Wissal Benaffari^1,2,3, Fatima-Ezzahra Soussani^1,2,4, Abderrahim Boutasknit^1,2,5, Salma Toubali^1,2,3, Abir Ben Hassine³, Hala Ben Ahmed³, Rachid Lahlali^7,*, Abdelilah Meddich^1,2,6,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2285-2302, 2024, DOI:10.32604/phyton.2024.055052 - 30 September 2024

Abstract Quinoa (Chenopodium quinoa) has recently gained popularity as a pseudo-cereal cultivated in various countries due to the nutritional and antioxidant benefits of its seeds, and its capacity to persist in water-stressed environments. Our study aimed to assess the effects of native arbuscular mycorrhizal fungi (AMF) and local organic amendments on the metabolic responses and antioxidant activity of quinoa seeds under water-stressed conditions. To this end, quinoa plants were grown in soils inoculated with an indigenous mycorrhizal consortium AMF and amended with two types of compost from horse manure (HM) and green waste (GW) under two water… More >

Oluwaseun Peter Ige^1,2, Keng Hoon Gan^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1847-1865, 2024, DOI:10.32604/cmes.2024.053373 - 27 September 2024

Abstract Feature selection is a crucial technique in text classification for improving the efficiency and effectiveness of classifiers or machine learning techniques by reducing the dataset’s dimensionality. This involves eliminating irrelevant, redundant, and noisy features to streamline the classification process. Various methods, from single feature selection techniques to ensemble filter-wrapper methods, have been used in the literature. Metaheuristic algorithms have become popular due to their ability to handle optimization complexity and the continuous influx of text documents. Feature selection is inherently multi-objective, balancing the enhancement of feature relevance, accuracy, and the reduction of redundant features. This… More >

Shenjia He¹, Wenbin Cai², Haitao Zhang³, Tao Wang³, Xinhui Qiao³

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.40, No.2, pp. 1-7, 2024, DOI:10.23967/j.rimni.2024.05.003 - 13 May 2024

Abstract In the present study, a novel approach to dynamic economic dispatch for power systems spanning multiple regions is introduced, utilizing the alternating direction multiplier method (ADMM) as its computational foundation. The proposed economic scheduling model is designed to optimize the operational costs of the system comprehensively, while adhering to a spectrum of operational constraints. Employing the ADMM, the study achieves a distributed resolution of the model by severing the inter-regional interconnections, thereby partitioning the overarching optimization challenge into manageable sub-problems specific to each region. This methodology facilitates the attainment of the system’s global optimum through More >

Guangbing Xiao^*, Ruijie Gu, Ning Sun, Yong Zhang

Computer Systems Science and Engineering, Vol.48, No.5, pp. 1329-1348, 2024, DOI:10.32604/csse.2024.050817 - 13 September 2024

Abstract In response to the challenges posed by insufficient real-time performance and suboptimal matching accuracy of traditional feature matching algorithms within automotive panoramic surround view systems, this paper has proposed a high-performance dimension reduction parallel matching algorithm that integrates Principal Component Analysis (PCA) and Dual-Heap Filtering (DHF). The algorithm employs PCA to map the feature points into the lower-dimensional space and employs the square of Euclidean distance for feature matching, which significantly reduces computational complexity. To ensure the accuracy of feature matching, the algorithm utilizes Dual-Heap Filtering to filter and refine matched point pairs. To further More >

Yuanyuan Wang^1,2,*, Jialong Huang¹, Md Sharid Kayes Dipu¹, Hu Zhao³, Shangbing Gao^1,2, Haiyan Zhang^1,2, Pinrong Lv¹

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4973-4995, 2024, DOI:10.32604/cmc.2024.055839 - 12 September 2024

Abstract Printed circuit boards (PCBs) provide stable connections between electronic components. However, defective printed circuit boards may cause the entire equipment system to malfunction, resulting in incalculable losses. Therefore, it is crucial to detect defective printed circuit boards during the generation process. Traditional detection methods have low accuracy in detecting subtle defects in complex background environments. In order to improve the detection accuracy of surface defects on industrial printed circuit boards, this paper proposes a residual large kernel network based on YOLOv5 (You Only Look Once version 5) for PCBs surface defect detection, called YOLO-RLC (You… More >

Mohamed Rabik Mohamed Ismail¹, Muthuramalingam Thangaraj^1,*, Khaja Moiduddin^2,*, Zeyad Almutairi^2,3, Mustufa Haider Abidi²

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4263-4279, 2024, DOI:10.32604/cmc.2024.055271 - 12 September 2024

Abstract The measurement and mapping of objects in the outer environment have traditionally been conducted using ground-based monitoring systems, as well as satellites. More recently, unmanned aerial vehicles have also been employed for this purpose. The accurate detection and mapping of a target such as buildings, trees, and terrains are of utmost importance in various applications of unmanned aerial vehicles (UAVs), including search and rescue operations, object transportation, object detection, inspection tasks, and mapping activities. However, the rapid measurement and mapping of the object are not currently achievable due to factors such as the object’s size,… More >

Hussein Alaa Al-Kabbi^1,2, Mohammad-Reza Feizi-Derakhshi^1,*, Saeed Pashazadeh³

Intelligent Automation & Soft Computing, Vol.39, No.4, pp. 665-682, 2024, DOI:10.32604/iasc.2024.050452 - 06 September 2024

Abstract SMS spam poses a significant challenge to maintaining user privacy and security. Recently, spammers have employed fraudulent writing styles to bypass spam detection systems. This paper introduces a novel two-level detection system that utilizes deep learning techniques for effective spam identification to address the challenge of sophisticated SMS spam. The system comprises five steps, beginning with the preprocessing of SMS data. RoBERTa word embedding is then applied to convert text into a numerical format for deep learning analysis. Feature extraction is performed using a Convolutional Neural Network (CNN) for word-level analysis and a Bidirectional Long… More >

Zhisheng Xu¹, Juan Wang¹, Zihan Yu¹, Jiaming Zhao^2,*

Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1129-1151, 2024, DOI:10.32604/fhmt.2024.053695 - 30 August 2024

Abstract Called island-crossing tunnels, some specific underwater tunneling projects face constraints imposed by geological and water conditions, necessitating their passage through artificial or natural islands. The longitudinal of the tunnel follows a W-shaped distribution. The congestion situation does not allow for immediate longitudinal smoke exhaust at the early stage of the fire, and the natural spread of smoke is complicated. An exhaustive investigation was carried out to analyze the smoke behaviors during a fire incident, employing the fire dynamics software FDS, considering five slopes and four fire locations. The simulation results reveal that the layer of… More >

Rafael Ariza-Flores¹, Rafael Ambriz-Cervantes², Pedro Cadena-Iñiguez³, Luis A. Gálvez-Marroquín⁴, Miguel A. Cano-García^4,*

Phyton-International Journal of Experimental Botany, Vol.93, No.8, pp. 1805-1818, 2024, DOI:10.32604/phyton.2024.050093 - 30 August 2024

Abstract The objective of this study consisted of evaluating the effect of the application of chitosan (Q), 1-methylcyclopropene (1-MCP) under two controlled temperatures on some physical, physiological, and chemical parameters contributing to the quality of Persian lime Citrus latifolia fruits. Eight treatments were evaluated, resulting from the combination of four senescence retardant applications (Q, 1-MCP, 1-MCP + Q, and without application) on fruits stored at two temperatures (12/20°C). Epidermis color (luminosity, chromaticity, and hue), fruit appearance, respiration, weight loss, total juice content, total soluble solids, and titratable acidity were registered during the study. The results indicate that More >

Borja Bordel Sánchez^1,*, Ramón Alcarria², Tomás Robles¹

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 631-654, 2024, DOI:10.32604/cmes.2024.050349 - 20 August 2024

Abstract Future 6G communications are envisioned to enable a large catalogue of pioneering applications. These will range from networked Cyber-Physical Systems to edge computing devices, establishing real-time feedback control loops critical for managing Industry 5.0 deployments, digital agriculture systems, and essential infrastructures. The provision of extensive machine-type communications through 6G will render many of these innovative systems autonomous and unsupervised. While full automation will enhance industrial efficiency significantly, it concurrently introduces new cyber risks and vulnerabilities. In particular, unattended systems are highly susceptible to trust issues: malicious nodes and false information can be easily introduced into… More >