Brij B. Gupta^1,2,3,4,*, Akshat Gaurav⁵, Varsha Arya^6,7, Razaz Waheeb Attar⁸, Shavi Bansal⁹, Ahmed Alhomoud¹⁰, Kwok Tai Chui¹¹

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2165-2183, 2024, DOI:10.32604/cmes.2024.056473 - 31 October 2024

Abstract Phishing attacks present a serious threat to enterprise systems, requiring advanced detection techniques to protect sensitive data. This study introduces a phishing email detection framework that combines Bidirectional Encoder Representations from Transformers (BERT) for feature extraction and CNN for classification, specifically designed for enterprise information systems. BERT’s linguistic capabilities are used to extract key features from email content, which are then processed by a convolutional neural network (CNN) model optimized for phishing detection. Achieving an accuracy of 97.5%, our proposed model demonstrates strong proficiency in identifying phishing emails. This approach represents a significant advancement in More >

Xingzi Yang¹, Wei Gao², Xiaodu Wang¹, Xiaowei Zeng^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1299-1313, 2024, DOI:10.32604/cmes.2024.049371 - 20 May 2024

Abstract The bioinspired nacre or bone structure represents a remarkable example of tough, strong, lightweight, and multifunctional structures in biological materials that can be an inspiration to design bioinspired high-performance materials. The bioinspired structure consists of hard grains and soft material interfaces. While the material interface has a very low volume percentage, its property has the ability to determine the bulk material response. Machine learning technology nowadays is widely used in material science. A machine learning model was utilized to predict the material response based on the material interface properties in a bioinspired nanocomposite. This model More >

Yongqiu Liu¹, Shaohui Zhong^2,*, Nasreen Kausar³, Chunwei Zhang^4,*, Ardashir Mohammadzadeh⁴, Dragan Pamucar^5,6

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 793-812, 2024, DOI:10.32604/cmes.2023.028175 - 22 September 2023

Abstract In this paper, a stable and adaptive sliding mode control (SMC) method for induction motors is introduced. Determining the parameters of this system has been one of the existing challenges. To solve this challenge, a new self-tuning type-2 fuzzy neural network calculates and updates the control system parameters with a fast mechanism. According to the dynamic changes of the system, in addition to the parameters of the SMC, the parameters of the type-2 fuzzy neural network are also updated online. The conditions for guaranteeing the convergence and stability of the control system are provided. In More >

Muhammad Shoaib Arif^1,2,*, Kamaleldin Abodayeh¹, Asad Ejaz²

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1719-1743, 2023, DOI:10.32604/cmes.2022.022235 - 27 October 2022

Abstract Cases of COVID-19 and its variant omicron are raised all across the world. The most lethal form and effect of COVID-19 are the omicron version, which has been reported in tens of thousands of cases daily in numerous nations. Following WHO (World health organization) records on 30 December 2021, the cases of COVID-19 were found to be maximum for which boarding individuals were found 1,524,266, active, recovered, and discharge were found to be 82,402 and 34,258,778, respectively. While there were 160,989 active cases, 33,614,434 cured cases, 456,386 total deaths, and 605,885,769 total samples tested. So… More >

Tong An^1,2,*, Rui Zhou^1,2, Fei Qin^1,2,*, Pei Chen^1,2, Yanwei Dai^1,2, Yanpeng Gong^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1481-1502, 2023, DOI:10.32604/cmes.2023.022475 - 27 October 2022

Abstract A micromechanical model is presented to study the initiation and propagation of microcracks of intermetallic compounds (IMCs) in solder joints. The effects of the grain aggregate morphology, the grain boundary defects and the sensitivity of the various cohesive zone parameters in predicting the overall mechanical response are investigated. The overall strength is predominantly determined by the weak grain interfaces; both the grain aggregate morphology and the weak grain interfaces control the crack configuration; the different normal and tangential strengths of grain interfaces result in different intergranular cracking behaviors and play a critical role in determining More >

Fawaz Alassery¹, Ahmed Alzahrani², Asif Irshad Khan², Ashi Khan^3,*, Mohd Nadeem⁴, Md Tarique Jamal Ansari⁴

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1701-1715, 2022, DOI:10.32604/iasc.2022.023314 - 09 December 2021

Abstract A large number of people live in diabetes worldwide. Type-2 Diabetes (D2) accounts for 92% of patients with D2 and puts a huge burden on the healthcare industry. This multi-criterion medical research is based on the data collected from the hospitals of Uttar Pradesh, India. In recent times there is a need for a web-based electronic system to determine the impact of mental health in D2 patients. This study will examine the impact assessment in D2 patients. This paper used the integrated methodology of Fuzzy Analytic Hierarchy (FAHP) and Fuzzy Technique for Order Performance by… More >

Adil Hussain Seh¹, Jehad F. Al-Amri², Ahmad F. Subahi³, Md Tarique Jamal Ansari¹, Rajeev Kumar^4,*, Mohammad Ubaidullah Bokhari⁵, Raees Ahmad Khan¹

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 469-489, 2022, DOI:10.32604/cmc.2022.019593 - 07 September 2021

Abstract Transformation from conventional business management systems to smart digital systems is a recurrent trend in the current era. This has led to digital revolution, and in this context, the hardwired technologies in the software industry play a significant role However, from the beginning, software security remains a serious issue for all levels of stakeholders. Software vulnerabilities lead to intrusions that cause data breaches and result in disclosure of sensitive data, compromising the organizations’ reputation that translates into, financial losses as well. Most of the data breaches are financially motivated, especially in the healthcare sector. The… More >

Shakeel Ahmed^*, Abdulaziz Alhumam

Computer Systems Science and Engineering, Vol.37, No.1, pp. 1-18, 2021, DOI:10.32604/csse.2021.015775 - 05 February 2021

Abstract This article evaluates the security techniques that are used to maintain the healthcare devices, and proposes a mathematical model to list these in the order of priority and preference. To accomplish the stated objective, the article uses the Fuzzy Analytic Network Process (ANP) integrated with Technical for Order Preference by Similarities to Ideal Solution (TOPSIS) to find the suitable alternatives of the security techniques for securing the healthcare devices from trespassing. The methodology is enlisted to rank the alternatives/ techniques based on their weights’ satisfaction degree. Thereafter, the ranks of the alternatives determine the order More >

Lijian Xu¹, Tianyang Yang², Lekang Yin³, Ye Kong², Yuri Vassilevski^4,5, Fuyou Liang^1,5,6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.2, pp. 509-526, 2020, DOI:10.32604/cmes.2020.010719 - 20 July 2020

Abstract Computational modeling methods have been increasingly employed to quantify aortic hemodynamic parameters that are challenging to in vivo measurements but important for the diagnosis/treatment of aortic disease. Although the presence of turbulence-like behaviors of blood flow in normal or diseased aorta has long been confirmed, the majority of existing computational model studies adopted the laminar flow assumption (LFA) in the treatment of sub-grid flow variables. So far, it remains unclear whether LFA would significantly compromise the reliability of hemodynamic simulation. In the present study, we addressed the issue in the context of a specific aortopathy,… More >

Viviane Timmermann¹, Kevin Vincent², Joakim Sundnes¹, Andrew D. McCulloch^2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 133-133, 2019, DOI:10.32604/mcb.2019.07311

Abstract Heterogeneous mechanical dyskinesis has been implicated in arrhythmogenic phenotypes. Strain-induced perturbations to cardiomyocyte electrophysiology (EP) may trigger arrhythmias via a variety of mechano-electric feedback (MEF) mechanisms. While the role of stretch-activated ionic currents (SACs) has been investigated intensively using computational models, experimental studies have shown that mechanical strain can also trigger intra- and inter-cellular calcium waves. To investigate whether the inherent strain dependence of myofilament calcium affinity may promote arrhythmogenic intra- and inter-cellular calcium waves under conditions of pathologic mechanical heterogeneity, we coupled a mathematical model of excitation-contraction coupling (ECC) in rabbit ventricular myocytes to… More >