Izzah Liyanamadihah Ibrahim¹, Nurhanisah Hashim^1,*, Ainon Nisa Othman^1,*, Noorfatekah Talib², Sarah Shaharuddin³

Revue Internationale de Géomatique, Vol.34, pp. 915-937, 2025, DOI:10.32604/rig.2025.072321 - 09 December 2025

Abstract This study aims to assess landslide susceptibility in Hulu Selangor, Selangor, Malaysia, an area that is exposed to rapid industrial and infrastructural growth. Six conditioning factors, such as slope, land use, lithology, road proximity, and river proximity, were integrated through the Analytic Hierarchy Process (AHP) in a GIS environment. The weights distribution analysis revealed slope (40.50%) and lithology (23.12%) as the most important factors, followed by river proximity (15.09%) and road proximity (13.76%). The developed susceptibility map was divided into five zones: very low (12.4%), low (18.7%), medium (35.6%), high (22.1%), and very high (11.2%).… 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 >

Chih-Yu Liu^1,2, Cheng-Yu Ku^1,2,*, Ming-Han Tsai¹, Jia-Yi You³

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 2969-2990, 2025, DOI:10.32604/cmes.2025.070663 - 30 September 2025

Abstract Amid growing typhoon risks driven by climate change with projected shifts in precipitation intensity and temperature patterns, Taiwan faces increasing challenges in flood risk. In response, this study proposes a geographic information system (GIS)-based artificial intelligence (AI) model to assess flood susceptibility in Keelung City, integrating geospatial and hydrometeorological data collected during Typhoon Krathon (2024). The model employs the random forest (RF) algorithm, using seven environmental variables excluding average elevation, slope, topographic wetness index (TWI), frequency of cumulative rainfall threshold exceedance, normalized difference vegetation index (NDVI), flow accumulation, and drainage density, with the number of… More >

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 >

Nur Azreena Idris^1,*, Madihah Ahmad Zairun², Aisyah Humaira Alias¹, Zawawi Ibrahim¹, Noorshamsiana Abdul Wahab¹

Journal of Renewable Materials, Vol.13, No.1, pp. 163-180, 2025, DOI:10.32604/jrm.2024.053388 - 20 January 2025

Abstract The utilization of oil palm biomass in the production of high-value products has increased substantially. Due to the presence of sugars and starches in their tissues, oil palms have an exceptionally low natural resistance to fungi, making them susceptible to contamination. In this study, the properties of particleboard made from oil palm fibers, namely empty fruit bunches (EFB), oil palm trunks (OPT), and oil palm fronds (OPF) fibers and its potential for fungal attack were evaluated. The chemical composition, spectroscopic characterization, morphological features, and elemental analysis of oil palm biomass fibers were identified and thoroughly… More > Graphic Abstract

Duc-Dam Nguyen¹, Nguyen Viet Tiep^2,*, Quynh-Anh Thi Bui¹, Hiep Van Le¹, Indra Prakash³, Romulus Costache^4,5,6,7, Manish Pandey^8,9, Binh Thai Pham¹

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 467-500, 2025, DOI:10.32604/cmes.2024.056576 - 17 December 2024

Abstract This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand, India, using advanced ensemble models that combined Radial Basis Function Networks (RBFN) with three ensemble learning techniques: DAGGING (DG), MULTIBOOST (MB), and ADABOOST (AB). This combination resulted in three distinct ensemble models: DG-RBFN, MB-RBFN, and AB-RBFN. Additionally, a traditional weighted method, Information Value (IV), and a benchmark machine learning (ML) model, Multilayer Perceptron Neural Network (MLP), were employed for comparison and validation. The models were developed using ten landslide conditioning factors, which included slope, aspect, elevation, curvature, land cover, geomorphology,… More >

B. M. Alotaibi^a, Thaqal M. Alhuzaymi^b, Mohammed F. Alotiby^b, Sayed A. Makhlouf^c, Kh. S. Shaaban^d, E. A. Abdel Wahab^c,*

Chalcogenide Letters, Vol.21, No.8, pp. 583-604, 2024, DOI:10.15251/CL.2024.218.583

Abstract The chemical composition of the following glass system 75Li₂B₄O₇-10CdO-(15-x)BaO- xTm₂O₃ (0 ≤ x ≤ 2) mol.% has been fabricated using a traditional melt quenching procedure. The density of the synthesis samples has been measured and it enhanced with the rising Tm₂O₃ content. All the fabricated specimens form glass and the amorphous state have been confirmed the XRD. The spectroscopic investigation indicates an increase in the energy gap from 3.08 to 3.25 eV with increasing Tm₂O₃ concentrations. The refractive index, basicity and static and infinity of dielectric constant were taken place of present investigated. The ultrasonic velocities of More >

Maan Habib^1,*, Ahed Habib², Mohammad Abboud³

Revue Internationale de Géomatique, Vol.33, pp. 247-271, 2024, DOI:10.32604/rig.2024.053857 - 07 August 2024

Abstract Digital elevation models (DEMs) are essential tools in environmental science, particularly for hazard assessments and landscape analyses. However, their application across multiple environmental hazards simultaneously remains in need for a multi-aspect critical assessment to promote their effectiveness in comprehensive risk management. This paper aims to review and critically assess the application of DEMs in mapping and managing specific environmental hazards, namely floods, landslides, and coastal erosion. In this regard, it seeks to promote their utility of hazard maps as key tools in disaster risk reduction and environmental planning by employing high-resolution DEMs integrated with advanced More >

P. Yadav^a, C. Tyagi^b,*, A. Devi^c, N. Gahlot^d

Chalcogenide Letters, Vol.20, No.5, pp. 353-365, 2023, DOI:10.15251/CL.2023.205.353

Abstract The present work reports the influence of selenium replacement by bismuth on the nonlinear optical parameters of ternary Se_85-xTe₁₅Bi_x (x=0, 1, 2, 3, 4, 5 atomic %) chalcogenide thin films. Calculation of nonlinear refractive index (n_{2>/sub>), two-photon absorption coefficient (β2>/sub>) and third-order susceptibility (χ ⁽³⁾ ) by well known Z-scan technique with femtosecond laser pulses were done. The Z-scan spectra for Se85-xTe15Bix upto Bi= 4 atomic % results in self- focusing behavior of n2>/sub> is positive while for Bi=5 atomic % n2>/sub> is negative. The behavior of n2>/sub> by using different physical parameters are exlpained. The comparison of experimental} More >

N. V. Urusova^a,*, A. I. Merentsov^b,c, E. A. Stepanova^a,c, O. G. Reznitskikh^a

Chalcogenide Letters, Vol.20, No.5, pp. 343-351, 2023, DOI:10.15251/CL.2023.205.343

Abstract Co_xTiS₂ (x = 0.20, 0.30, 0.50, 0.75) compounds have a layered crystal structure with Ti atoms surrounded by the S octahedrons in the S-Ti-S layers and Co ions which could be surrounded both by the S octahedrons and tetrahedrons. The features of the crystal structure and magnetic properties of the polycrystalline Co_xTiS₂ samples were studied as a function of the cobalt concentration using X-ray diffraction and magnetization measurements. The disordered state of the Co atoms (x < 0.20) changes to the ordered one (x ≥ 0.20). The magnetic ordering arises at x = 0.20 with mostly More >