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  • Open Access

    ARTICLE

    A Dual-Neuron Memristor Hopfield Neural Network with Controllable Multiple Equilibrium Points: Dynamical Analysis, FPGA Implementation, and Image Encryption Application

    Yanyu Zhu1, Jie Jin2,*, Lv Zhao2,3, Fei Yu4

    CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.085516 - 15 September 2026

    Abstract To address the issues of multi-neuron architectures, high parameter redundancy, and complex hardware implementation in existing memristive Hopfield neural networks (MHNN) for image encryption, a simple structure dual-neuron memristive Hopfield neural network (DNMHNN) modulated by multifrequency square waves is proposed in this study. The proposed DNMHNN model consists of only two neurons and one memristor, and by introducing dual-frequency square-wave external excitation into the memristor, the dynamical behavior of the DNMHNN model can be flexibly regulated. The simulation results verify that the proposed DNMHNN model can generate stable chaotic behavior over a wide parameter range.… More >

  • Open Access

    REVIEW

    Applications of IoT in Intelligent Transportation Systems: Research Landscape, Technological Innovations, Challenges, and Future Opportunities

    Mahbub Hassan1, Md Kamrul Islam2,*, Md Shafiul Alam3, Mohammad Bin Amin4,5,*, M. M. Hafizur Rahman6, Md Ehtesamul Haque7, Zoltán Nagy8

    CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.085434 - 15 September 2026

    Abstract The integration of the Internet of Things (IoT) into Intelligent Transportation Systems (ITS) is transforming urban mobility through widespread sensing, real-time data exchange, and Artificial Intelligence (AI)-driven adaptive control. Although research in this domain has expanded rapidly, bibliometric analyses combined with critical thematic synthesis remain limited. This study addresses this gap through a two-stage analysis of 574 peer-reviewed articles indexed in Scopus from 2011 to 2024. Using performance analysis, keyword co-occurrence mapping, and co-authorship network visualization, the study maps global publication trends, institutional productivity, and collaboration patterns. The results show an annual growth rate of… More >

  • Open Access

    REVIEW

    A Systematic Literature Review on the Application of Gamification in the Field of Information Security

    Indre Grigaraviciute, Nikolaj Goranin*

    CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.084893 - 15 September 2026

    Abstract Gamification has emerged as an effective approach to enhance user engagement and security awareness in the field of information security. This study presents a systematic literature review (SLR) of research published between 2012 and March 2026, analysing publications from two major databases, Scopus and Web of Science (WoS). The review was conducted following the PRISMA 2020 guidelines. A comprehensive set of seven keywords: “gamification”, “information security”, “cybersecurity”, “security awareness”, “business security and privacy training”, “security management”, and “incident response”, was used to retrieve relevant studies. A total of 1487 articles were initially identified, of which… More >

  • Open Access

    REVIEW

    Steganography in IoT Applications: A Survey on Methods, Current Emerging Challenges, and Future Directions

    Rafif Aydin Ahmad1, Ntivuguruzwa Jean De La Croix2,3, Reynandriel Pramas Thandya1, Tohari Ahmad1,*, Kambombo Mtonga4, Mungwarakarama Irenee2

    CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.083445 - 15 September 2026

    Abstract The Internet of Things (IoT) enables seamless interconnectivity among billions of smart devices, transforming industries through real-time sensing, data processing, and intelligent decision-making. As IoT systems manage large volumes of sensitive data, ensuring secure and covert communication has become critical. Steganography, which conceals confidential information within ordinary transmissions, has emerged as a promising approach to strengthen security and privacy in IoT environments. However, despite the growing body of work, existing surveys often address steganography in general contexts without systematically analyzing its adaptation to the unique constraints of IoT systems. This article addresses this gap by… More >

  • Open Access

    ARTICLE

    Engineering Application of Numerical Calibration of Wind Power in Complex Terrain Wind Farms

    Xin Guan1,*, Dechen Kong1, Hao Tang1, Bo Liu1, Chuang Zhao2

    Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2026.075468 - 30 August 2026

    Abstract Numerical calibration of wind power is a critical strategy for mitigating power generation deficits and optimizing the micro-siting of wind turbine units. As wind energy development shifts towards mountainous regions, accurate assessment in these environments becomes increasingly challenging due to complex turbulence structures. This paper conducts a theoretical and numerical investigation of atmospheric boundary layer flow in complex terrain. Utilizing the industry-standard Askervein Hill benchmark for validation, we first evaluate the influence of top boundary condition settings in rectangular fluid domains on the simulation accuracy of the equilibrium atmospheric boundary layer. Subsequently, the study proposes… More >

  • Open Access

    REVIEW

    Genome Editing of Sorghum bicolor (L.) Moench: Current Status and Future Applications

    Lev A. Elkonin1,*, Grigoriy A. Gerashchenkov2

    Phyton-International Journal of Experimental Botany, Vol.95, No.8, 2026, DOI:10.32604/phyton.2026.081317 - 28 August 2026

    Abstract Sorghum is a heat- and drought-tolerant cereal crop used for feed and food purposes in more than 100 countries. Sorghum becomes highly important in conditions of climate warming. The use of genome editing technologies is of paramount importance for this crop, which has a number of constraints in key agronomic traits that are difficult for improvement using conventional breeding. Application of genome editing for sorghum is limited due to problems of genetic transformation; however, recent advances in this field have increased the efficiency of the genome editing procedure in sorghum. This review summarizes recent achievements More >

  • Open Access

    ARTICLE

    Thermal Transport and Physics-Guided Optimization of MHD Buongiorno Nanofluid over a Porous Cylinder with Machine Learning Applications

    Hameed Ullah Khan1, Muhammad Naveed Khan2,*, N. Ameer Ahammad3, Nurul Amira Zainal4,*, Shahzad Sarwar5, Muhammad Imran Khan1, Afef Dhahbi6

    CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.2, 2026, DOI:10.32604/cmes.2026.086863 - 28 August 2026

    Abstract The thermal and solutal transport mechanisms in non-Newtonian fluids play a substantial role in energy systems, thermal management, polymer processing, and biomedical engineering. In this study, an integrated Local Non-Similarity Physics-Informed Neural Network framework is developed to investigate the non-similar boundary layer flow, heat, and mass transport of Williamson nanofluid through a horizontal porous cylinder under the combined effects of magnetohydrodynamics and porous media. The leading nonlinear system of equations that represents the problem is transformed into a coupled ordinary differential equation using the local non-similarity method. The resulting system is solved using a Physics… More >

  • Open Access

    REVIEW

    A Review on Machine Learning and Digital Twin Enabled Advancements in Biofiller/Fibre-Based Polymer Composites for Sustainable Engineering Applications

    Rahul Kumar1, Faladrum Sharma2, Pradeep Kumar Karsh3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.2, 2026, DOI:10.32604/cmes.2026.086198 - 28 August 2026

    Abstract The increasing environmental concerns after the United Nations’ push towards sustainable development goals (SDGs) and depletion of non-renewable resources have accelerated the global pursuit of sustainable materials. Within this framework, bio-based polymer composites have gained considerable attention for their ability to balance mechanical performance, cost-effectiveness, and environmental responsibility. Biofibres/fillers-based polymer composites reinforced with natural fibres like jute, bamboo, coconut coir, pineapple leaf fibre (PALF), and flax offer an attractive combination of mechanical performance, cost-effectiveness, and environmental sustainability. Moreover, additive manufacturing (3D printing), coupled with machine learning, digital twins, and data-driven material design, is transforming the… More >

  • Open Access

    ARTICLE

    Synergistic Effect of Low-Concentration ZnCl2-Activated Bio-Carbon from Red Suren Leaves with Hierarchical Pore Structure and Self-Doping for High-Performance Supercapacitor Applications

    Erman Taer1,*, Novi Yanti1, Asmarwati1, Apriwandi1, Abrar Ismardi2, Indra Wahyudhin Fathona2, Memoria Rosi2, Bidayatul Armynah3, Dahlang Tahir3, Ninis Hadi Haryanti4, Suryajaya4, Isnasyauqiah5, Ida Usman6, Julnaidi7, Rika Taslim8,*

    Journal of Renewable Materials, Vol.14, No.8, 2026, DOI:10.32604/jrm.2026.02026-0022 - 26 August 2026

    Abstract The promotion of bio-carbon for developing superior electrodes has become a trending topic in realising the practical application of supercapacitor devices. This study aimed to prepare porous carbon (PC) with a taproot fiber-like nanostructure that was decorated with self-doped oxygen. The waste of red suren leaves (RSL) was further treated using a direct heating method with the catalyst effect of ZnCl2 (0.3, 0.5, and 0.7 M) in an N2/CO2 environment at 850°C, being examined. The results showed that RSL@PC-0.5 exhibited the best amorphous carbon structure (FWHM = 0.105° and 0.182°). The specific surface area (SSA =… More > Graphic Abstract

    Synergistic Effect of Low-Concentration ZnCl<sub><b>2</b></sub>-Activated Bio-Carbon from Red Suren Leaves with Hierarchical Pore Structure and Self-Doping for High-Performance Supercapacitor Applications

  • Open Access

    ARTICLE

    Shift-Left Security for AI-Generated Code: Detecting and Preventing Vulnerabilities at Build-Time

    Bala Thripura Akasam*

    Journal of Cyber Security, Vol.8, pp. 525-539, 2026, DOI:10.32604/jcs.2026.085438 - 21 August 2026

    Abstract The widespread adoption of Artificial Intelligence (AI) coding assistants across enterprise software development teams has accelerated delivery velocity while simultaneously introducing a persistent and empirically documented security quality gap in the code these tools produce. Vulnerability classes including insecure output handling, prompt injection constructs, sensitive information disclosure patterns, and cryptographic misuse appear at elevated rates in AI-generated output regardless of model advancement, while organizational governance frameworks have failed to keep pace with the speed of AI tool deployment, creating conditions in which vulnerable code reaches production through informal risk acceptance rather than accountable remediation processes.… More >

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