Sana Handor^1,*, Mohamed Manoua², Mohamed Sahlaoui¹, Laura Hrostea³, Mustapha Adar⁴, Mohammed Sajieddine¹, Liviu Leontie³, Abdelati Razouk^1,*

Energy Engineering, Vol.123, No.9, 2026, DOI:10.32604/ee.2026.082739 - 06 August 2026

Abstract In this study, thin films of titanium dioxide (TiO₂) were deposited onto glass and indium tin oxide (ITO) substrates at room temperature, using plasma-assisted pulsed DC sputtering with a 99.9% pure stoichiometric TiO₂ target. Our research aims to investigate the influence of film thickness on the optical, structural, and morphological properties of TiO₂ nanostructured thin films, as well as its impact on the photovoltaic performance of heterojunctions where TiO₂ serves as the emitter. Using advanced PRISA software, parameters such as refractive index, film thickness, and band gap energy were determined. Spectrophotometry analysis shows that TiO₂ thin film samples More > Graphic Abstract

Ye Tan^1,2, Jing Ling^3,4,5, Zewen Chen^3,4,5, Runzhang Liang^3,4,5, Shusheng Wen^3,4,5, Yong Zhang^3,4,5,*

Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.077197 - 31 July 2026

Abstract Background: Congenital left ventricular diverticulum is an uncommon cardiac malformation that may present with chest pain, ventricular arrhythmia, thromboembolism, or rupture risk depending on lesion morphology and wall composition. Case description: We report an adolescent male with chest pain and frequent premature ventricular complexes who was found to have a giant apical left ventricular diverticulum with marked wall thinning and regional hypokinesia. Multimodality imaging, including transthoracic echocardiography, computed tomography, cardiac magnetic resonance, and myocardial perfusion/metabolic assessment, supported the diagnosis of a fibrous diverticulum and helped exclude ischemic myocardial injury. To refine operative planning, patient-specific dynamic three-dimensional (3D)… More >

Xuewen Cao^*, Zhe Chen, Gaoya Ding, Wei You

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.7, 2026, DOI:10.32604/fdmp.2026.080209 - 31 July 2026

Abstract A two-dimensional Computational Fluid Dynamics (CFD) model, grounded in classical nucleation theory, is developed to investigate CO₂ frosting and the associated heat transfer under cryogenic conditions. The model integrates gas–solid phase-change kinetics with multiphysics transport equations to capture the coupled phenomena governing frost formation. The Peng–Robinson equation of state is employed to predict CO₂ frost points in binary mixtures, with model predictions validated against experimental data, yielding errors in frost thickness and thermal conductivity below 15%. The results demonstrate that decreasing the cryogenic wall temperature from 160 K to 150 K increases the average frost thickness… More >

Ashwin Sankaran^*

Journal on Artificial Intelligence, Vol.8, pp. 403-423, 2026, DOI:10.32604/jai.2026.080854 - 29 July 2026

Abstract Human Motion Kinetics Recognition (HMKR) plays a pivotal role in advancing intelligent monitoring systems for public safety, machine interaction, and elderly-care technologies. Despite the increasing availability of affordable Inertial Measurement Units (IMUs), achieving accurate full-body motion analysis remains challenging due to sensor noise and variability across real-world environments. Addressing these limitations requires robust processing strategies capable of handling complex inertial time-series data. This research introduces an optimized HMKR system that leverages a comprehensive pipeline focusing on inertial sensor time-series data. In this research, we introduce an HMK-based recognition system that primarily focuses on six-degree-of-freedom (6-DoF) More >

Sathishkumar Veerappampalayam Easwaramoorthy^*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.087043 - 27 July 2026

Abstract This article has no abstract. More >

Xuan Kien Pham¹, Van Dat Nguyen^2,*, Van Thanh Phan^3,*, Duc Trien Nguyen^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.086196 - 27 July 2026

Abstract Accurate energy consumption forecasting faces two major challenges: limited historical data and complex consumption patterns. To address these challenges, this study proposes a new hybrid framework named the Decomposition-based Grey-Neuro-Fuzzy Architecture (DeGNA). The model first uses the Denton method to convert limited annual records into high-frequency monthly data. Next, it applies STL decomposition to separate the data into trend, seasonal and residuals components. A rolling-window GM(1,1) model is then used to predict the main growth trend, while a GWO-optimized ANFIS model uses economic indicators (IIP and FDI) to forecast complex seasonal changes. This study evaluates… More >

Adrián Bañuls-Arias, Cipriano Galindo, Ana Cruz-Martín, Manuel Castellano-Quero, Juan M. Gandarias, Juan-Antonio Fernández-Madrigal, Vicente Arévalo-Espejo^*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.085976 - 27 July 2026

Abstract The basic operation of a mobile robot is navigating to some target, avoiding collisions and possibly minimizing other criteria. A diversity of methods have been developed since the past century, and the research is still active, but there is one aspect that is often neglected: the duration of the steps in which computational devices divide the navigation process. Usually, it is set heuristically to a small, constant value for sampling observations frequently enough to ensure safety; however, each robot and environment has particularities that can make such a fixed timestep sub-optimal under some criteria. This… More >

Aoran Huang^1,2,*, Sinuo Zhang^1,2, Haoxiang Zhu^1,2, Xiaojing Fan^1,2, Huachun Zhou^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083972 - 27 July 2026

Abstract In Future Mobile Internet and convergence application scenarios, existing network attack traffic detection methods are insufficient in characterizing cross-flow correlations and structural dependencies during the attack process, and therefore still have limited generalization ability in complex scenarios and unknown attack identification tasks. To address this issue, this paper proposes a cross-flow modeling large language model framework, which extends the traditional detection paradigm based on single-flow features to joint modeling oriented toward cross-flow context and relational structure. Specifically, this paper constructs cross-flow context through flow sorting, grouping, and cross-group sampling, and combines an inter-flow relation matrix… More >

Yi Chen, Xiaodan Ren^*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083966 - 27 July 2026

Abstract Concrete exhibits significant stochasticity and nonlinearity, making the calibration of nonlinear damage models challenging for high-precision structural analysis. To address the high computational cost of finite element model calibration and the influence of model bias, this study proposes a machine learning surrogate framework for Bayesian calibration of nonlinear concrete damage models. The framework integrates a bi-scalar damage constitutive model, support vector regression based surrogate modeling, response-level finite element model bias representation, and adaptive Markov Chain Monte Carlo sampling within a unified probabilistic setting. The surrogate models are constructed to approximate the nonlinear mapping from constitutive… More >

Hyunghoon Kim¹, Wonsuk Choi², Kyungho Joo^3,*, Hyojin Jo^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083948 - 27 July 2026

Abstract As mobile networks evolve toward next-generation architectures in which cellular and IP-based voice services are increasingly converged, SIMBox-based call routing has emerged as an important issue in modern telecommunication networks. By converting Voice over IP (VoIP) traffic into local cellular calls, SIMBox appliances allow IP-originated calls to appear as domestic cellular calls. Although SIMBox usage is not inherently fraudulent, detecting SIMBox-routed calls is important for identifying abnormal call-routing behavior and supporting network-side and client-side security applications. In this paper, we propose a client-side framework for SIMBox-routed call detection. Calls routed through SIMBox infrastructure are identified… More > Graphic Abstract