Zhiyong Yang¹, Jiacheng Zhang¹, Henglin Xiao^1,2, Zhi Chen^1,*, Tian Bao¹, Yin Liu¹

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.9, pp. 2267-2288, 2023, DOI:10.32604/fdmp.2023.028652 - 16 May 2023

Abstract The use of carbon-fiber heating cables (CFHC) to achieve effective melting of snow and ice deposited on roads is a method used worldwide. In this study, tensile and compressive tests have been conducted to analyze the mechanical properties of the CFHC and assess whether the maximum tensile and compressive strengths can meet the pavement design specifications. In order to study the aging produced by multiple cycles of heating and cooling, in particular, the CFHC was repeatedly heated in a cold chamber with an ambient temperature ranging between −20°C and +40°C. Moreover, to evaluate how the More > Graphic Abstract

Yazeed Al-Radhi^1,*, Farzad Hejazi², Azmi Abdulkarim³, Ali Feroozi⁴

Structural Durability & Health Monitoring, Vol.17, No.2, pp. 89-113, 2023, DOI:10.32604/sdhm.2023.011439 - 09 May 2023

Abstract Offshore steel structures are a common investment in oil and gas industries operating in shallow to medium depth seas. These structures have become increasingly popular since the mid-19th century, with a typical design life of 30-50 years. Despite their popularity, the structural integrity of existing offshore structures remains a controversial topic. Environmental loads and material degradation have been identified as significant factors that can compromise the structural integrity of offshore structures. To address this issue, this study aims to investigate the reserved strength capacity of a selected offshore structure located in the Malaysian Seas. The… More >

Noor Ul Sabah¹, Muhammad Murad Khan^1,*, Ramzan Talib¹, Muhammad Anwar², Muhammad Sheraz Arshad Malik³, Puteri Nor Ellyza Nohuddin⁴

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 4955-4972, 2023, DOI:10.32604/cmc.2023.037436 - 29 April 2023

Abstract Education quality has undoubtedly become an important local and international benchmark for education, and an institute’s ranking is assessed based on the quality of education, research projects, theses, and dissertations, which has always been controversial. Hence, this research paper is influenced by the institutes ranking all over the world. The data of institutes are obtained through Google Scholar (GS), as input to investigate the United Kingdom’s Research Excellence Framework (UK-REF) process. For this purpose, the current research used a Bespoke Program to evaluate the institutes’ ranking based on their source. The bespoke program requires changes… More >

Zhanyang Xu¹, Jianchun Cheng^1,*, Luofei Cheng¹, Xiaolong Xu^1,2, Muhammad Bilal³

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5573-5595, 2023, DOI:10.32604/cmc.2023.037287 - 29 April 2023

Abstract Federated learning has been used extensively in business innovation scenarios in various industries. This research adopts the federated learning approach for the first time to address the issue of bank-enterprise information asymmetry in the credit assessment scenario. First, this research designs a credit risk assessment model based on federated learning and feature selection for micro and small enterprises (MSEs) using multi-dimensional enterprise data and multi-perspective enterprise information. The proposed model includes four main processes: namely encrypted entity alignment, hybrid feature selection, secure multi-party computation, and global model updating. Secondly, a two-step feature selection algorithm based… More >

Bo Yang¹, Yulin Li¹, Yaxing Ren², Yixuan Chen³, Xiaoshun Zhang⁴, Jingbo Wang^5,*

Energy Engineering, Vol.120, No.6, pp. 1287-1293, 2023, DOI:10.32604/ee.2023.027801 - 03 April 2023

Abstract This article has no abstract. More >

Kyungmin Sim, Jeong Hyun Yi, Haehyun Cho^*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3257-3274, 2023, DOI:10.32604/cmc.2023.036695 - 31 March 2023

Abstract Despite the advances in automated vulnerability detection approaches, security vulnerabilities caused by design flaws in software systems are continuously appearing in real-world systems. Such security design flaws can bring unrestricted and misimplemented behaviors of a system and can lead to fatal vulnerabilities such as remote code execution or sensitive data leakage. Therefore, it is an essential task to discover unrestricted and misimplemented behaviors of a system. However, it is a daunting task for security experts to discover such vulnerabilities in advance because it is time-consuming and error-prone to analyze the whole code in detail. Also,… More >

Ming Cheng¹, Shiming Li^1,3,*, Yuhe Wang¹, Guohui Zhou¹, Peng Han¹, Yan Zhao²

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2527-2555, 2023, DOI:10.32604/cmc.2023.036427 - 31 March 2023

Abstract To address the problem of network security situation assessment in the Industrial Internet, this paper adopts the evidential reasoning (ER)algorithm and belief rule base (BRB) method to establish an assessment model. First, this paper analyzes the influencing factors of the Industrial Internet and selects evaluation indicators that contain not only quantitative data but also qualitative knowledge. Second, the evaluation indicators are fused with expert knowledge and the ER algorithm. According to the fusion results, a network security situation assessment model of the Industrial Internet based on the ER and BRB method is established, and the… More >

Sultan Mesfer Aldossary^*

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3387-3404, 2023, DOI:10.32604/iasc.2023.035249 - 15 March 2023

Abstract With the emergence of cloud technologies, the services of healthcare systems have grown. Simultaneously, machine learning systems have become important tools for developing matured and decision-making computer applications. Both cloud computing and machine learning technologies have contributed significantly to the success of healthcare services. However, in some areas, these technologies are needed to provide and decide the next course of action for patients suffering from diabetic kidney disease (DKD) while ensuring privacy preservation of the medical data. To address the cloud data privacy problem, we proposed a DKD prediction module in a framework using cloud… More >

Xiaotong Liu^1,#, Muhammad Amjad Bashir^2,3,#, Yucong Geng⁴, Qurat-Ul-Ain Raza², Abdur Rehim², Muhammad Aon², Jianhang Luo¹, Ying Zhao¹, Xuejun Zhang^1,*, Hongbin Liu^4,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1555-1570, 2023, DOI:10.32604/phyton.2023.026735 - 09 March 2023

Abstract

The increasing world population has forced excessive chemical fertilizer and irrigation to complete the global food demand, deteriorating the water quality and nutrient losses. Short-term studies do not compile the evidences; therefore, the study aimed to identify the effectiveness of reduced doses of inorganic fertilizer and water-saving practices, hence, a six-year experiment (2015–2020) was conducted in China to address the knowledge gap. The experimental treatments were: farmer accustomed fertilization used as control (525:180:30 kg NPK ha⁻¹), fertilizer decrement (450:150:15 kg NPK ha⁻¹), fertilizer decrement + water-saving irrigation (450:150:15 kg NPK ha⁻¹), application of organic and inorganic fertilizer

… More >

Jameel M. Al-Khayri^1,*, Salha M. Alshamrani², Adel A. Rezk¹, Wael F. Shehata¹, Mustafa I. Almaghasla³, Tarek A. Shalaby^3,4, Ahmed M. Saad⁵, Fatmah A. Safhi⁶, Muhammad N. Sattar⁷, Arafat A. Abdel Latef⁸, Mahmoud Z. Sitohy⁵, Abdallah A. Hassanin^9,*

Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1493-1512, 2023, DOI:10.32604/phyton.2023.027375 - 09 March 2023

Abstract Appropriate knowledge of the parental cultivars is a pre-requisite for a successful breeding program. This study characterized fruit yield, quality attributes, and molecular variations of ten tomato cultivars during three consecutive generations under greenhouse conditions. Peto 86, Castle Rock, and Red Star cultivars showed the highest fruit yield (kg/plant), total phenolic compounds (TPC), and sap acidity. Principal component analysis categorized the evaluated fruit yield into three groups based on their quality attributes. A robust positive correlation appeared among traits inside each group. A positive correlation was likewise noticed between the first and the second groups.… More >