyperspectral image processing, di-(2-picolyl)amine, NIR spectroscopy, tissue, chemometrics, discriminant analysis, variety discrimination, pasta/sauce blends, image processing, nutritional parameters, FT-IR, anharmonic calculation, FTIR spectroscopy, osteopathy, Zn(II), non-destructive sensor, near-infrared (NIR) spectroscopy, biomonitoring, dry matter, seeds vitality, Ewing sarcoma, aquaphotomics

Popis súboru: application/octet-stream

Prístupová URL adresa: https://www.mdpi.com/1420-3049/24/23/4370/pdf
https://pubmed.ncbi.nlm.nih.gov/31795360
https://www.mdpi.com/books/pdfview/book/1917
https://directory.doabooks.org/handle/20.500.12854/40321
https://www.mdpi.com/1420-3049/24/23/4370/pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6930588
https://pubmed.ncbi.nlm.nih.gov/31795360/
https://europepmc.org/article/MED/31795360
https://www.mdpi.com/1420-3049/24/23/4370
https://directory.doabooks.org/handle/20.500.12854/40321

Binary dragonfly optimization for feature selection using time-varying transfer functions

Autori: Majdi Mafarja Ibrahim Aljarah Ali Asghar Heidari a ďalší

Predmety: Evolutionary computation, Optimisation, Binary dragonfly algorithm, Classification, Feature selection, Optimization, Transfer functions

Relation: 10779/rmit.27518766.v1

Dostupnosť: https://figshare.com/articles/journal_contribution/Binary_dragonfly_optimization_for_feature_selection_using_time-varying_transfer_functions/27518766