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  • Open Access

    ARTICLE

    Artificial Intelligence (AI)-Enabled Unmanned Aerial Vehicle (UAV) Systems for Optimizing User Connectivity in Sixth-Generation (6G) Ubiquitous Networks

    Zeeshan Ali Haider1, Inam Ullah2,*, Ahmad Abu Shareha3, Rashid Nasimov4, Sufyan Ali Memon5,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.071042 - 10 November 2025

    Abstract The advent of sixth-generation (6G) networks introduces unprecedented challenges in achieving seamless connectivity, ultra-low latency, and efficient resource management in highly dynamic environments. Although fifth-generation (5G) networks transformed mobile broadband and machine-type communications at massive scales, their properties of scaling, interference management, and latency remain a limitation in dense high mobility settings. To overcome these limitations, artificial intelligence (AI) and unmanned aerial vehicles (UAVs) have emerged as potential solutions to develop versatile, dynamic, and energy-efficient communication systems. The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning (CoRL) to manage an autonomous network.… More >

  • Open Access

    ARTICLE

    Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-Offs

    Mohamed Ezz1, Meshrif Alruily1,*, Ayman Mohamed Mostafa2,*, Alaa S. Alaerjan1, Bader Aldughayfiq2, Hisham Allahem2, Abdulaziz Shehab2

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-28, 2026, DOI:10.32604/cmc.2025.063189 - 10 November 2025

    Abstract Automated essay scoring (AES) systems have gained significant importance in educational settings, offering a scalable, efficient, and objective method for evaluating student essays. However, developing AES systems for Arabic poses distinct challenges due to the language’s complex morphology, diglossia, and the scarcity of annotated datasets. This paper presents a hybrid approach to Arabic AES by combining text-based, vector-based, and embedding-based similarity measures to improve essay scoring accuracy while minimizing the training data required. Using a large Arabic essay dataset categorized into thematic groups, the study conducted four experiments to evaluate the impact of feature selection,… More >

  • Open Access

    ARTICLE

    AI-Based Power Distribution Optimization in Hyperscale Data Centers

    Chirag Devendrakumar Parikh*

    Journal on Artificial Intelligence, Vol.7, pp. 571-584, 2025, DOI:10.32604/jai.2025.073765 - 01 December 2025

    Abstract With the increasing complexity and scale of hyperscale data centers, the requirement for intelligent, real-time power delivery has never been more critical to ensure uptime, energy efficiency, and sustainability. Those techniques are typically static, reactive (since CPU and workload scaling is applied to performance events that occur after a request has been submitted, and is thus can be classified as a reactive response.), and require manual operation, and cannot cope with the dynamic nature of the workloads, the distributed architectures as well as the non-uniform energy sources in today’s data centers. In this paper, we… More >

  • Open Access

    ARTICLE

    Large-Volume Hydraulic Fracturing in Tight Gas Reservoirs: High-Efficiency Stimulation and Geological Adaptability Assessment

    Bo Wang1, Fuyang Wu2, Zifeng Chen2, Libin Dai1, Yifan Dong1, Xiaotao Gao3, Zongfa Li2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2701-2719, 2025, DOI:10.32604/fdmp.2025.067298 - 01 December 2025

    Abstract Tight gas reservoirs are often characterized by pronounced heterogeneity and poor continuity, resulting in wide variability in production enhancement and net present value (NPV) for different geological parameter combinations (see e.g., the Ordos Basin). The conditions governing geological adaptability remain insufficiently defined. To address these challenges, this study integrates large-volume hydraulic fracturing, numerical production simulation, and economic evaluation to elucidate the mechanisms by which large-scale fracturing enhances fracture parameters in tight gas formations. The analysis reveals that, for identical proppant and fluid volumes, increasing the fracturing injection rate leads to longer and taller fractures. Over… More >

  • Open Access

    ARTICLE

    Enhanced Efficiency of Solar-Assist Heat Pump Using Tracking PV/T Panel: A TRNSYS Simulation Study

    Ashna Abduljabbar Haji*, Ranj S. Abdullah*

    Energy Engineering, Vol.122, No.12, pp. 5111-5127, 2025, DOI:10.32604/ee.2025.073367 - 27 November 2025

    Abstract The hybrid photovoltaic solar-assisted heat pump are primarily used to generate electricity and provide thermal energy for heating applications. This study investigates the performance enhancement of a hybrid Photovoltaic Thermal Solar-Assisted Heat Pump (PV/T-SAHP) system integrated with a solar tracking mechanism. The system was simulated using TRNSYS to evaluate its monthly electrical output and coefficient of performance (COP) of the heat pump system over a year. The results showed a significant improvement in energy generation and efficiency compared to a conventional PV/T system without SAHP system. Overall, the solar tracking configuration of the PV/T-SAHP generated… More > Graphic Abstract

    Enhanced Efficiency of Solar-Assist Heat Pump Using Tracking PV/T Panel: A TRNSYS Simulation Study

  • Open Access

    ARTICLE

    Exploring Efficiency of Silicon Carbide for Next Generation of Alkali & Alkaline Earth Metals-Ion Batteries Using Quantum Mechanic Method

    Fatemeh Mollaamin1,*, Majid Monajjemi2

    Energy Engineering, Vol.122, No.12, pp. 4971-4986, 2025, DOI:10.32604/ee.2025.069945 - 27 November 2025

    Abstract Delving alternative high-performance anodes for lithium-ion batteries have always attracted scientist attention. A wide-bandgap semiconductor with excellent mechanical properties, “silicon carbide (SiC)”, has been introduced as the anode electrode. Two-dimensional SiC has special hybridization which can build it as an appropriate substitution for graphene. Energy storage technologies are keys in the extension and function of electric devices. To keep up with steady innovations in saving energy technologies, it is essential to progress corresponding practical strategies. In this research article, SiC has been designed and characterized as an anode electrode for lithium (Li), sodium (Na), beryllium… More > Graphic Abstract

    Exploring Efficiency of Silicon Carbide for Next Generation of Alkali & Alkaline Earth Metals-Ion Batteries Using Quantum Mechanic Method

  • Open Access

    ARTICLE

    CFD Analysis of Corrugated Plate Designs to Improve Heat Transfer Efficiency in Plate Heat Exchangers

    Kashif Ahmed Soomro1,2,3,*, Rahool Rai1,3,4, S. R. Qureshi2, Sudhakar Kumarasamy4,5,6, Abdul Hameed Memon1, Rabiya Jamil1

    Energy Engineering, Vol.122, No.12, pp. 4857-4872, 2025, DOI:10.32604/ee.2025.069847 - 27 November 2025

    Abstract Plate heat exchangers suffer from significant energy losses, which adversely affect the overall efficiency of thermal systems. To address this challenge, various heat transfer enhancement techniques have been investigated. Notably, the incorporation of surface corrugations is widely recognized as both effective and practical. Chevron corrugation is the most employed design. However, there remains a need to investigate alternative geometries that may offer superior performance. This study aims to find a novel corrugation design by conducting a comparative CFD analysis of flat, square, chevron, and cylindrical corrugated surfaces, assessing their impact on heat transfer enhancement within… More > Graphic Abstract

    CFD Analysis of Corrugated Plate Designs to Improve Heat Transfer Efficiency in Plate Heat Exchangers

  • Open Access

    ARTICLE

    AI-Driven SDN and Blockchain-Based Routing Framework for Scalable and Trustworthy AIoT Networks

    Mekhled Alharbi1,*, Khalid Haseeb2, Mamoona Humayun3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2601-2616, 2025, DOI:10.32604/cmes.2025.073039 - 26 November 2025

    Abstract Emerging technologies and the Internet of Things (IoT) are integrating for the growth and development of heterogeneous networks. These systems are providing real-time devices to end users to deliver dynamic services and improve human lives. Most existing approaches have been proposed to improve energy efficiency and ensure reliable routing; however, trustworthiness and network scalability remain significant research challenges. In this research work, we introduce an AI-enabled Software-Defined Network (SDN)- driven framework to provide secure communication, trusted behavior, and effective route maintenance. By considering multiple parameters in the forwarder selection process, the proposed framework enhances network More >

  • Open Access

    ARTICLE

    Use of Scaled Models to Evaluate Reinforcement Efficiency in Damaged Main Gas Pipelines to Prevent Avalanche Failure

    Nurlan Zhangabay1,*, Marco Bonopera2,*, Konstantin Avramov3, Maryna Chernobryvko3, Svetlana Buganova4

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 241-261, 2025, DOI:10.32604/cmes.2025.069544 - 30 October 2025

    Abstract This research extends ongoing efforts to develop methods for reinforcing damaged main gas pipelines to prevent catastrophic failure. This study establishes the use of scaled-down experimental models for assessing the dynamic strength of damaged pipeline sections reinforced with wire wrapping or composite sleeves. A generalized dynamic model is introduced for numerical simulation to evaluate the effectiveness of reinforcement techniques. The model incorporates the elastoplastic behavior of pipe and wire materials, the influence of temperature on mechanical properties, the contact interaction between the pipe and the reinforcement components (including pretensioning), and local material failure under transient… More >

  • Open Access

    ARTICLE

    Response of Nitrogen Use Efficiency, Yield and Quality of Rice to Nitrogen Reduction Combined with Organic Fertilizer in Karst Region

    Guiling Xu1,#, Xiaoxuan You1,#, Yuehua Feng1,2,*, Xiaoke Wang1, Yuqi Gao1, Hongjun Ren1, Zhili Han1, Jiale Li1

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3251-3268, 2025, DOI:10.32604/phyton.2025.067997 - 29 October 2025

    Abstract Nitrogen (N) reduction combined with organic fertilizer has become a highly popular fertilization method, meeting the sustainable development of agriculture. A field experiment was conducted to investigate the effects of N reduction (NR) and combined application of organic fertilizer (OF) on N utilization, yield, and quality of hybrid indica rice in the karst area. Using rice ‘Yixiangyou2115’ as the material, a split-plot design experiment was carried out with OF application rate as the main plots and NR rate as the subplots. The OF application rate had three levels: M0 (0 kg/ha), M1 (low OF, 1673… More >

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