Guanpeng Huang^1,#, Ti Wu^1,2,#, Yinjie Zheng³, Qiyun Gu², Qiaobin Chen², Shoukai Lin^2,*, Jincheng Wu^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2715-2735, 2024, DOI:10.32604/phyton.2024.056484 - 30 November 2024

Abstract Loquat (Eriobotrya japonica Lindl.), a rare fruit native to China, has a long history of cultivation in China. Low temperature is the key factor restricting loquat growth and severely affects yield. Low temperature induces the regeneration and metabolism of reduced glutathione (GSH) to alleviate stress damage via the participation of glutathione S-transferases (GSTs) in plants. In this study, 16 GSTs were identified from the loquat genome according to their protein sequence similarity with Arabidopsis GSTs. On the basis of domain characteristics and phylogenetic analysis of AtGSTs, these EjGSTs can be divided into 4 subclasses: Phi, Theta, Tau… More >

Suneel Kumar Rath¹, Madhusmita Sahu¹, Shom Prasad Das², Junali Jasmine Jena³, Chitralekha Jena⁴, Baseem Khan^5,6,7,*, Ahmed Ali⁷, Pitshou Bokoro⁷

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1513-1536, 2024, DOI:10.32604/csse.2024.057067 - 22 November 2024

Abstract Redundancy, correlation, feature irrelevance, and missing samples are just a few problems that make it difficult to analyze software defect data. Additionally, it might be challenging to maintain an even distribution of data relating to both defective and non-defective software. The latter software class’s data are predominately present in the dataset in the majority of experimental situations. The objective of this review study is to demonstrate the effectiveness of combining ensemble learning and feature selection in improving the performance of defect classification. Besides the successful feature selection approach, a novel variant of the ensemble learning… More >

Van-Truong Nguyen^1,*, Dai-Nhan Duong¹, Dinh-Hieu Phan¹, Thanh-Lam Bui¹, Xiem HoangVan², Phan Xuan Tan³

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2337-2356, 2024, DOI:10.32604/cmc.2024.055412 - 18 November 2024

Abstract This paper proposes an adaptive nonlinear proportional-derivative (ANPD) controller for a two-wheeled self-balancing robot (TWSB) modeled by the Lagrange equation with external forces. The proposed control scheme is designed based on the combination of a nonlinear proportional-derivative (NPD) controller and a genetic algorithm, in which the proportional-derivative (PD) parameters are updated online based on the tracking error and the preset error threshold. In addition, the genetic algorithm is employed to adaptively select initial controller parameters, contributing to system stability and improved control accuracy. The proposed controller is basic in design yet simple to implement. The… More >

Huilin Ren^1,2, David W. Rosen², Yi Xiong^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010920

Abstract The advancement of continuous fiber-reinforced polymer additive manufacturing (CFRP-AM) enables the fabrication of structures with complex geometries and superior properties. However, current design methodologies consider toolpath design and structure optimization as separate stages, with toolpath design typically serving as a post-processing step after structure optimization. This sequential methodology limits the full exploitation of fiber reinforced polymer composites (FRPC) capabilities, particularly in achieving optimal structural integrity and manufacturability. In this paper, a manufacturing-oriented method is proposed for designing continuous FRPC structures, in which the structural layout and continuous fiber toolpaths are simultaneously optimized. The integrated design… More >

Shen Su^1,*, Daojing He², Neeraj Kumar³

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 1933-1937, 2024, DOI:10.32604/cmes.2024.059318 - 31 October 2024

Abstract This article has no abstract. More >

Gaoyin Wu^1,#, Yundou Pang^1,#, Ya Tan¹, Zhongcheng Peng¹, Shuanggui Geng¹, Guanglin Tao², Qiuying Li¹, Shuang Wang¹, Lihong Zhang¹, Quanyan Tian¹, Yingliang Liu^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2597-2611, 2024, DOI:10.32604/phyton.2024.056875 - 30 October 2024

Abstract To establish an efficient regeneration method for the rare and endangered plant Mussaenda anomala to address problems regarding its reproductive obstacles and scarce populations. In this study, the terminal buds, axillary buds, stem segments with two axillary buds, stem segments with two axillary buds and one terminal bud, and leaves of M. anomala were used as explants. The effects of different explants and disinfection methods, plant growth regulators and substrates on plant regeneration were explored. The following results were obtained: (1) The terminal bud was a suitable explant for M. anomala tissue culture, and the disinfection method utilized… More >

Fahim Nasir¹, Abdulghani Ali Ahmed^1,*, Mehmet Sabir Kiraz¹, Iryna Yevseyeva¹, Mubarak Saif²

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1703-1728, 2024, DOI:10.32604/cmc.2024.055192 - 15 October 2024

Abstract Integrating machine learning and data mining is crucial for processing big data and extracting valuable insights to enhance decision-making. However, imbalanced target variables within big data present technical challenges that hinder the performance of supervised learning classifiers on key evaluation metrics, limiting their overall effectiveness. This study presents a comprehensive review of both common and recently developed Supervised Learning Classifiers (SLCs) and evaluates their performance in data-driven decision-making. The evaluation uses various metrics, with a particular focus on the Harmonic Mean Score (F-1 score) on an imbalanced real-world bank target marketing dataset. The findings indicate… More >

Chandraumakantham Om Kumar^1,*, Sudhakaran Gajendran², Suguna Marappan¹, Mohammed Zakariah³, Abdulaziz S. Almazyad⁴

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 471-501, 2024, DOI:10.32604/cmc.2024.054966 - 15 October 2024

Abstract The security of the wireless sensor network-Internet of Things (WSN-IoT) network is more challenging due to its randomness and self-organized nature. Intrusion detection is one of the key methodologies utilized to ensure the security of the network. Conventional intrusion detection mechanisms have issues such as higher misclassification rates, increased model complexity, insignificant feature extraction, increased training time, increased run time complexity, computation overhead, failure to identify new attacks, increased energy consumption, and a variety of other factors that limit the performance of the intrusion system model. In this research a security framework for WSN-IoT, through… More >

Bayan Alabdullah¹, Muhammad Tayyab², Yahay AlQahtani³, Naif Al Mudawi⁴, Asaad Algarni⁵, Ahmad Jalal², Jeongmin Park^6,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 309-326, 2024, DOI:10.32604/cmc.2024.053538 - 15 October 2024

Abstract In the modern era of a growing population, it is arduous for humans to monitor every aspect of sports, events occurring around us, and scenarios or conditions. This recognition of different types of sports and events has increasingly incorporated the use of machine learning and artificial intelligence. This research focuses on detecting and recognizing events in sequential photos characterized by several factors, including the size, location, and position of people’s body parts in those pictures, and the influence around those people. Common approaches utilized, here are feature descriptors such as MSER (Maximally Stable Extremal Regions),… More >

Yusuf Olanrewaju Busari^1,2,*, Issah Sadiq Ibrahim¹, Kabir S. Ajao¹, Norliana Mohd Abbas², James Obafemi Adegbola¹, Hassan Kobe Ibrahim³, Abdallah Reghioua⁴, Yusuf Lanre Shuaib-Babata¹, Rachael Oluwatoyosi Idowu¹

Journal of Polymer Materials, Vol.41, No.3, pp. 117-129, 2024, DOI:10.32604/jpm.2024.055895 - 30 September 2024

Abstract The research paper focuses on manufacturing composite materials from waste polyethylene terephthalate (PET) reinforced with soda-lime glass to provide a lightweight, less brittle, and high rust resistance when exposed to hazardous environment. In developing nations such as Nigeria, there is a significant surge in the volume of bottled water and other packaging materials used in households, leading to a rapid accumulation of biodegradable waste, that presents concerns such as the creation of landfills and health issues. PET are thermoplastic polymer that can be melted and shaped into various objects. This study involves the incorporation of… More >