Shaojie Min¹, Yaxiao Luo¹, Kebing Liu¹, Qingyuan Gong², Yang Chen^1,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-23, 2026, DOI:10.32604/cmc.2025.073175 - 09 December 2025

Abstract User identity linkage (UIL) across online social networks seeks to match accounts belonging to the same real-world individual. This cross-platform mapping enables accurate user modeling but also raises serious privacy risks. Over the past decade, the research community has developed a wide range of UIL methods, from structural embeddings to multimodal fusion architectures. However, corresponding adversarial and defensive approaches remain fragmented and comparatively understudied. In this survey, we provide a unified overview of both mapping and anti-mapping methods for UIL. We categorize representative mapping models by learning paradigm and data modality, and systematically compare them… More >

Md Shohel Rana^1,2,3,4,*, Tonmoy Ghosh³, Mohammad Nur Nobi⁵, Anichur Rahman^1,6,*, Andrew H. Sung⁴

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-38, 2026, DOI:10.32604/cmc.2025.069212 - 10 November 2025

Abstract Zero-click attacks represent an advanced cybersecurity threat, capable of compromising devices without user interaction. High-profile examples such as Pegasus, Simjacker, Bluebugging, and Bluesnarfing exploit hidden vulnerabilities in software and communication protocols to silently gain access, exfiltrate data, and enable long-term surveillance. Their stealth and ability to evade traditional defenses make detection and mitigation highly challenging. This paper addresses these threats by systematically mapping the tactics and techniques of zero-click attacks using the MITRE ATT&CK framework, a widely adopted standard for modeling adversarial behavior. Through this mapping, we categorize real-world attack vectors and better understand how… More >

Saurabh Singh^1,2, Sudip Pandey^3,*, Ankush Kumar Jain¹

Revue Internationale de Géomatique, Vol.34, pp. 899-914, 2025, DOI:10.32604/rig.2025.071156 - 09 December 2025

Abstract Urban expansion in semi-arid regions poses critical challenges for sustainable land management, ecological resilience, and heritage conservation. Jaipur, India—a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage City located in a semi-arid environment—faces rapid urbanization that threatens agricultural productivity, fragile ecosystems, and cultural assets. This study quantifies past and projects future land use/land cover (LULC) dynamics in Jaipur to support evidence-based planning. Using the Dynamic World dataset, we generated annual 10-m LULC maps from 2016 to 2025 within the municipal boundary. Temporal change detection was conducted through empirical transition probability analysis, and future… More >

Ihsan Qadir¹, Usama Naeem², Ahmed Nouman³, Aamir Raza⁴, Jun Wu^1,*

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 >

Yan Eng Tan^*, Siti Nur Aliaa Roslan

Revue Internationale de Géomatique, Vol.34, pp. 777-791, 2025, DOI:10.32604/rig.2025.070997 - 23 October 2025

Abstract Sinkholes, typically associated with karst landscapes, are emerging as significant geohazards in rapidly urbanising regions such as Kuala Lumpur, where human activities like land development, underground infrastructure, and groundwater extraction exacerbate subsurface instability. Despite their destructive potential, sinkholes remain under-monitored in Malaysia due to fragmented data and the lack of predictive spatial tools. This study aimed to develop a web-based, machine learning-driven framework for sinkhole susceptibility mapping to support public awareness, hazard mitigation, and geospatially informed urban planning. The framework was implemented using Google Earth Engine and Google Colab, focusing on Kuala Lumpur and parts… More >

Mohammed Albekairi¹, Radhia Khdhir^2,*, Amina Magdich³, Somia Asklany^4,*, Ghulam Abbas⁵, Amr Yousef ^6,7

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3607-3644, 2025, DOI:10.32604/cmes.2025.069681 - 30 September 2025

Abstract License plate recognition in haze-affected images is challenging due to feature distortions such as blurring and elongation, which lead to pixel displacements. This article introduces a Displacement Region Recognition Method (DR2M) to address such a problem. This method operates on displaced features compared to the training input observed throughout definite time frames. The technique focuses on detecting features that remain relatively stable under haze, using a frame-based analysis to isolate edges minimally affected by visual noise. The edge detection failures are identified using a bilateral neural network through displaced feature training. The training converges bilaterally… More >

Ragava Raja R^1,2,*, Girish Khanna R³

Journal on Artificial Intelligence, Vol.7, pp. 301-327, 2025, DOI:10.32604/jai.2025.069693 - 22 September 2025

Abstract Packaging materials are indispensable in modern industries but also significantly contribute to environmental degradation, resource consumption, and waste generation. This systematic review critically assesses the integration of artificial intelligence (AI), life cycle sustainability assessment (LCSA) following ISO 14040 standards, and circularity mapping to overcome sustainability barriers in packaging. The study identifies environmental, economic, and social hotspots across the life cycle stages of packaging materials by examining real-world case studies such as Coca-Cola’s adoption of recycled PET bottles and Unilever’s commitment to 100% recyclable plastic. AI technologies highlight transformative tools for optimising resource allocation, enhancing waste… More >

Gaurav Saxena¹, Kiran Napte², Neeraj Kumar Shukla^3,4, Sushma Parihar^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2307-2323, 2025, DOI:10.32604/cmes.2025.067530 - 31 August 2025

Abstract The ill-posed character of haze or fog makes it difficult to remove from a single image. While most existing methods rely on a transmission map refined through depth estimation and assume a constant scattering coefficient, this assumption limits their effectiveness. In this paper, we propose an enhanced transmission map that incorporates spatially varying scattering information inherent in hazy images. To improve linearity, the model utilizes the ratio of the difference between intensity and saturation to their sum. Our approach also addresses critical issues such as edge preservation and color fidelity. In terms of qualitative as More >

Nurfarahin Roslan¹, Massoomeh Hedayati Marzbali^1,*, Aldrin Abdullah¹, Ang See May²

Revue Internationale de Géomatique, Vol.34, pp. 553-567, 2025, DOI:10.32604/rig.2025.066073 - 06 August 2025

Abstract Urban green spaces play a crucial role in improving the well-being of city dwellers, offering recreational benefits that contribute to physical health. However, challenges remain in ensuring these spaces are distributed equitably and are accessible to all. This research examines the distribution and accessibility of green spaces in Bayan Lepas, Penang, Malaysia. The study focuses on evaluating three key factors: (1) the uniformity of green space distribution in the area, (2) the proportion of residents who can access green spaces within a 300-m walk, and (3) the identification of regions that lack sufficient green spaces,… More > Graphic Abstract

Nurul A. Asram¹, Eran S. S. Md Sadek^2,*

Revue Internationale de Géomatique, Vol.34, pp. 619-637, 2025, DOI:10.32604/rig.2025.065667 - 06 August 2025

Abstract Landslides are a frequent geomorphological hazard in tropical regions, particularly where steep terrain and high precipitation coincide. This study evaluates landslide susceptibility in the Jelapang area of Perak, Malaysia, using Shannon Entropy-weighted bivariate models (i.e., Frequency Ratio, Information Value, and Weight of Evidence), in comparison with Logistic Regression. Seven conditioning factors were selected based on their geomorphological relevance and tested for multicollinearity: slope gradient, slope aspect, curvature, vegetation cover, lineament density, terrain ruggedness index, and flow accumulation. Each model generated susceptibility maps, which were validated using Receiver Operating Characteristic curves and Area Under the Curve… More >