Xiangchun Liu¹, Jing Yu²,Wei Song^{1, 3, *}, Xinping Zhang¹, Lizhi Zhao¹, Antai Wang⁴

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1385-1395, 2020, DOI:10.32604/cmc.2020.011308 - 20 August 2020

Abstract With the development of satellite technology, the satellite imagery of the earth’s surface and the whole surface makes it possible to survey surface resources and master the dynamic changes of the earth with high efficiency and low consumption. As an important tool for satellite remote sensing image processing, remote sensing image classification has become a hot topic. According to the natural texture characteristics of remote sensing images, this paper combines different texture features with the Extreme Learning Machine, and proposes a new remote sensing image classification algorithm. The experimental tests are carried out through the More >

Fahd N. Al-Wesabi^{1, 2, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1137-1156, 2020, DOI:10.32604/cmc.2020.011151 - 20 August 2020

Abstract Text information is principally dependent on the natural languages. Therefore, improving security and reliability of text information exchanged via internet network has become the most difficult challenge that researchers encounter. Content authentication and tampering detection of digital contents have become a major concern in the area of communication and information exchange via the Internet. In this paper, an intelligent text Zero-Watermarking approach SETZWMWMM (Smart English Text Zero-Watermarking Approach Based on Mid-Level Order and Word Mechanism of Markov Model) has been proposed for the content authentication and tampering detection of English text contents. The SETZWMWMM approach… More >

Chuanwei Xu¹, Renju Ding², Chuanping Xu^3,*

Oncologie, Vol.22, No.1, pp. 43-51, 2020, DOI:10.32604/oncologie.2020.012445

Abstract To analyze the effects of different surgical procedures for the treatment of thyroid cancer on the expression levels of serum interleukin-17 (IL-17), IL-35, soluble interleukin-2 receptor (SIL-2R), and the prognostic factors. Seventy-eight patients with differentiated thyroid cancer were selected and grouped as control group (CG) (n = 39, underwent subtotal thyroidectomy) and observation group (OG) (n = 39, underwent total thyroidectomy). The serum IL-17, IL-35, and SIL- 2R expression levels; the incidence of complications; and the differentiated thyroid carcinoma (DTC) relapse rate were compared between the two groups. The serum IL-17 and SIL-2R levels were… More >

Shi Li¹, Xinyan Cao^{1, *}, Yiting Nan²

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 777-788, 2020, DOI:10.32604/cmc.2020.010870 - 23 July 2020

Abstract Stance detection is the task of attitude identification toward a standpoint. Previous work of stance detection has focused on feature extraction but ignored the fact that irrelevant features exist as noise during higher-level abstracting. Moreover, because the target is not always mentioned in the text, most methods have ignored target information. In order to solve these problems, we propose a neural network ensemble method that combines the timing dependence bases on long short-term memory (LSTM) and the excellent extracting performance of convolutional neural networks (CNNs). The method can obtain multi-level features that consider both local More >

Jinxin Zuo^{1, 3}, Yueming Lu^{1, 3, *}, Hui Gao^{2, 3}, Ruohan Cao^{2, 3}, Ziyv Guo^{2, 3}, Jim Feng⁴

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 683-704, 2020, DOI:10.32604/cmc.2020.010793 - 23 July 2020

Abstract The development of the Internet of Things (IoT) calls for a comprehensive information security evaluation framework to quantitatively measure the safety score and risk (S&R) value of the network urgently. In this paper, we summarize the architecture and vulnerability in IoT and propose a comprehensive information security evaluation model based on multi-level decomposition feedback. The evaluation model provides an idea for information security evaluation of IoT and guides the security decision maker for dynamic protection. Firstly, we establish an overall evaluation indicator system that includes four primary indicators of threat information, asset, vulnerability, and management,… More >

Yongmei Zhang^{1, *}, Jianzhe Ma², Lei Hu³, Keming Yu⁴, Lihua Song^{1, 5}, Huini Chen¹

CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1929-1944, 2020, DOI:10.32604/cmc.2020.010556 - 30 June 2020

Abstract The prediction of particles less than 2.5 micrometers in diameter (PM2.5) in fog and haze has been paid more and more attention, but the prediction accuracy of the results is not ideal. Haze prediction algorithms based on traditional numerical and statistical prediction have poor effects on nonlinear data prediction of haze. In order to improve the effects of prediction, this paper proposes a haze feature extraction and pollution level identification pre-warning algorithm based on feature selection and integrated learning. Minimum Redundancy Maximum Relevance method is used to extract low-level features of haze, and deep confidence More >

Mona H. Soliman¹, Taghreed S. Alnusaire², Nessreen F. Abdelbaky^3,4, Aisha A. M. Alayafi⁵, Mirza Hasanuzzaman^6,*, Mohamed M. Rowezak², Mohamed El-Esawi⁷, Amr Elkelish⁸

Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 473-486, 2020, DOI:10.32604/phyton.2020.08795 - 22 June 2020

Abstract Salt stress is one of the major abiotic stress in plants. However, traditional approaches are not always efficient in conferring salt tolerance. Experiments were conducted to understand the role of Trichoderma spp. (T. harzianum and T. viride) in growth, chlorophyll (Chl) synthesis, and proline accumulation of C. pepo exposed to salinity stress. There were three salt stress (50, 100, and 150 mM NaCl) lavels and three different Trichoderma inoculation viz. T. harzianum, T. viride, and T. harzianum + T. viride. Salt stress significantly declined the growth in terms of the shoot and root lengths; however, it was improved by the inoculation of Trichoderma spp.… More >

Xiangyu Gao, Weidong Yang^*, Hongxuan Xian, Xiyuan Tu, Yuanyuang Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 227-241, 2020, DOI:10.32604/cmes.2020.09923 - 19 June 2020

Abstract This paper studies the binder droplet injection process in the 3DP technique. The mathematical model of the binder penetration process for multi-nozzle and multi-layer in 3DP technique is established, by using the conservation Level set method. According to the two-dimensional plane model of three-dimensional spatial structure of sand bed, the construction method of an equivalent cylindrical mapping infiltration model is proposed to represent the porosity of the model in the two-dimensional plane, which is exactly the same as that in the three-dimensional space, as well as closer to the arrangement of the three-dimensional space, and… More >

Alejandro E. Contreras^1,*, Alejandro R. Peirone², Eduardo Cuestas³

Congenital Heart Disease, Vol.15, No.1, pp. 13-20, 2020, DOI:10.32604/CHD.2020.011575 - 17 June 2020

Abstract Introduction: We conducted a systematic review and meta-analysis of published studies to determine the prevalence of troponin elevation after percutaneous atrial septal defect closure (pASDc) as well as to describe the association between troponin elevation and different anatomical risk factors for erosion. Methods: A qualitative systematic review and meta-analysis was undertaken. The selected studies included patients of any age receiving a pASDc; performed under transesophageal echocardiography monitoring; reporting troponin level measurement after the intervention; and indicating prevalence of troponin elevation and/or the association with risk factors for erosion. Results: Six studies were found which included 391 patients… More >

A. Renugambal^{1, *}, K. Selva Bhuvaneswari²

CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 681-700, 2020, DOI:10.32604/cmc.2020.09519 - 10 June 2020

Abstract In this study, a novel hybrid Water Cycle Moth-Flame Optimization (WCMFO) algorithm is proposed for multilevel thresholding brain image segmentation in Magnetic Resonance (MR) image slices. WCMFO constitutes a hybrid between the two techniques, comprising the water cycle and moth-flame optimization algorithms. The optimal thresholds are obtained by maximizing the between class variance (Otsu’s function) of the image. To test the performance of threshold searching process, the proposed algorithm has been evaluated on standard benchmark of ten axial T₂-weighted brain MR images for image segmentation. The experimental outcomes infer that it produces better optimal threshold values… More >