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Corrigendum to “Independently controlled multifrequency rejection bands in a broadband filter design using shorted T-shaped stub loaded resonator with central square ring” Alexandria Eng. J. 92 (2024) Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Abdul Basit, Guoqiang Zhang, Amil Daraz, Farid Zubir, Najmus saqib, Muhammad Irshad Khan, Salman A. AlQahtani, Atif M. Alamri
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A robust medical image cryptosystem based on hyperbolic chaotic system and circular bit-shifting-flipping techniques Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Sujarani Rajendran, Chanthini Baskar, Gugapriya G., Supriya Sridharan
Due to the hasty growth of digital technology, securing medical images for transmission and storage is a significant issue. Information on the texture of medical images is essential for diagnosis. Hence, protecting these content has become a great challenge in the e-Healthcare system. So, we propose a novel dynamic circular bit shifting and bit-flipping process in the diffusion phase of the image cryptosystem
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Foundation of a new technique for geometric and non-geometric multi-shapes similarities degrees using boundary unfolding transformation with applications Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Mona A. Ahmed, Omar M. Salim, Mahmoud Adel Hassan, Hassen Taher Dorrah, Walaa Ibrahim Gabr
This paper presents a novel approach for measuring multi-shapes degrees of similarities. A new shape transformation concept is suggested through mapping the closed boundary of the shape using unfolded process into one-to-one equivalent graph (or signal) where ample number of approaches for similarity testing can be applied. The degree of similarity is then measured by calculating the discrepancies
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Analytic prediction for acceptable pricing in industry interaction with complex network evolution based on knowledge graph fusion Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Majed Abdullah Alrowaily, Charles Z. Liu, Mansoor Alghamdi, Omar Alruwaili, Ibrahim Alkhazi, Ibrahim Alrashdi
This paper proposes a trend prediction analysis method based on the evolution of knowledge graph fusion for the analysis of price fluctuation trends with limited information and lacking historical data. Based on an actual business case, the article first establishes a knowledge graph and corresponding data model based on the price analysis and application scenarios in business decision-making and based
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Flood classification and prediction in South Sudan using artificial intelligence models under a changing climate Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Mohamed El-Sayed El-Mahdy, Farid Ali Mousa, Fawzia Ibraheem Morsy, Abdelmonaim Fakhry Kamel, Attia El-Tantawi
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Handover management procedures for future generations mobile heterogeneous networks Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Safak Sonmez, Kenan Furkan Kaptan, Muhammet Ali Tunç, Ibraheem Shayea, Ayman A. El-Saleh, Bilal Saoud
Handover (HO) management in Heterogeneous Networks (HetNets) poses challenges arising from network densification and dynamic environmental behaviors. Existing HO decision algorithms struggle to efficiently utilize network resources and ensure a high-quality user experience amidst the complexity of HetNets and the burgeoning growth of mobile users. This paper introduces a robust and data-driven HO decision
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Dynamical behavior of Lakshamanan-Porsezian-Daniel model with spatiotemporal dispersion effects Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 Amjad Hussain, Naseem Abbas, Shafiullah Niazai, Ilyas Khan
The dynamical behavior of the Lakshamanan-Porsezian-Daniel (LPD) model with applications in nonlinear optics is uncovered in this paper. The incorporation of spatio-temporal dispersion into the model, addressing the internet bottleneck issue, is emphasized. A planar dynamical system (DS) is accounted for by applying the Galilean transformation to the considered model. All types of phase portraits are
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Fault detection in analog electronic circuits using fuzzy inference systems and particle swarm optimization Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-17 M.I. Dieste-Velasco
Fault detection in analog circuits is of great importance to predict the correct operation of the circuit. For this purpose, soft computing techniques such as those based on the application of fuzzy inference systems stand out. However, given the large variability that can exist in analog circuits due to component tolerance, the initial fuzzy inference system (FIS) may not be able to accurately diagnose
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Optuna-DFNN: An Optuna framework driven deep fuzzy neural network for predicting sintering performance in big data Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Yifan Li, Yanpeng Cao, Jintang Yang, Mingyu Wu, Aimin Yang, Jie Li
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Broadband CP corner-truncated microstrip antenna with irregularly hexagonal AMC for 2.45 GHz applications Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Purichaya Wichaidit, Sitthichai Dentri, Pisit Janpangngern, Titipong Lertwiriyaprapa, Monai Krairiksh, Chuwong Phongcharoenpanich
This research proposes a compact broadband circularly polarized (CP) corner-truncated microstrip antenna with irregularly hexagonal artificial magnetic conductor (AMC) for 2.45 GHz WLAN applications. The corners of the radiating patch are diagonally truncated to realize circular polarization and improve axial ratio. A 5▪5 irregularly hexagonal AMC array is employed to enhance the axial ratio bandwidth
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Stability analysis and optimal control of a generalized SIR epidemic model with harmonic mean type of incidence and nonlinear recovery rates Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Sant Ram Chawla, Saeed Ahmad, Asaf Khan, Wedad Albalawi, Kottakkaran Sooppy Nisar, Hegagi M. Ali
A challenging epidemiological dynamic model with harmonic rate of incidence and nonlinear rate of recovery is developed to examine the effects of available beds in hospitals and intervention decrease upon the propagation of viral disease. The incorporation of the harmonic mean as an incidence rate is the novelty of the present manuscript. The assumed incidence rate is less sensitive to the larger values
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Designing of an effective e-learning website using inter-valued fuzzy hybrid MCDM concept: A pedagogical approach Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Mohammed Abdulwahab Al-Gerafi, Shankha Shubhra Goswami, Mohammad Amir Khan, Quadri Noorulhasan Naveed, Ayodele Lasisi, Abdulaziz AlMohimeed, Ahmed Elaraby
The demand for effective e-learning platforms requires prioritizing pedagogical excellence in online educational websites. Current approaches struggle with uncertainties, hindering optimal e-learning environments due to a lack of comprehensive evaluation in traditional methods. An integrated approach is crucial to avoid inefficiencies and incomplete understanding of learner needs. This research introduces
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Competitive adsorption of CO2/CH4 on coal: Insights from thermodynamics Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Kaibo Huang, Xidong Du, Kegang Li, Junping Zhou, Dengfeng Zhang, Naeem Abbas, Yugang Cheng, Tengfei Wu, Guojun Liu, Chong He
The main reason for CO enhanced coalbed methane recovery is the competitive adsorption of CO and CH on coal. Therefore, it is necessary to study the equilibrium adsorption of CO, CH and their mixed gases on coal over a wide range of pressures. This work investigates the mechanism adsorption of CO/CH on coal by thermodynamics. The findings indicate that CO demonstrates a greater increase in Gibbs free
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Enhancement of in-vitro cellular structure morphology imaging using multiwavelength confocal endoscopic scanner Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Yang Sing Leong, Mohd Hadri Hafiz Mokhtar, Mohd Saiful Dzulkefly Zan, Norhana Arsad, Farinawati Yazid, Ahmad Ashrif A. Bakar
Optical imaging is crucial for cell examination, but its instruments' bulky optics limit their flexibility, and a single wavelength provides limited sample information. This paper presents a fibre cantilever-based endoscopic scanner for multiwavelength reflectance confocal microscopy. The scanner utilises the dual-core fibre cantilever to produce Lissajous scans while accommodating two distinct wavelengths
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Effect of shape-imperfections on fatigue life of elbows under in-plane cyclic loading Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 K. Srikanth, T.Christo Michael
The elbows play a critical role in industrial and power plant systems. To ensure operational safety, extensive research has been conducted on the fatigue behaviour of pipe bends. This study focuses on evaluating the low-cycle fatigue life of elbows, with particular emphasis on investigating the influence of shape imperfections, namely ovality and thinning. Initially, a validation study is carried out
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Simulating the models of Tsikkou and Wang via mR scheme in chromatography Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Hesham G. Abdelwahed, Refaat Sabry, Mahmoud A.E. Abdelrahman, Kamel Mohamed
We investigate two systems of conservation laws that explain the chemistry process of isolating a single component from a mixture using column chromatography. We design the modified Rusanov (mR) approach for solving these chromatography models. This approach is separated into two phases, the first of which is controlled by a local parameter. The conservation equation is recovered in stage two. This
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Study on electrochemical sensor for sunitinib cancer medicine based on metal-organic frameworks and carbon nanotubes nanocomposite Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Chen Zhang, Lingjiang Li
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Geophysical electrical potential inversion for grouting remote monitoring of coal mine double-layered wellbores Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Benyu Su, Haiping Yang, Grzegorz Królczyk, Quanwei Yang, Shengdong Liu, Patrick Siarry, Z. Li
This work aims to remotely monitor the grouting process of double-layered wellbores in deep coal mining area by proposing a new geophysical electrical potential inversion imaging method. The proposed geophysical method is able to evaluate the grouting quality between the inner and outer walls of the wellbores by inverting the geologic electrical potential. Th challenge lies here in the potential inversion
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Analysis of ground volume loss for EPB shield tunneling in thick silty clay layer Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Xuening Rong, Lirong Gao, Aimin Han, Jiaqi Wu, Xuan Wu, Gang Jiang
Ground volume loss is an important parameter for settlement control and prediction in shield tunneling. This parameter is usually determined empirically, while its variation along the tunnel is not predictable. In this study, an analytical formula for ground volume loss is obtained based on physical derivation. The ground volume loss is divided into two components. Key operational parameters, i.e.
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A novel distributional approach based on the trigonometric function with medical data sets Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Yusra A. Tashkandy, Assem Elshenawy, Getachew Mekiso Tekle, M.E. Bakr, Oluwafemi Samson Balogun
Statistical methods have widespread applications in real-life scenarios. Researchers have expressed keen interest in implementing different functions to raise new probability distributions. However, very limited efforts have been made to raise new methodologies by applying trigonometric functions. In this paper, we propose a new method based on the trigonometric function. The suggested trigonometric-based
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U-Net for genomic sequencing: A novel approach to DNA sequence classification Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-16 Raghad K. Mohammed, Azmi Tawfeq Hussein Alrawi, Ali Jbaeer Dawood
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Study on the nonlinear viscoelastic behavior of rubber composites filled with silica Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-15 Pan Wang, Peijin Liu, Wen Ao
Silica-filled rubber composites exhibit nonlinear viscoelastic behavior depending on filler dispersion and matrix interaction. This study investigated the effects of silane treatment on dynamic mechanical properties of precipitated and fumed silica-reinforced polybutadiene rubber composites. The silane coupling agent improved filler dispersion and interfacial adhesion as characterized by microscopy
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Analysis and control of split-source current-type inverter for grid-connected applications Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-12 Mohamed G. Abdel-Moneim, Mostafa S. Hamad, Ayman S. Abdel-Khalik, Ragi R. Hamdy, Eman Hamdan, Shehab Ahmed
Current source inverters (CSIs) have been widely used for renewable energy sources integration with the utility grid. However, traditional CSIs provide only voltage-boost power conversion, which can be considered a limitation for grid-interfacing applications when consistent tracking of a widely varying input voltage is necessary. Hence, an additional front-end converter is usually utilized in an attempt
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Assessment of the spermatozoa transports between porous cervical walls continuously secreting Jeffrey fluid in human cervical canal Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-12 Ahsan Walait, A.M. Siddiqui, M.A. Rana, H. Ashraf, Nehad Ali Shah, Yongseok Jeon
Understanding spermatozoa transportation in the human female cervical canal, particularly in relation to the fertilization process, holds significant physiological importance. Present paper accords with the assessment of the self-propelling sheet of spermatozoa (SPSS) between porous cervical walls continuously secreting viscoelastic mucus in the human cervical canal (HCC). Mathematical modelling of
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Application of Al2O3 ceramic for a circularly polarized filtering antenna Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Ke Xia, Hai-Feng Zhang
The application of ceramic for a circularly polarized (CP) filtering antenna is studied in this paper. The dielectric resonator (DR) of sintered aluminum oxide (AlO) ceramic has a dielectric constant of 9.5 and low dielectric loss of 0.003, and excellent mechanical properties. The dielectric resonator antenna (DRA) consists of two parts, the upper part is a DR, and the lower part uses a feeding network
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Electromagnetic and Darcy-Forchheimer porous model effects on hybrid nanofluid flow in conical zone of rotatable cone and expandable disc Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Taghreed H. Al-arabi, Mohamed R. Eid, Reima Daher Alsemiry, Sana Abdulkream Alharbi, Reem Allogmany, Essam M. Elsaid
Primary objective of this examination is to discover hybridized nanofluid flowing and heat transport that flows between a rotatable cone positioned above an expandable disc. Hybridized nanofluid contains Cadmium telluride (CdTe) as first nanoparticle and Silicon carbide (SiC) as second nanoparticle in ethylene glycol as base fluid. Electromagnetic impact and Darcy-Forchheimer model are considered with
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A new approach for improving the quality of the carbon anode for aluminum electrolysis – An impregnation-baking process Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Wenyuan Hou, Mao Li, Lei Liu, Hesong Li
Prebaked carbon anode is the primary consumable material in the aluminum reduction cell, and its quality directly affects the energy consumption of aluminum production. An impregnation-baking process of the anode was proposed to reduce the anode porosity, improve the quality of the anodes, and reduce additional carbon consumption. The theoretical analysis and industrial testing on the impregnation-baking
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Electrochemical detection of blood doping in sports: A novel biosensor based on nickel oxide/nitrogen-doped graphene oxide nanocomposite Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Yan Li, Weina Liu
This paper presents a novel sensor for the electrochemical detection of ephedrine (EPD), a precursor compound used in the illicit production of amphetamines and related drugs. The sensor is based on a modified glassy carbon electrode (GCE) modified with nickel oxide/nitrogen-doped graphene oxide nanocomposite (NiO/NGO). The NiO/NGO nanocomposite was created hydrothermally and examined using scanning
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Application of Darbo-type generalized θ-[formula omitted]-contractions to the fractional order Lymphatic filariasis infection model Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Mian Bahadur Zada, Haroon Rashid, Muhammad Sarwar, Kamaleldin Abodayeh
This work presents a significant contribution to the field of mathematical analysis by introducing --contractions of Darbo-type. These newly introduced contractions serve as pivotal tools within our study. By employing these contractions, we systematically establish several pivotal fixed point theorems that allow us to guarantee the existence of fixed points in the Banach spaces. We construct particular
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A novel approach to detect salbutamol as a doping agent in athletes: A nanoparticle-modified electrode Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Yan Zhang
This study successfully demonstrated a novel approach for the detection of salbutamol (SBM), a common doping drug in sports, using TbO nanoparticles and a reduced graphene oxide (TbO/RGO) nanocomposite. The electrode modified with the TbO/RGO nanocomposite exhibited remarkable selectivity, stability, and reproducibility, indicating its potential as a useful instrument for real-world uses. When used
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On fitting and forecasting the log-returns of Bitcoin and Ethereum exchange rates via a new sine-based logistic model and robust regression methods Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-10 Yiming Zhao, Sultan Salem, Areej M. AL-Zaydi, Jin-Taek Seong, Fatimah M. Alghamdi, M. Yusuf
Among the different financial sectors, the modeling and forecasting of log-returns of cryptocurrency have received considerable attention. Numerous statistical models have been put forward to analyze the log returns of the cryptocurrency. However, as per our knowingness and immense literature search, we did not find published shreds of evidence about modeling cryptocurrency's log-returns while manipulating
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Effect of ethylene vinyl acetate foam-graphene composite material on the mechanical properties of sports footwear Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-09 Qi Hao, Zhixin Yao, Woong Jae Choi, Hongseol Kim
Ethylene vinyl acetate (EVA) foam is widely used as midsole material in athletic footwear due to its lightweight and cushioning properties. However, EVA foam suffers from low mechanical strength, abrasion resistance, and fatigue resistance. Reinforcing EVA foam with graphene nanoplatelets is a promising approach to improving its mechanical performance for footwear applications. This study investigated
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Green synthesis approach: Utilizing chrysanthemum extract as reducing and stabilizing agent for the fabrication of silver nanoparticles and their antimicrobial properties study Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-09 Chao Wu, Juan Peng, Tingting Song, Manman Fu
This research explores the eco-friendly synthesis of silver nanoparticles (AgNPs) using Chrysanthemum extract, emphasizing its application in antimicrobial treatments. The study primarily focused on assessing the effect of extract concentration on nanoparticle characteristics. The synthesized AgNPs, at higher Chrysanthemum extract concentrations (up to 15%), exhibited a notable decrease in size, from
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Harmonizing power systems with a 13-level modified Packed U-Cells multi-level inverter: Design and implementation Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-09 Sherouk Fouda, Marwa S. Salem, Ahmed Saeed, Ahmed Shaker, M. Abouelatta, M. Abou El-Ela
Traditional multilevel inverter designs often face complexity challenges, prompting the need for a simplified solution. This study introduces and evaluates the performance of a Modified Packed U-Cells (MPUC) inverter in the realm of multilevel inverter technology. The study addresses challenges associated with conventional multilevel inverters and proposes the MPUC inverter as a solution to simplify
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Impact of suction and thermal radiation on unsteady ternary hybrid nanofluid flow over a biaxial shrinking sheet Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-09 Nur Syahirah Wahid, Norihan Md Arifin, Rusya Iryanti Yahaya, Najiyah Safwa Khashi’ie, Ioan Pop
The use of hybrid nanofluids in practical applications is pivotal for enhanced heat transfer efficiency especially for electronics cooling, and manufacturing processes. This study delves into numerically investigating the unsteady water-based (alumina+copper+titanium dioxide) ternary hybrid nanofluid flow over a permeable biaxial shrinking sheet, considering the influence of thermal radiation. The
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E-government impact on developing smart cities initiative in Saudi Arabia: Opportunities & challenges Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-08 Hasan Hashim
Information and communication technologies (ICT) have a recent impact on governance and public administration. Electronic government (e-government) services were created to streamline administrative processes and enhance citizen engagement on the one hand, and to build new governance models that would empower individuals, involve them in the decision-making process, and increase transparency on the
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Enhancing electrical panel anomaly detection for predictive maintenance with machine learning and IoT Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-08 Muhammed Fatih Pekşen, Ulaş Yurtsever, Yılmaz Uyaroğlu
This study aims to detect electrical panel fires using the Internet of Things (IoT) framework and Machine Learning (ML) algorithms. Within the scope of the study, an experimental process was carried out using Arduino and Raspberry Pi platforms to collect essential data such as gas, temperature, and humidity. In this experimental work conducted on 3478 data points to detect electrical panel fires, Decision
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A new probabilistic model with mixed-state failure rates: Modeling time-to-event scenarios in reliability and music engineering Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-08 Xiaochun Liu, Jian Ji, Afaf Alrashidi, Fatimah A. Almulhim, Etaf Alshawarbeh, Jin-Taek Seong
We consider and implement a new contemporary and state-of-the-art probabilistic model with optimal data modeling capabilities. We call the present probabilistic model a new beta power flexible Weibull distribution. It is obtained by using the flexible Weibull distribution together with the new beta power transformed method. The flexibility of the new model is explored visually. The visual inspection
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Fabrication of a novel electrochemical sensing platform for voltammetric screening of prednisolone as a doping agent in sport Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-08 Zhigang Wu, Xiru Du, Jie Zhang
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TDITI: A time-delay information transfer index algorithm for corticomuscular coupling Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-08 Haohao Zhang, Xiaoling Chen, Shuzhen Liu, Zhiqi Mao, Xinguang Yu
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Insights into thermally-induced disruption of magnetic-nanoparticle agglomerates Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-06 Bailin Cheng, Junpei Sakurai, Seiichi Hata, Chiemi Oka
We investigated the temperature dependence of agglomeration systems consisting of interacting single-domain magnetic nanoparticles (MNPs). In our study, we utilized electron spin resonance (ESR) experiments to measure how temperature-induced change in agglomerate state affects the peak-to-peak width of ESR spectra (H) and validated these observations through simulations. Micromagnetic simulations were
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Self-adaptive attribute weighted neutrosophic c-means clustering for biomedical applications Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-06 Zhe Liu, Haoye Qiu, Sukumar Letchmunan
The applications of clustering in biomedical is pervasive and ubiquitous. A typical example is gene expression data analysis, where clustering is emerging as a powerful solution for uncovering cancer-related insights. Neutrosophic -means (NCM) clustering has advantages over other conventional clustering methods in characterizing the uncertainty and imprecision caused by cluster overlap and identifying
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The new kink type and non-traveling wave solutions of (3+1)-dimensional Boiti-Leon-Manna-Pempinelli equation Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-06 Chunxiao Guo, Yanfeng Guo, Zhouchao Wei, Lihui Gao
In this paper, the new solitary wave solutions of the (3+1)-dimensional Boiti-Leon-Manna-Pempinelli equation are obtained by Lie group symmetry method and the extended homoclinic test approach. Firstly, the equation can be reduced to (1+1)-dimensional partial differential equation by Lie group symmetry, and corresponding bilinear forms of the equation are given by symmetry functions. Secondly, the
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Boosting wind turbine performance with advanced smart power prediction: Employing a hybrid ARMA-LSTM technique Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-06 Abdel-Haleem Abdel-Aty, Kottakkaran Sooppy Nisar, Wedad R. Alharbi, Saud Owyed, Mohammed H. Alsharif
Wind energy holds significant importance among renewable energy sources, necessitating precise power forecast systems for the operation of wind turbines. In order to meet the urgent requirement for accurate power forecasting in wind energy production, this study introduces a revolutionary Smart Power Prediction System designed especially for wind turbines. The suggested approach introduces a hybrid
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The enhancement of engineering characteristics in recycled aggregates concrete combined effect of fly ash, silica fume and PP fiber Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-06 Mohammad Alharthai, Tariq Ali, Muhammad Zeeshan Qureshi, Hawreen Ahmed
In today's world, enhancing the performance of recycled aggregate concrete is an essential need, as it ensures the effective utilization of demolished construction waste. The advantages of fly ash and polypropylene fiber in conventional strength concrete are well known. However Further research is required to evaluate the impact of using fly ash, silica fume and polypropylene fiber in case of RA and
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An improved Mickens’ solution for nonlinear vibrations Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-06 M.M. Ayub Hossain, B.M. Ikramul Haque
The Duffing equation and other nonlinear equations of motion of nonlinear vibrations are widely applied in the fields of engineering and science, especially mechanical and electrical engineering. The modified Mickens extended iteration method has been utilized in this article to investigate for further accurate solutions to the Duffing equation and an equation of motion of nonlinear vibrations. The
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Bullen-Mercer type inequalities with applications in numerical analysis Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-05 Miguel Vivas–Cortez, Muhammad Zakria Javed, Muhammad Uzair Awan, Muhammad Aslam Noor, Silvestru Sever Dragomir
In mathematical analysis theory of inequalities has considerable influence due to its massive utility in various fields of physical sciences. These are investigated via multiple approaches to acquire more precise and rectified forms of already celebrated consequences. Integral inequalities are investigated to compute the error bounds for quadrature schemes. Among all of them, one is Hermite-Hadamard
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Speed vs. efficiency: A framework for high-frequency trading algorithms on FPGA using Zynq SoC platform Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-05 Abbas Ali, Abdullah Shah, Azaz Hassan Khan, Malik Umar Sharif, Zaka Ullah Zahid, Rabia Shahid, Tariqullah Jan, Mohammad Haseeb Zafar
Software-based technical indicators have been widely used for the stock market forecasting, aiming to predict market direction. Even though many algorithms for the software based technical indicators are presented, there are almost no hardware implementations reported in the literature. In this paper, the hardware implementation is presented for three commonly used technical indicators: Moving Average
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World heritage sites management as approach to improving quality of life: Memphis and its Necropolis as a case study Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-05 Amira A. Elbahy, Sherif A. sheta, Mohanad A. Fouda
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Analysis of recent decade rainfall data with new exponential-exponential distribution: Inference and applications Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Hleil Alrweili
This study introduces the New Exponential-Exponential Distribution (NEED) within the broader New Exponential-Generating (NE-G) family of distributions, targeting enhancements in rainfall data analysis. The lies in addressing the need for sophisticated statistical models to accurately capture the complex variability of rainfall patterns, which are critical for effective environmental planning and disaster
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A review of fractional order epidemic models for life sciences problems: Past, present and future Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Kottakkaran Sooppy Nisar, Muhammad Farman, Mahmoud Abdel-Aty, Chokalingam Ravichandran
Both mathematics and science exhibit a reciprocally advantageous and close relationship. The undeniable significance of mathematics in diverse scientific fields, including electrical engineering, physics, biology, and medicine, is beyond dispute. Due to the multitude of applications of mathematical biology in the present era, scholars have demonstrated a marked intrigue in this specific realm. In the
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Hall current effect on molecules motion in viscous non-Newtonian power law fluid with Joule heating and fluxing model of Cattaneo-Christov Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Mohamed R. Eid, Mohamed Abd El-Aziz, Awatif J. Alqarni, Essam M. Elsaid
This study examines the molecules motion influences and thermal attributes in power-law non-Newtonian dissipative fluids' magnetohydrodynamic behavior, Joule heating, electromigration, and Cattaneo-Christov effects. Effects of Hall on both flow velocity and temperature, as well as the heat transport are considered. The investigation looks at heat transference that occurs when there is a slippage consequence
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A graphene oxide-modified biosensor for non-invasive glucose monitoring in college athletes Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Li Chen, Yong Zhang, Tongyi Hu
The study aims to address the need for accurate and real-time monitoring of glucose levels in college athletes during physical activities. This work reports on the development of an electrochemical sensor that uses glucose oxidase (GOx) immobilized on PdO nanoparticles to reduce graphene oxide (rGO) nanocomposite printed on a cellulose substrate (GO/PdO-rGO/C-PE). The successful reduction of GO to
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Statistical inference of comparative generalized inverted exponential populations under joint adaptive progressive type-II censored samples Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Fatimah E. Almuhayfith
Design of efficient test plans to assessing product reliability rapidly, is a critical step to obtain product reliability accurately. In this paper, we are adopted the problem of statistical inference of two generalized inverted exponential populations in a competing duration. To save the balance between the optimal test time and the number of failures needing for statistical inference, joint adaptive
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Novel imputation methods under stratified simple random sampling Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Anoop Kumar, Shashi Bhushan, Manahil SidAhmed Mustafa, Ramy Aldallal, Hassan M. Aljohani, Fatimah A. Almulhim
This paper addresses some classes of combined and separate imputation methods (CSIMs) of the population mean under stratified simple random sampling (SSRS) along with their characteristics. To the best of our knowledge, these imputation methods (IMs) have yet not been studied by any author under SSRS, hence these IMs are called ‘novel’. In addition, the existing CSIMs are distinguished as the members
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The fractional soliton solutions of dynamical system arising in plasma physics: The comparative analysis Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-04 Waqas Ali Faridi, Mujahid Iqbal, Muhammad Bilal Riaz, Salman A. AlQahtani, Abdul-Majid Wazwaz
In light of fractional theory, this paper presents several new effective solitonic formulations for the Langmuir and ion sound wave equations. Prior to this study, no previous research has presented the comparision and obtained the generalized fractional soliton solutions of this kind with power law kernel and Mittag-Leffler kernel. The ion sound and Langmuir wave equations are essential in plasma
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A comprehensive review of recent methods for compactness and performance enhancement in 5G and 6G wearable antennas Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-03 Sahar Saleh, Tale Saeidi, Nick Timmons, Faroq Razzaz
Wearable antennas are important in many areas of our lives, including the Internet of Things (IoT), health care, sports, the automobile industry, security, and entertainment. Wearable antennas should be designed with a compact size in order to be readily integrated and conform to the body shape, as well as a high performance to withstand mechanical and environmental changes. 5 G and 6 G technologies
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A-stable spectral deferred correction method for nonlinear Allen-Cahn model Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-03 Lin Yao, Xindong Zhang
This paper presents a type of A-stable spectral deferred correction (SDC) method. The scheme is initiated by the first-order backward Euler method. We adopt the linear stabilization approach for the Allen-Cahn model to get the linear semi-implicit SDC scheme. This is done by the addition and subtraction of the linear stabilization operators that have been provided for the Allen-Cahn problem. The ranges
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Magnetohydrodynamic influence on fractional nanofluid convection in infinite vertical porous media with constant heat flux Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-03 Hui Liu, Changliang Li, Jingbo Sun
This study investigates the complex dynamics governing free convection flow in nanofluids under Magnetohydrodynamics (MHD) within a porous medium along an infinite vertical surface. We specifically focus on scenarios involving constant and uniform heat flux as well as heat sources. The governing equations, incorporating the Boussinesq approximation, continuity, and momentum equations, are formulated
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Observing the dynamics of urban growth of Al-Baha City using GIS (2006–2021) Alex. Eng. J. (IF 6.8) Pub Date : 2024-04-03 Abdulaziz Alzahrani, Naief Aldossary, Jamal Alghamdi
This study observes and records land cover changes in Al-Baha to track urban growth. The study develops a schematic vision of urban mass's current and future shape and distribution and its growth to achieve sustainable urban development, reduce service and social differences between city areas, and integrate urban and rural areas. The study uses inductive methods to monitor urban developments, population