Udit Mamodiya^1,*, Indra Kishor², P. Satish Reddy³, K. Lakshmi Kalpana³, Radha Seelaboyina⁴, Harish Reddy Gantla⁵

CMC-Computers, Materials & Continua, Vol.87, No.3, 2026, DOI:10.32604/cmc.2026.076464 - 09 April 2026

Abstract The direct conversion of solid-state heat to electricity using thermoelectric materials has attracted attention; however, their effective application is limited because of the challenge of ensuring a balance between the microstructural features at the quantum, mesoscale, and continuum scales. Current computational and machine-learning methods have a small design space, wherein few to no interactions between the electronic structure, phonon transport, and device-level are considered. This makes it difficult to discover stable high-figure of merit (ZT) settings that are manufacturable and strong in the actual working environment. This study presents a multiscale hybrid optimization framework that… More >

Yisheng Liu^*, Xufeng Sun, Zhifeng Chen

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.077267 - 31 March 2026

Abstract This study addresses the optimization of automated yarn handling in textile manufacturing by examining the related suction process through a combined numerical and experimental approach. In particular, a three-dimensional model of the suction nozzle was coupled with an equivalent linear-elastic beam representation of the yarn, and a Fluent–IDW–Abaqus weakly coupled fluid–structure interaction (FSI) framework was employed to capture the yarn’s release and dynamic response under negative-pressure suction. High-speed imaging experiments validated the simulations, demonstrating excellent agreement in displacements and velocities. According to the results, increasing the initial suction pressure from −0.04 MPa to −0.06 MPa More >

Yasir Khan¹, Arshad Riaz^2,*, Iqra Batool², Safia Akram³, A. Alameer¹, Ghaliah Alhamzi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078060 - 30 March 2026

Abstract Tangent hyperbolic fluids characterized by shear-thinning behavior, are widely utilized in diverse industrial and scientific fields such as polymer engineering, inkjet printing, biofluids modeling, thermal insulation materials, and chemical manufacturing. Additionally, double-diffusive convection involving simultaneous heat and mass transfer driven by temperature and concentration gradients plays a critical role in many natural and industrial systems, including oceanic circulation, geothermal energy extraction, crystal solidification, alloy formation, and enhanced oil recovery. The current work examines the peristaltic transport of a tangent hyperbolic nanofluid under the concurrent effects of thermal radiation, electroosmotic forces, slip boundary conditions, and double… More >

Noor Fadiya Mohd Noor^1,2,*, Noreen Sher Akbar³, Rashid Mehmood⁴, Muhammad Bilal Habib⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.075694 - 30 March 2026

Abstract Electroosmotic transport and entropy generation play a decisive role in regulating efficiency, stability, and energy cost of non-Newtonian nanoblood flows in stenosed arteries, particularly with tapered geometries. This study develops a unified model to analyze ZnO–Williamson nanoblood flow through a stenosed artery with converging, diverging, and non-tapered configurations, incorporating electroosmosis, viscous dissipation, and entropy production. The arterial walls are assumed to be electrically charged with a no-slip condition to induce electroosmotic propulsion along the endothelial surface. The partial differential equations are nondimensionalized to a coupled system of nonlinear ordinary differential equations, which are solved numerically… More >

Xinyue Zhang¹, Yuxuan Zhao², Jeremy S. Smith³, Yuechun Wang⁴, Gabriela Mogos⁵, Ka Lok Man¹, Yutao Yue^6,7,8,9, Young-Ae Jung^10,*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075415 - 12 March 2026

Abstract Intelligent Transportation Systems (ITS) represent a cornerstone in modern traffic management, leveraging surveillance cameras as primary visual sensors to monitor road conditions. However, the fixed characteristics of public surveillance cameras, coupled with inherent image resolution limitations, pose significant challenges for Small Object Detection (SOD) in traffic surveillance. To address these challenges, this paper proposes Ghost-Attention YOLO (GA-YOLO), a lightweight model derived from YOLOv8 and specifically designed for traffic SOD. To enhance the attention of small targets and critical features, a novel channel-spatial attention mechanism, termed Small-object Extend Attention (SEA), is introduced. In addition, the original… More >

Hamad Ali Abosaq¹, Jarallah Alqahtani^1,*, Fahad Masood², Alanoud Al Mazroa³, Muhammad Asad Khan⁴, Akm Bahalul Haque⁵

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.075250 - 12 March 2026

Abstract The technological advancement of the vehicular Internet of Things (IoT) has revolutionized Intelligent Transportation Systems (ITS) into next-generation ITS. The connectivity of IoT nodes enables improved data availability and facilitates automatic control in the ITS environment. The exponential increase in IoT nodes has significantly increased the demand for an energy-efficient, mobility-aware, and secure system for distributed intelligence. This article presents a mobility-aware Deep Reinforcement Learning based Federated Learning (DRL-FL) approach to design an energy-efficient and threat-resilient ITS. In this approach, a Policy Proximal Optimization (PPO)-based DRL agent is first employed for adaptive client selection. Second, More >

Adebowale Martins Obalalu^1,*, Abdulazeez Adebayo Usman², Umair Khan³

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.2, 2026, DOI:10.32604/fdmp.2026.076959 - 04 March 2026

Abstract Efficient thermal management in porous media is essential for advanced engineering applications, including solar energy systems, electronic cooling, and aerospace thermal control. This study presents a comprehensive analysis of ternary hybrid nanofluids, TiO₂–CdTe–MoS₂ dispersed in water, flowing over a vertical stretching or shrinking surface in a Darcy–Brinkman porous medium. The investigation accounts for the combined effects of magnetohydrodynamics, thermal radiation, viscous dissipation, and internal heat generation. In contrast to previous studies that predominantly focused on single or binary nanofluids, the present work systematically examines the thermal and hydrodynamic performance of ternary hybrid nanofluids, highlighting their enhanced… More >

Hao Zhu^1,2, Xi Chen^1,2,*, Pengcheng Qu^1,2, Yifan Zhu^1,2, Haoyi Wang^1,2, Yingxia Qi^1,2

Frontiers in Heat and Mass Transfer, Vol.24, No.1, 2026, DOI:10.32604/fhmt.2026.076127 - 28 February 2026

Abstract Pulse tube cryocoolers are widely employed in cryogenic systems, where gas contamination has become a critical factor limiting both performance and service life. To further investigate the condensation behavior of contaminants, this study develops a two-dimensional axisymmetric model of a linear-type cryocooler to simulate the transport and deposition processes of trace CO₂, evaluating the impact of contamination on system pressure drop under various operating conditions. Results indicate that CO₂ diffusion is primarily driven by concentration gradients. The CO₂ deposition rate increases markedly at low temperatures and high concentrations, with over 90% of deposition occurring in the cold-end… More >

A. S. M. Masudur Rahman¹, Muhammad Zunair Zamir¹, Syed Sajid Ullah^2,*, Salman Khan², Maria Saman¹, Naqash Bahadar¹

Journal on Artificial Intelligence, Vol.8, pp. 119-136, 2026, DOI:10.32604/jai.2026.076274 - 24 February 2026

Abstract Vehicle detection plays a pivotal role in autonomous driving, traffic monitoring, and intelligent surveillance systems. While YOLOv8 offers strong real-time performance, its detection accuracy is often limited by insufficient feature stability and suboptimal multi-scale feature fusion in complex scenes. To address these issues, we propose an enhanced YOLOv8 framework that retains the original backbone and detection head for efficiency while introducing targeted improvements to the neck architecture. Specifically, the model incorporates an Exponential Moving Average (EMA) feature layer to stabilize learning through temporally smoothed feature representations, which reduces noise and enhances generalization, and integrates GhostConv… More >

Yang Zhang¹, Xiaoping Yang¹, Yalan Zhang¹, Mingzhe Han¹, Jiayi Sun², Zhengsheng Xia^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.1, 2026, DOI:10.32604/fdmp.2026.075388 - 06 February 2026

Abstract Self-suspended proppants, which enable clear-water fracturing, represent a promising new class of materials for reservoir stimulation. Given the economic limitations associated with their exclusive use, this study investigates proppant transport behavior in hybrid systems combining self-suspended proppants with conventional 40/70 mesh quartz sand at various mixing ratios. A dedicated experimental apparatus was developed to replicate field-relevant complex fracture networks, consisting of a main fracture and two branching fractures with different deflection angles. Using this system, sand bank formation and proppant distribution were examined for both conventional quartz sand fracturing and fracturing augmented with self-suspended proppants.… More >