Yonghao Zhang^1,3, Yongtang Wu², Tao Li¹, Hui Zhou^1,3, Yuling Chen^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 345-361, 2023, DOI:10.32604/cmes.2023.026920 - 23 April 2023

Abstract The data in Mobile Edge Computing (MEC) contains tremendous market value, and data sharing can maximize the usefulness of the data. However, certain data is quite sensitive, and sharing it directly may violate privacy. Vertical Federated Learning (VFL) is a secure distributed machine learning framework that completes joint model training by passing encrypted model parameters rather than raw data, so there is no data privacy leakage during the training process. Therefore, the VFL can build a bridge between data demander and owner to realize data sharing while protecting data privacy. Typically, the VFL requires a… More >

M. B. Almatrafi, Abdulghani Alharbi^*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 827-841, 2023, DOI:10.32604/cmes.2023.027344 - 23 April 2023

Abstract The extraction of traveling wave solutions for nonlinear evolution equations is a challenge in various mathematics, physics, and engineering disciplines. This article intends to analyze several traveling wave solutions for the modified regularized long-wave (MRLW) equation using several approaches, namely, the generalized algebraic method, the Jacobian elliptic functions technique, and the improved Q-expansion strategy. We successfully obtain analytical solutions consisting of rational, trigonometric, and hyperbolic structures. The adaptive moving mesh technique is applied to approximate the numerical solution of the proposed equation. The adaptive moving mesh method evenly distributes the points on the high error areas. More >

Feezan Ahmad¹, Xiaowei Tang¹, Jilei Hu^2,*, Mahmood Ahmad^3,4, Behrouz Gordan⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 455-487, 2023, DOI:10.32604/cmes.2023.025993 - 23 April 2023

Abstract Slope stability prediction plays a significant role in landslide disaster prevention and mitigation. This paper’s reduced error pruning (REP) tree and random tree (RT) models are developed for slope stability evaluation and meeting the high precision and rapidity requirements in slope engineering. The data set of this study includes five parameters, namely slope height, slope angle, cohesion, internal friction angle, and peak ground acceleration. The available data is split into two categories: training (75%) and test (25%) sets. The output of the RT and REP tree models is evaluated using performance measures including accuracy (Acc), Matthews… More >

Yin Li¹, Yuanjia Song¹, Zhengwei Yang², Haijun Jiang³, Bowen Liu^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 1001-1018, 2023, DOI:10.32604/cmes.2023.027072 - 23 April 2023

Abstract The temperature field in laser line scanning thermography is investigated comprehensively in this work, including analytical calculation and experiment. Firstly, the principle of laser line scanning thermography is analyzed. On this basis, a physical laser line scanning model is proposed. Afterwards, based on Fourier transform (FT) and segregation variable method (SVM), the heat conduction differential equation in laser line scanning thermography is derived in detail. The temperature field of the composite-based coatings model with defects is simulated numerically. The results show that the laser line scanning thermography can effectively detect the defects in the model. More > Graphic Abstract

Sufen Zhao^1,2, Rong Peng^1,*, Po Hu², Liansheng Tan²

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 83-130, 2023, DOI:10.32604/cmes.2023.024781 - 23 April 2023

Abstract Real-world complex networks are inherently heterogeneous; they have different types of nodes, attributes, and relationships. In recent years, various methods have been proposed to automatically learn how to encode the structural and semantic information contained in heterogeneous information networks (HINs) into low-dimensional embeddings; this task is called heterogeneous network embedding (HNE). Efficient HNE techniques can benefit various HIN-based machine learning tasks such as node classification, recommender systems, and information retrieval. Here, we provide a comprehensive survey of key advancements in the area of HNE. First, we define an encoder-decoder-based HNE model taxonomy. Then, we systematically More > Graphic Abstract

Khalil Chebil^1,2, Skander Htiouech³, Mahdi Khemakhem^1,2,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 233-263, 2023, DOI:10.32604/cmes.2023.026476 - 23 April 2023

Abstract Crowd management and analysis (CMA) systems have gained a lot of interest in the vulgarization of unmanned aerial vehicles (UAVs) use. Crowd tracking using UAVs is among the most important services provided by a CMA. In this paper, we studied the periodic crowd-tracking (PCT) problem. It consists in using UAVs to follow-up crowds, during the life-cycle of an open crowded area (OCA). Two criteria were considered for this purpose. The first is related to the CMA initial investment, while the second is to guarantee the quality of service (QoS). The existing works focus on very… More >

Yue Wang^1,#, Xiujie Li^2,#, Yusen Wu², Zhonghui Cai¹, Bo Li², Zhaosen Xie^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1859-1871, 2023, DOI:10.32604/phyton.2023.027067 - 11 April 2023

Abstract It is generally agreed that many Vitis vinifera L. cultivars are self-fertile, where self-pollination often occurs before capfall in a process called cleistogamy. Therefore, it is difficult to identify the right time to remove stamens before self-pollination during the cross-breeding of grape. For this paper, we observed the process of grape flowering and measured the pollen viability and stigma receptivity of grape flowers of ‘Shine Muscat’ in order to identify the starting time of self-pollination before capfall and to provide useful information for improving the efficiency of cross-breeding. The results demonstrate that the anther is not… More >

Shunde Su^1,2,#, Huan Chang^3,#, Xiangyang Kang^1,*, Renhua Zheng^2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1713-1723, 2023, DOI:10.32604/phyton.2023.027586 - 11 April 2023

Abstract As the reproductive organ of the endangered species Fokienia hodginsii, the size of the cones is a constraint on the reproductive renewal of the population. In this study, the molecular basis of the influence of cone size on F. hodginsii was elucidated by comparing the phenotype, biochemistry, and transcriptome of two cultivars of F. hodginsii (‘FJ431’ and ‘FJ415’). The two cultivars differed significantly in cone size, with FJ431 having a significantly larger cone size and weight than FJ415, 1.32 and 1.90 times that of FJ415, respectively. RNA-Seq analysis of both cultivars retrieved 75,940 genes whose approximate functions… More >

Hongxiu Gao¹, Lin Zhu², Tianqi Liu¹, Xueyu Leng¹, Zhenxing Zhu³, Wei Xie¹, Haitao Lv¹, Zhengxun Jin¹, Ping Wu^4,#, Zhongchen Zhang^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1743-1763, 2023, DOI:10.32604/phyton.2023.026516 - 11 April 2023

Abstract Cyclophilin (CYP) plays an important role in plant response to stress, and OsCYP2, one gene of cyclophlilin family, is involved in auxin signal transduction and stress signaling in rice. However, the mechanism that OsCYP2 is involved in rice response to low temperature is still unclear. We identified a new OsCYP2 allelic mutant, lrl3, with fewer lateral roots, and the differences in shoot height, primary root length and adventitious root length increased with the growth process compared to the wild-type plant. Auxin signaling pathway was also affected and became insensitive to gravity. The transgenic rice plants with over-expression… More >

Bassam F. Alowaiesh^1,*, M. M. Gad², Mohamed Saleh M. Ali³

Phyton-International Journal of Experimental Botany, Vol.92, No.6, pp. 1813-1829, 2023, DOI:10.32604/phyton.2023.026950 - 11 April 2023

Abstract Olive productivity should be improved through stimulating nutrition, particularly under poor fertility soils. Consequently, the objective of this study was to assess the efficacy of applying organic and bio-fertilizers on the physiological growth, yield and fruit quality of olive trees under newly reclaimed poor-fertility sandy soil in an arid environment. During a field experiment carried out at El-Qantara, North Sinai, Egypt over two consecutive seasons (2019–2020 and 2020–2021), olive Kalamata trees were evaluated under three organic fertilizer treatments alone or in combination with three bio-fertilizers treatments. Organic fertilizer was applied as goat manure (16.8 kg/tree/year),… More >