T. I. Eldho^1,*, Sanjukta Das¹, Aatish Anshuman², Tinesh Pathania³

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.078705 - 27 May 2026

Abstract In recent years, meshless methods have been increasingly applied to the simulation of various engineering problems due to their inherent advantages over traditional mesh-based approaches, including greater flexibility, independence from predefined meshing, simpler adaptive analysis, improved automation, and suitability for complex problems. Several meshless methods have been used for porous media simulation, and are broadly categorized into collocation, global weak form and local weak form methods. In this study, a comprehensive comparison of the applicability of these three categories of meshless methods for simulating coupled flow and transport problems in porous media is presented. The… More > Graphic Abstract

Menahil Rahman¹, Waqas Ishtiaq², Amerah Alabrah^3,*, Arif Mehmood⁴, Rana Faraz Ahmed⁴, Iqra Khalid⁵, Farhan Amin^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.078549 - 27 May 2026

Abstract Access to safe drinking water is a fundamental determinant of global health. The presence of contaminated water affects the citizens’ health. Per- and polyfluoroalkyl substances (PFAS) are often referred to as forever chemicals. They pose a persistent and growing threat to drinking water. In the literature, machine learning methods are used to identify the forever chemicals in water. However, traditional methods are not efficient and scalable. Thus, to solve this issue. This study develops a large-scale machine-learning framework for PFAS risk screening in US public water systems. The proposed framework incorporates data ingestion, preprocessing, and More >

Emerson de Medeiros de Sousa^1,#, Salvador Barros Torres^2,#, Marciana Bizerra de Morais^3,#, Clarisse Pereira Benedito², Kleane Targino Oliveira Pereira², Moadir de Sousa Leite², Maria Valdiglezia de Mesquita Arruda², Jéssica Christie Dantas de Oliveira Costa², Roseane Rodrigues de Oliveira², Giovanna Dias de Sousa², Cynthia Cavalcanti de Albuquerque³, Marco Porceddu⁴, Gianluigi Bacchetta⁴, Francisco Vanies da Silva Sá^5,*

Phyton-International Journal of Experimental Botany, Vol.95, No.5, 2026, DOI:10.32604/phyton.2026.078410 - 27 May 2026

Abstract Semiarid regions are frequently affected by low water availability, which hinders the development of horticultural species such as melon (Cucumis melo L.). In this context, techniques that enhance drought tolerance are essential for more effective crop management. This study aimed to evaluate the tolerance and antioxidant activity of different melon cultivars using seed pre-treatment with stress-attenuating agents. The experiment was conducted in two stages, both arranged in a completely randomized design with four replicates of 50 seeds. In the first stage, a 3 × 5 factorial scheme was used, combining three levels of water deficit (0.0,… More >

Zenghua Zhang^1,2, Yanchun Su^1,2, Zhijie Wei^1,2, Wensheng Zhou^1,2, Chen Liu^1,2, Engao Tang^1,2, Yanhong Wang³, Shanshan Li³, Rui Zhang^3,*

Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2026.077070 - 27 May 2026

Abstract Addressing the complexity of quality evaluation during the R&D phase of the waterflooding sandstone reservoir numerical simulator (OSIM), this study establishes a comprehensive assessment framework driven by client-side requirements. The novelty of this work lies in the integration of a client-driven 146-indicator hierarchy specifically tailored for iterative simulator R&D. First, a hierarchical software quality evaluation model is constructed, encompassing four primary dimensions and 146 secondary indicators. To mitigate the subjectivity inherent in traditional weight assignment, the Fuzzy Best-Worst Method (FBWM) is employed to determine indicator weights. Subsequently, the Technique for Order Preference by Similarity to… More >

Fayaz Ullah Shinwari¹, Mumtaz Ali Khan^2,*, Saad Khan^3,4, Rizwan Niaz⁵, Mansour Almazroui^6,7

Revue Internationale de Géomatique, Vol.35, pp. 273-290, 2026, DOI:10.32604/rig.2026.080586 - 21 May 2026

Abstract Groundwater is an essential resource contributing substantially to the annual total water supply. It enables agricultural irrigation and provides billions of people with their main source of drinking water. But overuse of groundwater has decreased its supply and, in certain places, resulted in soil subsidence. In the complex hydrogeological terrain of Timergara, traditional groundwater exploration is challenging and costly, requiring more efficient mapping approaches. Groundwater recharge potential zones must be assessed in order to guarantee sustainable groundwater management. This study uses Remote Sensing (RS) and Geographic Information System (GIS) methodologies to evaluate groundwater potential sites… More >

Jhoreene Julian¹, Jerome Gacu^2,3,4,*

Revue Internationale de Géomatique, Vol.35, pp. 205-247, 2026, DOI:10.32604/rig.2026.078160 - 19 May 2026

Abstract Surface water quality is a sensitive global environmental issue, as it is important for long-term economic development and environmental sustainability. Due to population growth, urbanization, and the effects of climate change, the degradation of surface water quality cannot be avoided. Therefore, a more accurate, continuous, and operational monitoring of water quality is highly significant. This study aims to systematically review and synthesize existing literature on the technological advancement, challenges, and future directions of Remote Sensing (RS) and Geographic Information System (GIS) techniques in surface water quality monitoring. Following PRISMA guidelines, a structured literature search of… More >

Yuanjing Luo^1,2,#, Xichen Tan^1,#, Yinuo Jiang¹, Zhiping Cai^1,*

CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.077803 - 08 May 2026

Abstract With increasing artwork plagiarism incidents, the necessity of using digital watermarking technology for high-quality artwork copyright protection is evident. Current digital watermarking methods are limited in imperceptibility and robustness. To address this, based on comprehensive copyright protection research, we develop a novel watermark framework named ArtFlow, using Invertible Neural Networks (INN). Our framework treats watermark embedding and recovery as inverse image transformations, implemented through forward and reverse processes of INN. To ensure high-quality watermark embedding, we utilize frequency domain transformations and attention mechanisms to guide the watermark into high-frequency areas of the image that have More >

Mohamed ElKashouty^1,*, Mohd Yawar Ali Khan^1,*, Samyah Salem Refadah²

Revue Internationale de Géomatique, Vol.35, pp. 161-177, 2026, DOI:10.32604/rig.2026.079702 - 30 April 2026

Abstract Water scarcity is a significant challenge in arid and semi-arid countries, underscoring the importance of thoroughly studying groundwater resources. Egypt, especially in the Darb El-Arbaein region of the southern Western Desert, faces various water challenges and relies primarily on groundwater from the Nubian Sandstone aquifer. Proper management of this groundwater is essential for addressing these challenges. The study examines the spatial and temporal variations in the hydrogeochemistry of the Nubian sandstone aquifer. Data collected from the aquifer’s monitoring network include key hydrogeochemical parameters, such as total dissolved solid (TDS) and piezometric heads, over different periods.… More >

Aimable Ngendahayo^1,*, Adrià Junyent-Ferré², Joan Marc Rodriguez Bernuz³

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.077594 - 27 April 2026

Abstract Bugesera, a historically drought-prone region in Rwanda, is undergoing transformation through investment in modern irrigation and sustainable agricultural practices. However, extending the national electrical grid to numerous dispersed smallholder farms poses a major challenge. The persistent water scarcity and rising conventional energy costs necessitate the development of innovative and sustainable solutions. This study investigates the use of photovoltaic (PV) pumping systems as a green energy alternative for off-grid rural areas, supporting both agricultural irrigation and domestic water supply. A model system serving five one-hectare market-gardening plots and 25 inhabitants was analyzed, with a total daily… More >

Fabiano Thulu, Zeyun Wu^*

Energy Engineering, Vol.123, No.5, 2026, DOI:10.32604/ee.2026.076328 - 27 April 2026

Abstract Real-time prediction of temperature distribution in the pressurizer walls of Pressurized Water Reactors (PWRs) during severe accidents, such as Station Blackout (SBO) and Loss-of-Coolant Accident (LOCA) is vital for structural integrity assessment. However, conventional thermal-hydraulic simulations used for such predictions are computationally intensive, limiting their applicability for real-time analysis. This study develops and compares three surrogate models: Polynomial Regression, Deep Neural Network (DNN), and a Physics-Informed Neural Network (PINN). Thermal-hydraulic simulation data generated by RELAP5-3D are integrated with physics-constrained learning techniques to model transient heat conduction in the pressurizer wall. The internal wall temperature evolution… More >