Nur Sabrina Jamal, Nabilah Naharudin^*

Revue Internationale de Géomatique, Vol.34, pp. 751-776, 2025, DOI:10.32604/rig.2025.071091 - 17 October 2025

Abstract Multicriteria Decision Analysis (MCDA) has been integrated with GIS modelling by many studies to aid the decision-making process. This integration enhances modelling by incorporating spatial relationships and using advanced techniques, including the combination of Frequency Ratio (FR) and Analytical Hierarchical Process (AHP), also known as FR-AHP. Although methods like Two-Steps Floating Catchment Area (2SFCA), AHP, and FR are widely applied in measuring accessibility, they have limitations in terms of threshold sensitivity and subjectivity. Hence, this study used FR-AHP, which combines the data-driven strength of FR and the structured decision-making technique of AHP to provide a… More >

Surender Singh^1,2,*, Naveen Bilandi^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 489-509, 2025, DOI:10.32604/cmes.2025.065101 - 31 July 2025

Abstract Wireless Body Area Network (WBAN) is essential for continuous health monitoring. However, they face energy efficiency challenges due to the low power consumption of sensor nodes. Current WBAN routing protocols face limitations in strategically minimizing energy consumption during the retrieval of vital health parameters. Efficient network traffic management remains a challenge, with existing approaches often resulting in increased delay and reduced throughput. Additionally, insufficient attention has been paid to enhancing channel capacity to maintain signal strength and mitigate fading effects under dynamic and robust operating scenarios. Several routing strategies and procedures have been developed to… More >

Sandra Gajević¹, Slavica Miladinović¹, Jelena Jovanović¹, Onur Güler², Serdar Özkaya², Blaža Stojanović^1,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 4341-4361, 2025, DOI:10.32604/cmc.2025.065645 - 30 July 2025

Abstract This paper presents an investigation of the tribological performance of AA2024–B₄C composites, with a specific focus on the influence of reinforcement and processing parameters. In this study three input parameters were varied: B₄C weight percentage, milling time, and normal load, to evaluate their effects on two output parameters: wear loss and the coefficient of friction. AA2024 alloy was used as the matrix alloy, while B₄C particles were used as reinforcement. Due to the high hardness and wear resistance of B₄C, the optimized composite shows strong potential for use in aerospace structural elements and automotive brake components. The… More >

Shah Zeb Khan¹, Muhammad Rahim², Adel M. Widyan^3,*, A. Almutairi³, Njood Shaher Ethaar Almutire³, Hamiden Abd El-Wahed Khalifa³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2185-2211, 2025, DOI:10.32604/cmes.2025.063929 - 30 May 2025

Abstract This study introduces a novel distance measure (DM) for spherical fuzzy sets (SFSs) to improve decision-making in complex and uncertain environments. Many existing distance measures either fail to satisfy essential axiomatic properties or produce unintuitive outcomes. To address these limitations, we propose a new three-dimensional divergence-based DM that ensures mathematical consistency, enhances the discrimination of information, and adheres to the axiomatic framework of distance theory. Building on this foundation, we construct a multi-criteria decision-making (MCDM) model that utilizes the proposed DM to evaluate and rank alternatives effectively. The applicability and robustness of the model are More >

Elhoucein Layati^*, Omaima Elkbichi, Bahija Choukri, Mohamed El Ghachi

Revue Internationale de Géomatique, Vol.34, pp. 277-300, 2025, DOI:10.32604/rig.2025.063846 - 30 May 2025

Abstract Awareness of the impact of climate change, urbanization, population growth, and anthropogenic pressure on surface waters has led to the need for specialized studies on groundwater potential. Groundwater is an important source of freshwater, particularly in regions where surface water is scarce. With climate change, the need to rely on these waters to cope with water shortages and rising demand is becoming increasingly apparent. Remote sensing, the Analytic Hierarchy Process (AHP), and the Geographic Information System (GIS) are advanced spatial tools used in this study to assess groundwater potential in the Oued Lakhdar watershed, which… More >

Jerome Gacu^1,2,3,*, John Angelo Venus¹, Cleo Faith Forio¹, Leo Banay¹, Eljay Soledad¹, Anabeth Famini¹, April Rose Fajiculay¹, Aprille Ann Sim¹, Jason Rufon¹

Revue Internationale de Géomatique, Vol.34, pp. 235-257, 2025, DOI:10.32604/rig.2025.063512 - 25 April 2025

Abstract The rapid urbanization of rural areas often leads to the construction of medium to high-rise buildings without adequate knowledge of ground suitability, posing significant risks to structural safety and long-term development. This study addresses this critical issue by developing a Comprehensive Ground Suitability Index (CGSI) framework tailored for rural municipalities. Using Geographic Information Systems (GIS) and the Analytic Hierarchy Process (AHP), the CGSI integrates geophysical, geo-environmental, and geohazard parameters to systematically evaluate land suitability for construction. Data were collected from government agencies, previous studies, and field surveys focusing on the Municipality of Odiongan, Romblon. Parameters… More >

Bernard Bayangbe^1,*, Ababacar Thiam^1,2, El hadji I. Cissé², Kory Faye¹

Energy Engineering, Vol.122, No.3, pp. 943-969, 2025, DOI:10.32604/ee.2025.060273 - 07 March 2025

Abstract Concentrating Solar Power (CSP) is one of the most promising solar technologies for sustainable power generation in countries with high solar potential, like Chad. Identifying suitable sites is of great importance for deploying solar power plants. This work focuses on the identification of potential sites for the installation of solar power plants in Chad as well as a comparative analysis using the Analytical Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Process (FAHP), and Full Consistency Method (FUCOM). The results show that 35% of the Chadian territory, i.e., an area of 449,400 km², is compatible with the implementation… More >

Nilotpal Kalita^1,*, Ashok Kumar Bora², Rana Sarmah³, Dhrubajyoti Sahariah², Manash Jyoti Nath^2,*

Revue Internationale de Géomatique, Vol.34, pp. 37-51, 2025, DOI:10.32604/rig.2024.058265 - 13 January 2025

Abstract Flooding is a natural event often associated with floodplain areas, characterised by large, sudden and significant rises in river water levels that drastically alters the surrounding landscape. The research employs ArcGIS tools, multi-criteria evaluation techniques and the Maximum Entropy (MaxEnt) model to assess flood hazard zones. The key physical elements of slope, elevation, rainfall, drainage density, land use, and soil types have been integrated to identify areas vulnerable to flooding. Overlay analysis has been used to construct zones specifically designated for flood hazards. Additionally, pairwise comparison using Saaty’s scale was employed to calculate the Eigenvector More > Graphic Abstract

Muhammad Salahuddin Mohamad Shahrul Annuar, Nabilah Naharudin^*, Nur Aina Adiela Azmi, Nafisah Khalid

Revue Internationale de Géomatique, Vol.34, pp. 53-69, 2025, DOI:10.32604/rig.2025.058078 - 13 January 2025

Abstract Tourism trails connect destinations, points of interest, and travel-related businesses. By enhancing connectivity, these trails reduce travel time, allowing tourists to maximize their exploration of sites, leading to more efficient and satisfying travel experiences. The rising popularity of e-scooters in urban areas has highlighted the need to identify safe and accessible routes, particularly in cities where safety concerns have led to restrictions. Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) network analysis can be employed to determine optimal paths by considering multiple criteria. This study focuses on finding an optimal street art trail for… More >

Yao Jin^1,2,*, Jie Zhao^1,2, Xiaozhe Tan^1,2, Linghou Miao^1,2, Wenxing Yu^1,2

Digital Engineering and Digital Twin, Vol.2, pp. 131-144, 2024, DOI:10.32604/dedt.2024.048142 - 31 December 2024

Abstract Substation siting is an important foundation and a key task in power system planning. The article is based on a three-dimensional GIS platform combined with an improved BP neural network algorithm and proposes a substation siting method that is more efficient, accurate and provides a better user experience. Firstly, the BP algorithm is enhanced to improve its convergence speed and computational efficiency for a more accurate and reasonable calculation of optimal site selection. Then, a 24-item selection index system with 7 categories is proposed, which provides quantifiable data support and an evaluation basis for substation… More >