## What is/are Three Classical?

Three Classical - Furthermore, three classical thermodynamic models (modified Apelblat model, λh model and NRTL model) were used to correlate these determined solubility data, and modified Apelblat model shows the minor deviation than other models.^{[1]}To test the feasibility of proposed methods, three classical fluid mechanic problems are studied: the flow through circular pipe, parallel plates and annulus, by modifying the constitutive equations into their fractional equivalent.

^{[2]}Face recognition research in unconstrained environments has focused mainly on the three classical causes of variation, i.

^{[3]}Background: Myeloproliferative neoplasms (MPNs) include three classical subtypes: polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF).

^{[4]}This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios.

^{[5]}Compared with three classical content caching methods and two reinforcement learning algorithms, simulation results show the superiority of our proposed method in reducing the content request delay and improving the cache hit rate.

^{[6]}Three classical concepts have been proposed to explain the lineage specification mechanism of the preimplantation embryo: inside-outside, pre-patterning, and polarity models.

^{[7]}Besides, three classical pairwise similarities are incorporated with a gene selection and enhancement strategy to further improve the effectiveness of SSRE.

^{[8]}In addition, three classical models (Latini model, Sastri model, Liu model) were used to represent the present experimental data and the results show that Liu model with re-fitted parameters performs better in the prediction of the thermal conductivity of FAMEs, with regard to accuracy.

^{[9]}When compared with the other three classical networks (i.

^{[10]}Considering the increasing number of landslides due to permafrost degradation, this paper reports a performance evaluation of three classical landslide susceptibility models applied to cold regions.

^{[11]}This chapter focuses on properties of three classical natural plant biostimulants namely smoke-water, seaweed extracts, and vermicompost leachates.

^{[12]}For the inverse problem, three classical test cases for two-phase modeling are investigated: (i) drop in a shear flow, (ii) oscillating drop and (iii) rising bubble.

^{[13]}Beta ensembles on the real line with three classical weights (Gaussian, Laguerre and Jacobi) are now realized as the eigenvalues of certain tridiagonal random matrices.

^{[14]}Extensive experiments on three classical benchmark datasets and MS-COCO demonstrate that the proposed method significantly outperforms the state-of-the-art in terms of per-label and per-image metrics.

^{[15]}Of the three classically described variants of levodopa-induced dyskinesia, biphasic dyskinesia is arguably the least understood, most debilitating, and hardest to treat.

^{[16]}Additionally, three classical regression models (i.

^{[17]}Compared with three classical change detection methods, the proposed method is applied to four real datasets in experimental studies.

^{[18]}For this torque, the system of differential equations has three classical first integrals: the energy integral, the area integral, and the geometric integral.

^{[19]}There were three classical domains in the predicted CgTRIM1 protein, including one RING domain, two b-box domains and one coiled-coil domain in N-terminal.

^{[20]}And 27 potential reference genes including 21 newly stable genes, three classical housekeeping genes, and homologous genes of three ideal reference genes in Volvariella volvacea, were screened based on transcriptome datasets of A.

^{[21]}Three classical two-dimensional numerical examples are used to validate the proposed hole nucleation method.

^{[22]}SRFD was applied to three different heterogeneous regions and compared with the results from three classical or excellent methods, including thermal image sharpening algorithm, multifactor geographically weighted regression, and random forest downscaling method.

^{[23]}Extensive experiments on three classical tasks in sequence labeling domain, i.

^{[24]}The performance evaluation tests of the proposed hybrid metaheuristic algorithm are performed on the three classical LRP benchmark sets taken from the related literature, and the obtained results are compared against some of the formerly proposed and published methods in terms of solution quality.

^{[25]}CONCLUSION The community detection algorithm found the existence of more than the three classical skeletal classifications.

^{[26]}Chemiluminescence images are taken to evaluate the combustion characteristics in terms of the three classical flame regimes: weak flames, Flames with Repetitive Extinction, and Ignition (FREI) and normal flames.

^{[27]}These models have the potential to unify the three classical limit problems (namely the ``unchanged' Stokes system, the Brinkman model, and the Darcy's law) corresponding to various asymptotic regimes of the ratio $\eta\equiv a_{\epsilon}/\epsilon$ between the radius $a_{\epsilon}$ of the holes and the size $\epsilon$ of the periodic cell.

^{[28]}The clustering performance of the proposed method is evaluated for three classical HSIs, and the experimental results illustrate that the proposed method is memory and computationally efficient and outperforms the state-of-the-art HSI clustering methods.

^{[29]}In this paper, three classical color interpolation algorithms- Bilinear interpolation algorithm, COK Algorithm, Gradient Interpolation Algorithm- are compared and studied.

^{[30]}More specifically, a novel two-dimensional dataset of the received signal is established and three classical CNN (LeNet, AlexNet and VGG-16)-based CSS schemes are trained and analyzed on the proposed dataset.

^{[31]}Background: The major histocompatibility complex in humans includes three classical class I loci (A, B and C), which are important biomarkers for transplant of organs and hematopoietic stem cells.

^{[32]}Meanwhile, INSBBO has a better or similar performance among other state-of-the-art intelligent algorithms by comparing three classical benchmark scheduling datasets.

^{[33]}The equilibrium adsorption data, tested against three classical nonlinear adsorption isotherms, was best described by the Freundlich model.

^{[34]}We do extensive experiments in natural images and remote sensing images with different magnifying factors and compare our method with three classical super-resolution methods.

^{[35]}The model fully predicted the three classical stages of epoxy resin creep (the primary, secondary and tertiary) and the dependent behavior of epoxy resin creep on temperature and stress level at the molecular level, and the creep rate increases with the increase of temperature and stress level.

^{[36]}Overall, four Quantum ML models were trained and three Classical ML models were trained.

^{[37]}This results in three classical symptoms: mental impairment, gait disturbance, and urinary or fecal incontinence.

^{[38]}Then, to assess the effectiveness of the novel model, this paper adopts Chinese oil, gas, coal and clean energy as research objects, and three classical grey forecasting models and one time series method are chosen for comparison.

^{[39]}By observing the results, it was possible to conclude that little attention has been given to the dimension Value in academic studies related to Big Data when compared to researches directed to the other three classical dimensions (Volume, Velocity and Variety).

^{[40]}Finally, we validate our theoretical model on a humanoid robot in three classical conditioning experiments (acquisition, extinction, and reacquisition) and a speed generalization experiment, and the results show that our model is computationally feasible as a foundation for brain-inspired robot classical conditioning.

^{[41]}The PCP tells us that when we put three classical particles in two boxes, we must find one pair in the same box.

^{[42]}The numerical results show the performance of the proposed algorithms and their superiority compared with three classical alternating/joint methods.

^{[43]}Those techniques were classified into three different groups—comparison functions, rendered images, and plots—and, to illustrate their use, three classical and widely adopted models and one state-of-the-art BRDF representation were evaluated regarding their capacity to preserve the appearance of measured materials.

^{[44]}Our proposal leads to the paradigm of Branch & Memorize and its implementation to three classical single machine problems is validated by an extensive computational experimentation that shows that the mentioned paradigm consistently improves existing exact branching algorithms.

^{[45]}For the purpose of highlighting the superior performance of the FPZNN model, the other three classical neural network models are developed for comparison purposes.

^{[46]}For this purpose, three classical case studies on engineering are considered.

^{[47]}Gene expression of three classical TH-responsive targets (thra, thrb, and thibz) was measured in tadpole liver and tail fin tissue through reverse transcription quantitative polymerase chain reaction (RT-qPCR).

^{[48]}Experimental results on three classical hyperspectral datasets confirm that the proposed method performs better than some traditional and recently proposed methods.

^{[49]}patens for the three classical hormones auxins, cytokinins and abscisic acid.

^{[50]}

## Include Three Classical

Background: Myeloproliferative neoplasms (MPNs) include three classical subtypes: polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF).^{[1]}Background: The major histocompatibility complex in humans includes three classical class I loci (A, B and C), which are important biomarkers for transplant of organs and hematopoietic stem cells.

^{[2]}Hence, this study presents an ex-ante decision-making model for evaluating the sustainability of urban renewal projects based on hybrid multiple-attribute decision-making (MADM) from a government perspective, and includes three classical dimensions: economic (D1), social and cultural (D2), and environment (D3), as well as 13 relevant criteria.

^{[3]}

## Applying Three Classical

This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios.^{[1]}This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios.

^{[2]}

## three classical model

In addition, three classical models (Latini model, Sastri model, Liu model) were used to represent the present experimental data and the results show that Liu model with re-fitted parameters performs better in the prediction of the thermal conductivity of FAMEs, with regard to accuracy.^{[1]}This structure contains the multivariate Poisson, multivariate geometric, and the multivariate Bernoulli distributions as special cases, and serves as a bridge distribution across these three classical models to address other levels of over- or under-dispersion.

^{[2]}Therefore, in this study, four valuation models have been applied, three classical models (net present value, internal rate of return, and payback) and a more recent model, real options (RO) for a company producing and marketing seaweed in Galicia (region located in the northwest of Spain).

^{[3]}We apply the method to three classical models and conduct experiments on six public datasets.

^{[4]}Based on the comparative analysis of three classical models, the complex refractive index method (CRIM), Brown, and Looyenga; based on the L-R model, the linear regression analysis was conducted on the test data.

^{[5]}For all the analyzed cases, the exponential polynomial model can fit very well against the RCS distribution data with bimodal shape, and the fitting effect is significantly better than the results of the three classical models.

^{[6]}

## three classical benchmark

Extensive experiments on three classical benchmark datasets and MS-COCO demonstrate that the proposed method significantly outperforms the state-of-the-art in terms of per-label and per-image metrics.^{[1]}Meanwhile, INSBBO has a better or similar performance among other state-of-the-art intelligent algorithms by comparing three classical benchmark scheduling datasets.

^{[2]}Numerical simulation experiment is used to verify the effectiveness of the model, the mean relative error (MRE) of the three classical benchmark functions decreases, respectively, from 0.

^{[3]}Results obtained at twenty-three classical benchmark functions and the Wilcoxon test validate the efficiency and superiority of the proposed ASSA algorithm in the diagnosis of centrifugal pump impeller faults.

^{[4]}

## three classical cnn

More specifically, a novel two-dimensional dataset of the received signal is established and three classical CNN (LeNet, AlexNet and VGG-16)-based CSS schemes are trained and analyzed on the proposed dataset.^{[1]}Three classical CNN models are optimized through experiments so that they become more suitable for recognition of one-dimensional time series signals.

^{[2]}Finally, compared with the current three classical CNN architecture models designed by professionals, the methodology proposed in this paper has significant advantages in fault diagnosis and model structure construction.

^{[3]}

## three classical algorithm

The experimental results of different problems indicate that the proposed algorithm can achieve better solutions than three classical algorithms (NSGAII, SPEA2 and HS) for the MOATALBP.^{[1]}Compared with the other three classical algorithms, the proposed algorithm consistently shows high accuracy.

^{[2]}Finally, experiments are carried out by using the dataset collected in both a closed laboratory and an open long corridor, and it is shown that the proposed algorithm substantially improves the localization accuracy comparing with other three classical algorithms.

^{[3]}

## three classical thermodynamic

Furthermore, three classical thermodynamic models (modified Apelblat model, λh model and NRTL model) were used to correlate these determined solubility data, and modified Apelblat model shows the minor deviation than other models.^{[1]}In this way, the three classical thermodynamic processes in the CLE (Classical Lenoir Engine), namely isochoric, isotherm, and isobar, can be analogous to the quantum system.

^{[2]}

## three classical wflo

This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios.^{[1]}This paper compares four wake models selected from FLORIS by applying three classical WFLO scenarios.

^{[2]}

## three classical concept

Three classical concepts have been proposed to explain the lineage specification mechanism of the preimplantation embryo: inside-outside, pre-patterning, and polarity models.^{[1]}The research carried out in this article represents what contribution the analytical philosophers have made to the understanding of the political, how the meanings laid down by the representatives of the three classical concepts are transformed.

^{[2]}

## three classical network

When compared with the other three classical networks (i.^{[1]}In this paper, this is the first time three classical network construction methods for seismicity are compared.

^{[2]}

## three classical test

For the inverse problem, three classical test cases for two-phase modeling are investigated: (i) drop in a shear flow, (ii) oscillating drop and (iii) rising bubble.^{[1]}In the current paper we analyze the three classical tests of general relativity, viz.

^{[2]}

## three classical regression

Additionally, three classical regression models (i.^{[1]}We show in this work that three classical regression methods are able to achieve meaningful results for ELA-based algorithm selection.

^{[2]}

## three classical hsi

The clustering performance of the proposed method is evaluated for three classical HSIs, and the experimental results illustrate that the proposed method is memory and computationally efficient and outperforms the state-of-the-art HSI clustering methods.^{[1]}The effectiveness and efficiency of the proposed method are verified on three classical HSIs, and the experimental results illustrate the superiority of the proposed method compared with other state-of-the-art HSI clustering methods.

^{[2]}

## three classical ml

Overall, four Quantum ML models were trained and three Classical ML models were trained.^{[1]}Overall, four Quantum ML models were trained and three Classical ML models were trained.

^{[2]}

## three classical dimension

By observing the results, it was possible to conclude that little attention has been given to the dimension Value in academic studies related to Big Data when compared to researches directed to the other three classical dimensions (Volume, Velocity and Variety).^{[1]}Hence, this study presents an ex-ante decision-making model for evaluating the sustainability of urban renewal projects based on hybrid multiple-attribute decision-making (MADM) from a government perspective, and includes three classical dimensions: economic (D1), social and cultural (D2), and environment (D3), as well as 13 relevant criteria.

^{[2]}

## three classical clustering

Then, three classical clustering algorithms are used to cluster the cells obtained by these gene selection methods.^{[1]}Present method is based on an ensemble of three classical clustering algorithms (Fuzzy C-means, K-medoids and K-means++) to group the pixels as foreground or background, after application of a coherent image normalization method.

^{[2]}

## three classical classifier

This research uses the performance of 23 class imbalance methods (resampling and hybrid systems) with three classical classifiers (logistic regression, random forest, and LinearSVC) to identify the best imbalance techniques suitable for medical datasets.^{[1]}Experiments and comparisons on 15 widely-used UCI benchmark datasets demonstrate that 3WGC-WSD outperforms three state-of-the-art classifiers and three classical classifiers in terms of four indexes.

^{[2]}

## three classical approach

To testify the role of aspect, we respectively integrated the aspect into three classical approaches: mean curvature-based fuzzy classification, elevation-based feature descriptor, and object-based segmentation.^{[1]}To analyze the PSFP recognition performance, three classical approaches for local feature extraction, specifically the histogram of oriented gradients (HOG), local binary pattern, and Gabor, were applied to extract profile facial expression features.

^{[2]}