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  • Open Access

    ARTICLE

    Spatio-Temporal Flood Inundation Dynamics and Land Use Transformation in the Jhelum River Basin Using Remote Sensing and Historical Hydrological Data

    Ihsan Qadir1, Usama Naeem2, Ahmed Nouman3, Aamir Raza4, Jun Wu1,*

    Revue Internationale de Géomatique, Vol.34, pp. 831-853, 2025, DOI:10.32604/rig.2025.069020 - 10 November 2025

    Abstract The Jhelum River Basin in Pakistan has experienced recurrent and severe flooding over the past several decades, leading to substantial economic losses, infrastructure damage, and socio-environmental disruptions. This study uses multi-temporal satellite remote sensing data with historical hydrological records to map the spatial and temporal dynamics of major flood events occurring between 1988 and 2019. By utilizing satellite imagery from Landsat 5, Landsat 8, and Sentinel-2, key flood events were analyzed through the application of water indices such as the Normalized Difference Water Index (NDWI) and the Modified NDWI (MNDWI) to delineate flood extents. Historical… More >

  • Open Access

    PROCEEDINGS

    Perpendicular Separations of a Binary Mixture Under Van Der Waals Confinement

    Kui Lin*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-1, 2025, DOI:10.32604/icces.2025.011838

    Abstract The phase separation of confined polymeric mixtures plays a critical role in the design of advanced materials and nanoscale devices. Over the past decades, extensive studies have highlighted the interplay of wetting dynamics, hydrodynamics, and interfacial forces in governing phase separation under confinement. In this work [1], we employ molecular dynamics simulations to investigate the dynamics of a binary mixture confined by van der Waals (vdW) walls, revealing a novel phenomenon termed Perpendicular Separation of Two Phases (PSTP). In the initial stage, water molecules residing in the central region rapidly diffuse and condense symmetrically along… More >

  • Open Access

    HOW I DO IT

    Freehand transperineal prostate biopsy under local anesthesia using a novel needle guide system with angle-adjustment feature

    Eriz Özden1,*, Erdem Öztürk2

    Canadian Journal of Urology, Vol.32, No.5, pp. 477-482, 2025, DOI:10.32604/cju.2025.067507 - 30 October 2025

    Abstract Overview: Freehand transperineal prostate biopsy (TPPB) needle guides are designed to maintain a parallel alignment between the co-axial introducer needle and the ultrasound (US) transducer. However, this parallel alignment necessitates transducer angulations within the patient’s rectum for sampling anterior or posterior regions of the prostate, which introduces several problems both for the patient and the operator. This article introduces a technique using a TPPB needle guide system with a novel angle-adjustment feature, which minimizes intrarectal transducer movements. Objectives: Freehand TPPB typically requires anterior or posterior angulation of the ultrasound (US) transducer, which leads to prostate More >

  • Open Access

    ARTICLE

    Associations of systemic immune-inflammation index, product of platelet, and neutrophil count, with the pathological grade of bladder cancer

    Lihao Zhang1,2, Lin Cao1,2, Lige Huang1,2, Jie Wang1,2, Jiabing Li2,3,*

    Canadian Journal of Urology, Vol.32, No.5, pp. 457-468, 2025, DOI:10.32604/cju.2025.067364 - 30 October 2025

    Abstract Background: Studies have indicated an association between inflammatory factors (IFs) in the blood and the development of bladder cancer (BC). This study aimed to explore the correlation and clinical significance of IFs with the pathological grading of BC. Methods: A retrospective analysis was conducted on the preoperative blood routine results, postoperative pathological findings, and baseline information of 163 patients. Patients were divided into high-grade and low-grade groups based on pathological grading. Group comparisons and logistic regression analyses were performed using R software version 4.1.3 to explore the relationships between IFs and BC pathological grading. Results: The… More >

  • Open Access

    REVIEW

    Is the Barthel index a valid tool for patient selection before urological surgery? A systematic review

    Andrea Panunzio1, Rossella Orlando1, Federico Greco2,3, Giovanni Mazzucato4, Floriana Luigina Rizzo1, Serena Domenica D’Elia1, Antonio Benito Porcaro5, Alessandro Antonelli5, Alessandro Tafuri1,6,*

    Canadian Journal of Urology, Vol.32, No.5, pp. 375-384, 2025, DOI:10.32604/cju.2025.066140 - 30 October 2025

    Abstract Background: The Barthel Index (BI) measures the level of patient independence in activities of daily living. This review aims to summarize current evidence on the use of the BI in urology, highlighting its potential as a tool for assessing patients prior to surgery. Materials and methods: A comprehensive search of PubMed, Scopus, and Web of Science databases was conducted for studies evaluating the BI in patients undergoing urologic surgery, following Systematic Review and Meta-analyses (PRISMA) guidelines. The BI was investigated both as a descriptor of baseline or postoperative health status and a prognostic indicator. A qualitative… More >

  • Open Access

    ARTICLE

    A Quantum-Enhanced Biometric Fusion Network for Cybersecurity Using Face and Voice Recognition

    Abrar M. Alajlan1,*, Abdul Razaque2

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 919-946, 2025, DOI:10.32604/cmes.2025.071996 - 30 October 2025

    Abstract Biometric authentication provides a reliable, user-specific approach for identity verification, significantly enhancing access control and security against unauthorized intrusions in cybersecurity. Unimodal biometric systems that rely on either face or voice recognition encounter several challenges, including inconsistent data quality, environmental noise, and susceptibility to spoofing attacks. To address these limitations, this research introduces a robust multi-modal biometric recognition framework, namely Quantum-Enhanced Biometric Fusion Network. The proposed model strengthens security and boosts recognition accuracy through the fusion of facial and voice features. Furthermore, the model employs advanced pre-processing techniques to generate high-quality facial images and voice… More >

  • Open Access

    ARTICLE

    GWO-LightGBM: A Hybrid Grey Wolf Optimized Light Gradient Boosting Model for Cyber-Physical System Security

    Adeel Munawar1, Muhammad Nadeem Ali2, Awais Qasim3, Byung-Seo Kim2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1189-1211, 2025, DOI:10.32604/cmes.2025.071876 - 30 October 2025

    Abstract Cyber-physical systems (CPS) represent a sophisticated integration of computational and physical components that power critical applications such as smart manufacturing, healthcare, and autonomous infrastructure. However, their extensive reliance on internet connectivity makes them increasingly susceptible to cyber threats, potentially leading to operational failures and data breaches. Furthermore, CPS faces significant threats related to unauthorized access, improper management, and tampering of the content it generates. In this paper, we propose an intrusion detection system (IDS) optimized for CPS environments using a hybrid approach by combining a nature-inspired feature selection scheme, such as Grey Wolf Optimization (GWO),… More >

  • Open Access

    REVIEW

    Bridging the Gap in Recycled Aggregate Concrete (RAC) Prediction: State-of-the-Art Data-Driven Framework, Model Benchmarking, and Future AI Integration

    Haoyun Fan1, Soon Poh Yap1,*, Shengkang Zhang1, Ahmed El-Shafie2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 17-65, 2025, DOI:10.32604/cmes.2025.070880 - 30 October 2025

    Abstract Data-driven research on recycled aggregate concrete (RAC) has long faced the challenge of lacking a unified testing standard dataset, hindering accurate model evaluation and trust in predictive outcomes. This paper reviews critical parameters influencing mechanical properties in 35 RAC studies, compiles four datasets encompassing these parameters, and compiles the performance and key findings of 77 published data-driven models. Baseline capability tests are conducted on the nine most used models. The paper also outlines advanced methodological frameworks for future RAC research, examining the principles and challenges of physics-informed neural networks (PINNs) and generative adversarial networks (GANs), More >

  • Open Access

    ARTICLE

    Efficient Malicious QR Code Detection System Using an Advanced Deep Learning Approach

    Abdulaziz A. Alsulami1, Qasem Abu Al-Haija2,*, Badraddin Alturki3, Ayman Yafoz1, Ali Alqahtani4, Raed Alsini1, Sami Saeed Binyamin5

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 1117-1140, 2025, DOI:10.32604/cmes.2025.070745 - 30 October 2025

    Abstract QR codes are widely used in applications such as information sharing, advertising, and digital payments. However, their growing adoption has made them attractive targets for malicious activities, including malware distribution and phishing attacks. Traditional detection approaches rely on URL analysis or image-based feature extraction, which may introduce significant computational overhead and limit real-time applicability, and their performance often depends on the quality of extracted features. Previous studies in malicious detection do not fully focus on QR code security when combining convolutional neural networks (CNNs) with recurrent neural networks (RNNs). This research proposes a deep learning… More >

  • Open Access

    ARTICLE

    A Flexible Decision Method for Holonic Smart Grids

    Ihab Taleb, Guillaume Guerard*, Frédéric Fauberteau, Nga Nguyen, Pascal Clain

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 597-619, 2025, DOI:10.32604/cmes.2025.070517 - 30 October 2025

    Abstract Isolated power systems, such as those on islands, face acute challenges in balancing energy demand with limited generation resources, making them particularly vulnerable to disruptions. This paper addresses these challenges by proposing a novel control and simulation framework based on a holonic multi-agent architecture, specifically developed as a digital twin for the Mayotte island grid. The primary contribution is a multi-objective optimization model, driven by a genetic algorithm, designed to enhance grid resilience through intelligent, decentralized decision-making. The efficacy of this architecture is validated through three distinct simulation scenarios: (1) a baseline scenario establishing nominal… More >

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