Yan Li¹, Renquan Huang¹, Jianrong Li¹, Xiaozhen Huang¹, Xiaofang Zeng^1,*, Degang Zhao^1,2,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 111-127, 2021, DOI:10.32604/phyton.2020.013933

Abstract Plant architecture is a vital agronomic trait to control yield in rice (Oryza sativa L.). A dwarf and small seed 1 (dss1) mutant were obtained from the ethyl methanesulfonate (EMS) mutagenized progeny of a Guizhou glutinous landrace cultivar, Lipingzabianhe. The dss1 mutant displayed phenotypes similar to those of brassinosteroid (BR) deficient mutants, such as dwarfing, dark green and rugose erect leaves, small seeds, and loner neck internode panicles with primary branching. In our previous study, the underlying DSS1 gene was isolated, a novel allele of OsDWARF (OsBR6ox) that encodes a cytochrome P450 protein involved in the BR biosynthetic pathway by… More >

Qin Liu^*, Ruliang Zhang

Energy Engineering, Vol.118, No.1, pp. 173-187, 2021, DOI:10.32604/EE.2020.012788

Abstract With the continuous advancement of economic globalization, energy demand is expanding and energy consumption is excessive, which leads to energy shortage. Unreasonable energy use also brings great challenges to the environment and affects the balance of the ecosystem seriously. The rise of the third industrial revolution has injected new vitality into energy system. The construction of energy Internet system, which integrates Internet technology and energy technology, has become a new energy system of sustainable development. It has put forward the reform scheme for the mismatch of energy demand points and environmental pollution. The deepening of sustainable development strategy accelerates the… More >

Abdulrahman Alasmari^*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1059-1081, 2020, DOI:10.32604/phyton.2020.010952

Abstract In the Kingdom of Saudi Arabia (KSA), thousands of plants are considered to have therapeutic value. The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources. The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification. The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal… More >

Mohammad Behrouzian Nejad^∗

Computer Systems Science and Engineering, Vol.35, No.5, pp. 367-375, 2020, DOI:10.32604/csse.2020.35.367

Abstract Considering that routing algorithms for the Network on Chip (NoC) architecture is one of the key issues that determine its ultimate performance, several things have to be considered for developing new routing algorithms. This includes examining the strengths, capabilities, and weaknesses of the commonly proposed algorithms as a starting point for developing new ones.
Because most of the algorithms presented are based on the well-known algorithms that are studied and evaluated in this research. Finally, according to the results produced under different conditions, better decisions can be made when using the aforementioned algorithms as well as when presenting new routing… More >

V. Sudha^1,*, T. R. Ganeshbabu²

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 827-842, 2021, DOI:10.32604/cmc.2020.012008

Abstract Diabetic Retinopathy (DR) is a type of disease in eyes as a result of a diabetic condition that ends up damaging the retina, leading to blindness or loss of vision. Morphological and physiological retinal variations involving slowdown of blood flow in the retina, elevation of leukocyte cohesion, basement membrane dystrophy, and decline of pericyte cells, develop. As DR in its initial stage has no symptoms, early detection and automated diagnosis can prevent further visual damage. In this research, using a Deep Neural Network (DNN), segmentation methods are proposed to detect the retinal defects such as exudates, hemorrhages, microaneurysms from digital… More >

Yunping Zhao, Jianzhuang Lu^*, Xiaowen Chen

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 517-535, 2021, DOI:10.32604/cmc.2020.012380

Abstract Convolutional Neural Networks (CNNs) are widely used in many fields. Due to their high throughput and high level of computing characteristics, however, an increasing number of researchers are focusing on how to improve the computational efficiency, hardware utilization, or flexibility of CNN hardware accelerators. Accordingly, this paper proposes a dynamically reconfigurable accelerator architecture that implements a Sparse-Winograd F(2 2.3 3)-based high-parallelism hardware architecture. This approach not only eliminates the pre-calculation complexity associated with the Winograd algorithm, thereby reducing the difficulty of hardware implementation, but also greatly improves the flexibility of the hardware; as a result, the accelerator can realize the… More >

Xing Deng^1,2, Haijian Shao^1,2,*

Energy Engineering, Vol.117, No.5, pp. 279-287, 2020, DOI:10.32604/EE.2020.011619

Abstract Recurrent neural networks (RNNs) as one of the representative deep learning methods, has restricted its generalization ability because of its indigestion hidden-layer information presentation. In order to properly handle of hidden-layer information, directly reduce the risk of over-fitting caused by too many neuron nodes, as well as realize the goal of streamlining the number of hidden layer neurons, and then improve the generalization ability of RNNs, the hidden-layer information of RNNs is precisely analyzed by using the unsupervised clustering methods, such as Kmeans, Kmeans++ and Iterative self-organizing data analysis (Isodata), to divide the similarity of raw data points, and maps… More >

Shouki A. Ebad^1,∗, Moataz Ahmed^2,†

Computer Systems Science and Engineering, Vol.34, No.5, pp. 283-296, 2019, DOI:10.32604/csse.2019.34.283

Abstract In object-oriented development, packages form the basic modular structural components of large-scale software systems. Packaging processes aim to group classes together to provide well-identified functions/services to the rest of the system. In this context, it is widely believed that packaging quality has an influence on the software stability so that it should be useful predictors for modular structural stability. In this paper, we investigate the effect of packaging configurations on the modular structure stability of object-oriented systems. Using genetic algorithms, we conducted a series of experiments to find the relation between the packaging quality and modular structure stability. We conducted… More >

Arun Kumar Sangaiah^1,*, Ford Lumban Gaol², Krishn K. Mishra³

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 515-517, 2020, DOI:10.32604/iasc.2020.013928

Abstract This article has no abstract. More >

Inzamam Mashood Nasir¹, Muhammad Attique Khan^1,*, Majed Alhaisoni², Tanzila Saba³, Amjad Rehman³, Tassawar Iqbal⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1017-1033, 2020, DOI:10.32604/cmes.2020.010943

Abstract Comic character detection is becoming an exciting and growing research area in the domain of machine learning. In this regard, recently, many methods are proposed to provide adequate performance. However, most of these methods utilized the custom datasets, containing a few hundred images and fewer classes, to evaluate the performances of their models without comparing it, with some standard datasets. This article takes advantage of utilizing a standard publicly dataset taken from a competition, and proposes a generic data balancing technique for imbalanced dataset to enhance and enable the in-depth training of the CNN. In addition, to classify the superheroes… More >