Yu Li^1,2,3,*, Jie Bian³, Liang Zhang^2,3, Xuesong Feng³, Jiachen Hu³, Ji Yu³, Chao Zhou³, Tian Lan³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2539-2556, 2025, DOI:10.32604/fdmp.2025.067685 - 30 October 2025

Abstract As oil and gas development increasingly targets unconventional reservoirs, the limitations of conventional hydraulic fracturing, namely high water consumption and significant reservoir damage, have become more pronounced. This has driven growing interest in the development of clean fracturing fluids that minimize both water usage and formation impairment. In this study, a low-liquid-content viscoelastic surfactant (VES) foam fracturing fluid system was formulated and evaluated through laboratory experiments. The optimized formulation comprises 0.2% foaming agent CTAB (cetyltrimethylammonium bromide) and 2% foam stabilizer EAPB (erucamidopropyl betaine). Laboratory tests demonstrated that the VES foam system achieved a composite foam… More >

Qiang Sun^1,2,*, Zheng-Song Qiu¹, Tie Geng², Han-Yi Zhong¹, Weili Liu², Yu-Lin Tang², Jin-Cheng Dong²

Journal of Polymer Materials, Vol.42, No.3, pp. 757-772, 2025, DOI:10.32604/jpm.2025.069808 - 30 September 2025

Abstract Addressing the critical challenges of viscosity loss and barite sag in synthetic-based drilling fluids (SBDFs) under high-temperature, high-pressure (HTHP) conditions, this study innovatively developed a hyperbranched amide polymer (SS-1) through a unique stepwise polycondensation strategy. By integrating dynamic ionic crosslinking for temperature-responsive rheology and rigid aromatic moieties ensuring thermal stability beyond 260°C, SS-1 achieves a molecular-level breakthrough. Performance evaluations demonstrate that adding merely 2.0 wt% SS-1 significantly enhances key properties of 210°C-aged SBDFs: plastic viscosity rises to 45 mPa·s, electrical stability (emulsion voltage) reaches 1426 V, and the sag factor declines to 0.509, outperforming conventional More >

Xiao Li^*, Junxiang Liu, Weinan Fan, Shiying Xu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.012285

Abstract With global warming, the frequency of extreme precipitation events is continuously increasing. The Pearl River Basin is an important region for agricultural production and population concentration in China. Extreme precipitation events have significant impacts on various aspects such as agriculture, transportation, and water resources in this region. The ERA5 reanalysis dataset is a global atmospheric reanalysis product with high spatial and temporal resolution, as well as diverse meteorological information, offering substantial research value for basin weather forecasting and climate change studies. Based on daily precipitation data from 71 meteorological stations in the Pearl River Basin… More >

Khadija Slimani^1,2,*, Samira Khoulji², Hamed Taherdoost^3,4, Mohamed Larbi Kerkeb⁵

CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 4115-4132, 2025, DOI:10.32604/cmc.2025.066544 - 23 September 2025

Abstract Reliable and efficient communication is essential for Unmanned Aerial Vehicle (UAV) networks, especially in dynamic and resource-constrained environments such as disaster management, surveillance, and environmental monitoring. Frequent topology changes, high mobility, and limited energy availability pose significant challenges to maintaining stable and high-performance routing. Traditional routing protocols, such as Ad hoc On-Demand Distance Vector (AODV), Load-Balanced Optimized Predictive Ad hoc Routing (LB-OPAR), and Destination-Sequenced Distance Vector (DSDV), often experience performance degradation under such conditions. To address these limitations, this study evaluates the effectiveness of Dynamic Adaptive Routing (DAR), a protocol designed to adapt routing decisions… More >

J. Luis Luviano-Ortiz, Julio Cesar Rodriguez-Mosqueda, Salvador Botello-Aceves, Yanan Camaraza-Medina^*, Abel Hernandez-Guerrero

Frontiers in Heat and Mass Transfer, Vol.23, No.4, pp. 1165-1183, 2025, DOI:10.32604/fhmt.2025.067466 - 29 August 2025

Abstract This work presents a simulation analysis using a multi-objective evolutionary algorithm for the thermo-hydraulic behavior of staggered heat sinks whose fins have NACA 0040 airfoil profile. The results were compared with a conventional pin fin heat sink with a circular profile. This study searched for the best thermo-hydraulic performance by translational and rotational positioning of the fins. It is worth mentioning that this work was carried out in two stages. In the first stage, the thermo-hydraulic behavior of the heat sink was studied moving the location of the upper array above the X-axis from −2.25 to… More >

Ayoub Mhaouch^1,*, Wafa Gtifa², Turke Althobaiti³, Hamzah Faraj⁴, Mohsen Machhout¹

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5637-5663, 2025, DOI:10.32604/cmc.2025.065525 - 30 July 2025

Abstract In medical imaging, accurate brain tumor classification in medical imaging requires real-time processing and efficient computation, making hardware acceleration essential. Field Programmable Gate Arrays (FPGAs) offer parallelism and reconfigurability, making them well-suited for such tasks. In this study, we propose a hardware-accelerated Convolutional Neural Network (CNN) for brain cancer classification, implemented on the PYNQ-Z2 FPGA. Our approach optimizes the first Conv2D layer using different numerical representations: 8-bit fixed-point (INT8), 16-bit fixed-point (FP16), and 32-bit fixed-point (FP32), while the remaining layers run on an ARM Cortex-A9 processor. Experimental results demonstrate that FPGA acceleration significantly outperforms the… More >

Salman A. Khan^1,*, Mohamed Mohandes^2,3, Shafiqur Rehman³, Ali Al-Shaikhi^2,4, Kashif Iqbal¹

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 553-581, 2025, DOI:10.32604/cmc.2025.064560 - 09 June 2025

Abstract Wind energy has emerged as a potential replacement for fossil fuel-based energy sources. To harness maximum wind energy, a crucial decision in the development of an efficient wind farm is the optimal layout design. This layout defines the specific locations of the turbines within the wind farm. The process of finding the optimal locations of turbines, in the presence of various technical and technological constraints, makes the wind farm layout design problem a complex optimization problem. This problem has traditionally been solved with nature-inspired algorithms with promising results. The performance and convergence of nature-inspired algorithms… More >

Walaa M. Hashim, Israa S. Ahmed, Ayad K. Khlief^*, Raed A. Jessam, Ameer Abed Jaddoa

Energy Engineering, Vol.122, No.6, pp. 2485-2501, 2025, DOI:10.32604/ee.2025.061630 - 29 May 2025

Abstract Achieving broadband solar thermal absorption via dilute nanofluids is still a daunting challenge since the absorption peaks of common metal particles are usually located in the visible part of the radiation spectrum. This paper aims to present the results of experimental investigations on the thermal performance of heat pipe-type evacuated solar collectors. The experimented system consists of 15 tubes, providing the hot nanofluid to 100-L storage in a closed flow loop. The solar collector with a gross area of 2.1 m² is part of the solar hot water test system located in Baghdad-Iraq. Al₂O₃ nanofluid at… More >

Feng Zhu^*, Kailin Wu, Jie Ding

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2573-2598, 2025, DOI:10.32604/cmc.2025.062007 - 16 April 2025

Abstract With the widespread application of Internet of Things (IoT) technology, the processing of massive real-time streaming data poses significant challenges to the computational and data-processing capabilities of systems. Although distributed streaming data processing frameworks such as Apache Flink and Apache Spark Streaming provide solutions, meeting stringent response time requirements while ensuring high throughput and resource utilization remains an urgent problem. To address this, the study proposes a formal modeling approach based on Performance Evaluation Process Algebra (PEPA), which abstracts the core components and interactions of cloud-based distributed streaming data processing systems. Additionally, a generic service… More >

Laith Abualigah^*

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1539-1592, 2025, DOI:10.32604/cmc.2025.060765 - 17 February 2025

Abstract Particle Swarm Optimization (PSO) has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields. This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications, but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms. Covering six strategic areas, which include Data Mining, Machine Learning, Engineering Design, Energy Systems, Healthcare, and Robotics, the study demonstrates the versatility and effectiveness of the PSO. Experimental results are, however, used to show the strong and More >