Siyu Lu¹, Ligao Cai¹, Zhixin Liu², Shan Liu¹, Bo Yang¹, Lirong Yin³, Mingzhe Liu⁴, Wenfeng Zheng^1,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1881-1899, 2023, DOI:10.32604/csse.2023.034853

Abstract With the development of Internet technology, the explosive growth of Internet information presentation has led to difficulty in filtering effective information. Finding a model with high accuracy for text classification has become a critical problem to be solved by text filtering, especially for Chinese texts. This paper selected the manually calibrated Douban movie website comment data for research. First, a text filtering model based on the BP neural network has been built; Second, based on the Term Frequency-Inverse Document Frequency (TF-IDF) vector space model and the doc2vec method, the text word frequency vector and the text semantic vector were obtained… More >

Abdel Nasser H. Zaied¹, Ehab Rushdy², Mona Gamal^3,*

Computer Systems Science and Engineering, Vol.47, No.2, pp. 1349-1364, 2023, DOI:10.32604/csse.2023.033596

Abstract Acute leukemia is an aggressive disease that has high mortality rates worldwide. The error rate can be as high as 40% when classifying acute leukemia into its subtypes. So, there is an urgent need to support hematologists during the classification process. More than two decades ago, researchers used microarray gene expression data to classify cancer and adopted acute leukemia as a test case. The high classification accuracy they achieved confirmed that it is possible to classify cancer subtypes using microarray gene expression data. Ensemble machine learning is an effective method that combines individual classifiers to classify new samples. Ensemble classifiers… More >

M. Sathish Kumar^a , N. Sandeep^a,*, B. Rushi Kumar^a , J. Prakash^b

Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-8, 2017, DOI:10.5098/hmt.8.8

Abstract In this study, a numerical investigation is performed to analyse the flow and heat transfer characteristic of magnetohydrodynamic Casson fluid flow past a semi-infinite stretching surface in the presence of Cattaneo – Christov heat flux and nonlinear thermal radiation. Appropriate transformations are employed to reduce the governing partial differential equations into ordinary differential equations. Further, solutions of the ordinary differential equation are obtained with the aid of Runge- Kutta based shooting technique. The effect of various non- dimensional governing parameters on velocity and temperature fields for suction and injection cases are discussed with the help of graphs. Also computed and… More >

C. Veeresh^a , S. V. K. Varma^a , A .G. Vijaya Kumar^b,*, M. Umamaheswar^c, M. C. Raju^c

Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-8, 2017, DOI:10.5098/hmt.8.1

Abstract An analysis is performed to investigate the effects of Joule heating and thermal diffusion on unsteady, viscous, incompressible, electrically conducting MHD heat and mass transfer free convection Casson fluid flow past an oscillating semi-infinite vertical moving porous plate in the presence of heat source/sink and an applied transverse magnetic field. Initially it is assumed that the plate and surrounding fluid at the same temperature and concentration at all the points in stationary condition in the entire flow region. Thereafter a constant temperature is given to the plate hence the buoyancy effect is supporting the fluid to move in upward direction… More >

N. Vedavathi^a , G. Dharmaiah^b,* , K.S. Balamurugan^c, J. Prakash^d

Frontiers in Heat and Mass Transfer, Vol.9, pp. 1-8, 2017, DOI:10.5098/hmt.9.38

Abstract The effects of radiation absorption, first order chemical reaction and diffusion thermo on MHD free convective heat and mass transfer flow of a nanofluid past a semi infinite vertical flat plate are analyzed. The temperature and concentration at the surface are assumed to be oscillatory type. Four types of cubic nano particles which are uniform and size namely, Silver (Ag), Aluminum (Al₂O₃), Copper (Cu) and Titanium Oxide (TiO₂) with water as a base fluid is taken into account. The set of ordinary differential equations are solved by using regular perturbation technique. The impact of various flow parameters on nanofluid velocity,… More >

R. Suresh Babu^1,2, B. Rushi Kumar^1,*, P.A. Dinesh²

Frontiers in Heat and Mass Transfer, Vol.10, pp. 1-9, 2018, DOI:10.5098/hmt.10.3

Abstract This problem deals with the effects of double diffusive, mixed convective flow of an incompressible viscous fluid through a vertical heated plate embedded in a non-Darcy porous medium under the influence of variable fluid properties numerically. The governing equations are modeled for the double diffusive boundary layer flow to understand the behaviour of velocity, temperature and concentration for variable fluid properties namely permeability, porosity, thermal conductivity and solutal diffusivity of the physical modal. Using a suitable similarity transformation, the highly nonlinear coupled PDE's are reduced into a set of coupled ordinary differential equations. By applying the Shooting technique with the… More >

G. Dharmaiah^a,* , CH. Baby Rani^b , N. Vedavathi^c , K.S. Balamurugan^d

Frontiers in Heat and Mass Transfer, Vol.11, pp. 1-8, 2018, DOI:10.5098/hmt.11.6

Abstract Analytical investigation is carried out to analyze the unsteady, two-dimensional, laminar, boundary layer flow of a viscous incompressible electrically conducting and heat absorbing fluid along a semi-infinite vertical permeable moving plate in the presence of Diffusion-thermo and radiation absorption effects. The set of ordinary differential equations are solved by using perturbation technique. The effects of the various fluid flow parameters on velocity, temperature and concentration fields with in the boundary layer have been analyzed with the help of graphs. Numerical values of local skin-friction coefficient, nusselt number and Sherwood number are tabulated. More >

Hao Cui, Yanling Guo^*, Yaning Xiao, Yangwei Wang^*, Jian Li, Yapeng Zhang, Haoyu Zhang

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1635-1675, 2023, DOI:10.32604/cmes.2023.026019

Abstract Harris Hawks Optimization (HHO) is a novel meta-heuristic algorithm that imitates the predation characteristics of Harris Hawk and combines Lévy flight to solve complex multidimensional problems. Nevertheless, the basic HHO algorithm still has certain limitations, including the tendency to fall into the local optima and poor convergence accuracy. Coot Bird Optimization (CBO) is another new swarm-based optimization algorithm. CBO originates from the regular and irregular motion of a bird called Coot on the water’s surface. Although the framework of CBO is slightly complicated, it has outstanding exploration potential and excellent capability to avoid falling into local optimal solutions. This paper… More > Graphic Abstract

Zaihe Cheng¹, Yuwen Tao², Xiaoqing Gu³, Yizhang Jiang², Pengjiang Qian^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1613-1633, 2023, DOI:10.32604/cmes.2023.027708

Abstract Through semi-supervised learning and knowledge inheritance, a novel Takagi-Sugeno-Kang (TSK) fuzzy system framework is proposed for epilepsy data classification in this study. The new method is based on the maximum mean discrepancy (MMD) method and TSK fuzzy system, as a basic model for the classification of epilepsy data. First, for medical data, the interpretability of TSK fuzzy systems can ensure that the prediction results are traceable and safe. Second, in view of the deviation in the data distribution between the real source domain and the target domain, MMD is used to measure the distance between dierent data distributions. The objective… More >

QIAO ZHOU^2,3,4, JIAN LIU^1,2,*, LING XIN¹, YANYAN FANG^1,2, LEI WAN^1,2, DAN HUANG^1,2, JIANTING WEN^1,2

BIOCELL, Vol.47, No.7, pp. 1623-1643, 2023, DOI:10.32604/biocell.2023.028331

Abstract Objective: On the basis of data mining, systematic pharmacology, molecular docking, and experiment validation, the oxidative-inflammatory molecular targets of Coicis Semen in the therapy of osteoarthritis (OA) were explored. Methods: The association rule analysis was effectively applied to highlight the correlation between Coicis Semen and oxidative inflammation indices. The random walk model was subsequently used to evaluate the clinical efficacy of Coicis Semen. Network pharmacology was used to predict network targets. The binding affinity of the active ingredient in Coicis Semen to the key target of OA was also successfully predicted. Results: Coicis Semen showed a significant reduction in oxidative-inflammatory… More >