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  • Open Access

    ARTICLE

    Reliability Analysis of HEE Parameters via Progressive Type-II Censoring with Applications

    Heba S. Mohammed1, Mazen Nassar2,3, Refah Alotaibi1, Ahmed Elshahhat4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2761-2793, 2023, DOI:10.32604/cmes.2023.028826

    Abstract A new extended exponential lifetime model called Harris extended-exponential (HEE) distribution for data modelling with increasing and decreasing hazard rate shapes has been considered. In the reliability context, researchers prefer to use censoring plans to collect data in order to achieve a compromise between total test time and/or test sample size. So, this study considers both maximum likelihood and Bayesian estimates of the Harris extended-exponential distribution parameters and some of its reliability indices using a progressive Type-II censoring strategy. Under the premise of independent gamma priors, the Bayesian estimation is created using the squared-error and general entropy loss functions. Due… More >

  • Open Access

    ARTICLE

    On a New Version of Weibull Model: Statistical Properties, Parameter Estimation and Applications

    Hassan Okasha1,2, Mazen Nassar1,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2219-2241, 2023, DOI:10.32604/cmes.2023.028783

    Abstract In this paper, we introduce a new four-parameter version of the traditional Weibull distribution. It is able to provide seven shapes of hazard rate, including constant, decreasing, increasing, unimodal, bathtub, unimodal then bathtub, and bathtub then unimodal shapes. Some basic characteristics of the proposed model are studied, including moments, entropies, mean deviations and order statistics, and its parameters are estimated using the maximum likelihood approach. Based on the asymptotic properties of the estimators, the approximate confidence intervals are also taken into consideration in addition to the point estimators. We examine the effectiveness of the maximum likelihood estimators of the model’s… More >

  • Open Access

    ARTICLE

    Computer Modelling of Compact 28/38 GHz Dual-Band Antenna for Millimeter-Wave 5G Applications

    Amit V. Patel1, Arpan Desai1, Issa Elfergani2,3,*, Hiren Mewada4, Chemseddine Zebiri5, Keyur Mahant1, Jonathan Rodriguez2, Raed Abd-Alhameed3

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2867-2879, 2023, DOI:10.32604/cmes.2023.026200

    Abstract A four-element compact dual-band patch antenna having a common ground plane operating at 28/38 GHz is proposed for millimeter-wave communication systems in this paper. The multiple-input-multiple-output (MIMO) antenna geometry consists of a slotted ellipse enclosed within a hollow circle which is orthogonally rotated with a connected partial ground at the back. The overall size of the four elements MIMO antenna is 2.24λ × 2.24λ (at 27.12 GHz). The prototype of four-element MIMO resonator is designed and printed using Rogers RT Duroid 5880 with εr = 2.2 and loss tangent = 0.0009 and having a thickness of 0.8 mm. It covers… More >

  • Open Access

    ARTICLE

    Edge Cloud Selection in Mobile Edge Computing (MEC)-Aided Applications for Industrial Internet of Things (IIoT) Services

    Dae-Young Kim1, SoYeon Lee2, MinSeung Kim2, Seokhoon Kim1,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2049-2060, 2023, DOI:10.32604/csse.2023.040473

    Abstract In many IIoT architectures, various devices connect to the edge cloud via gateway systems. For data processing, numerous data are delivered to the edge cloud. Delivering data to an appropriate edge cloud is critical to improve IIoT service efficiency. There are two types of costs for this kind of IoT network: a communication cost and a computing cost. For service efficiency, the communication cost of data transmission should be minimized, and the computing cost in the edge cloud should be also minimized. Therefore, in this paper, the communication cost for data transmission is defined as the delay factor, and the… More >

  • Open Access

    ARTICLE

    An Enhanced Intelligent Intrusion Detection System to Secure E-Commerce Communication Systems

    Adil Hussain1, Kashif Naseer Qureshi2,*, Khalid Javeed3, Musaed Alhussein4

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 2513-2528, 2023, DOI:10.32604/csse.2023.040305

    Abstract Information and communication technologies are spreading rapidly due to their fast proliferation in many fields. The number of Internet users has led to a spike in cyber-attack incidents. E-commerce applications, such as online banking, marketing, trading, and other online businesses, play an integral role in our lives. Network Intrusion Detection System (NIDS) is essential to protect the network from unauthorized access and against other cyber-attacks. The existing NIDS systems are based on the Backward Oracle Matching (BOM) algorithm, which minimizes the false alarm rate and causes of high packet drop ratio. This paper discussed the existing NIDS systems and different… More >

  • Open Access

    ARTICLE

    CD-FL: Cataract Images Based Disease Detection Using Federated Learning

    Arfat Ahmad Khan1, Shtwai Alsubai2, Chitapong Wechtaisong3,*, Ahmad Almadhor4, Natalia Kryvinska5,*, Abdullah Al Hejaili6, Uzma Ghulam Mohammad7

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1733-1750, 2023, DOI:10.32604/csse.2023.039296

    Abstract A cataract is one of the most significant eye problems worldwide that does not immediately impair vision and progressively worsens over time. Automatic cataract prediction based on various imaging technologies has been addressed recently, such as smartphone apps used for remote health monitoring and eye treatment. In recent years, advances in diagnosis, prediction, and clinical decision support using Artificial Intelligence (AI) in medicine and ophthalmology have been exponential. Due to privacy concerns, a lack of data makes applying artificial intelligence models in the medical field challenging. To address this issue, a federated learning framework named CD-FL based on a VGG16… More >

  • Open Access

    ARTICLE

    A Circular Economy Use of Post-Consumer Polypropylene Packaging for Low Thermal Conductive and Fire-Retardant Building Material Applications

    Jakkid Sanetuntikul1, Borwon Narupai2, Nawadon Petchwattana3,*

    Journal of Renewable Materials, Vol.11, No.9, pp. 3567-3582, 2023, DOI:10.32604/jrm.2023.029308

    Abstract Wastes from polypropylene (PP) packages are accumulating every year because it is one of the most widely consumed and short lifecycle products. This paper aims to develop low thermal conductive and fire-retardant materials from post-consumer PP (pPP) packages. Ammonium polyphosphate (APP) and hollow glass microsphere (HGM) were further added to improve the fire retardancy and thermal conductivity of pPP. The influence of APP and HGM on the mechanical and thermal properties, fire retardancy and thermal conductivity of pPP were investigated and compared with that of virgin PP (vPP). HGM was constantly added at 5 wt% while the content of APP… More > Graphic Abstract

    A Circular Economy Use of Post-Consumer Polypropylene Packaging for Low Thermal Conductive and Fire-Retardant Building Material Applications

  • Open Access

    REVIEW

    Cellulose-Based Films for Food Packaging Applications: Review of Preparation, Properties, and Prospects

    Xiaoyan Liu1,2, Zhao Qin1,2,*, Yuxiang Ma1,2, Huamin Liu1,2,*, Xuede Wang1,2

    Journal of Renewable Materials, Vol.11, No.8, pp. 3203-3225, 2023, DOI:10.32604/jrm.2023.027613

    Abstract Packaging is a food preservation technology widely used in the world. Naturally-sourced, biodegradable polymers are becoming increasingly popular in the food packaging sector. Packaging films prepared using cellulose as raw material would contribute to resource sustainability, but the difficulty of cellulose solubilization limits their further development. In view of this, a series of novel solvent systems (LiCl/DMAc, ILs, TBAH/DMSO, NMMO, alkali/urea solutions, metal-complex solutions) were used to prepare high-strength and high-performance cellulose-based films; their characteristics and the mechanisms involved were investigated. Composite films prepared by blending cellulose with various polymers (synthetic polymers, natural polymers, proteins and enzymes, metal particles, and… More > Graphic Abstract

    Cellulose-Based Films for Food Packaging Applications: Review of Preparation, Properties, and Prospects

  • Open Access

    REVIEW

    Deep Learning Applied to Computational Mechanics: A Comprehensive Review, State of the Art, and the Classics

    Loc Vu-Quoc1,*, Alexander Humer2

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1069-1343, 2023, DOI:10.32604/cmes.2023.028130

    Abstract Three recent breakthroughs due to AI in arts and science serve as motivation: An award winning digital image, protein folding, fast matrix multiplication. Many recent developments in artificial neural networks, particularly deep learning (DL), applied and relevant to computational mechanics (solid, fluids, finite-element technology) are reviewed in detail. Both hybrid and pure machine learning (ML) methods are discussed. Hybrid methods combine traditional PDE discretizations with ML methods either (1) to help model complex nonlinear constitutive relations, (2) to nonlinearly reduce the model order for efficient simulation (turbulence), or (3) to accelerate the simulation by predicting certain components in the traditional… More >

  • Open Access

    REVIEW

    Mechanisms and applications of antitumor immunotherapy of responsive drug-loaded nanoparticles in breast cancer

    LETIAN JIN, HETING CHEN, QI RUAN, RUI LIU, YIFENG FAN, XIUFANG XU, DAJIANG WANG*, JIAHUI LU*

    BIOCELL, Vol.47, No.7, pp. 1483-1498, 2023, DOI:10.32604/biocell.2023.028457

    Abstract During the chemotherapy of tumors, the cytotoxic effect of drugs is vital to kill tumor cells, and the delivery of a chemotherapeutic agent is of great importance for optimal therapeutic effects. The high in vivo clearance rate and low delivery efficiency of conventional chemotherapeutic agents affect the therapeutic effect. In recent years, the responsive drug delivery nanosystem has received increasing concern owing to its excellent biocompatibility, stable delivery performance, and controlled drug release strategies. To lucidly explain the cytocidal and immunotherapeutic effects of such responsive nanosystems in breast cancer, this review discusses the various stimuli and responses of drug-loaded liposomal… More >

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