Tarek Muallim¹, Haluk Kucuk^2,*, Muhammet Bareket¹, Metin Kahraman¹

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3557-3581, 2025, DOI:10.32604/cmes.2025.064733 - 30 June 2025

Abstract This study introduces a lightweight deep learning model and a novel synthetic dataset designed to restore damaged one-dimensional (1D) barcodes and Quick Response (QR) codes, addressing critical challenges in logistics operations. The proposed solution leverages an efficient Pix2Pix-based framework, a type of conditional Generative Adversarial Network (GAN) optimized for image-to-image translation tasks, enabling the recovery of degraded barcodes and QR codes with minimal computational overhead. A core contribution of this work is the development of a synthetic dataset that simulates realistic damage scenarios frequently encountered in logistics environments, such as low contrast, misalignment, physical wear,… More >

Sahbi Boubaker^1,*, Sameer Al-Dahidi², Faisal S. Alsubaei³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3583-3614, 2025, DOI:10.32604/cmes.2025.063957 - 30 June 2025

Abstract The transportation and logistics sectors are major contributors to Greenhouse Gase (GHG) emissions. Carbon dioxide (CO₂) from Light-Duty Vehicles (LDVs) is posing serious risks to air quality and public health. Understanding the extent of LDVs’ impact on climate change and human well-being is crucial for informed decision-making and effective mitigation strategies. This study investigates the predictability of CO₂ emissions from LDVs using a comprehensive dataset that includes vehicles from various manufacturers, their CO₂ emission levels, and key influencing factors. Specifically, six Machine Learning (ML) algorithms, ranging from simple linear models to complex non-linear models, were applied under… More >

Zhiqiang Jiang¹, Zili Li¹, Bin Liang², Miao He¹, Weishou Hu³, Jun Tang³, Chao Song⁴, Nanxin Zheng^5,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.6, pp. 1397-1416, 2025, DOI:10.32604/fdmp.2025.062737 - 30 June 2025

Abstract Microbial polysaccharides, due to their unique physicochemical properties, have been shown to effectively enhance the stability of foam fracturing fluids. However, the combined application of microbial polysaccharides and surfactants under high-temperature and high-salinity conditions remain poorly understood. In this study, we innovatively investigate this problem with a particular focus on foam stabilization mechanisms. By employing the Waring blender method, the optimal surfactant-microbial polysaccharide blends are identified, and the foam stability, rheological properties, and decay behavior in different systems under varying conditions are systematically analyzed for the first time. The results reveal that microbial polysaccharides significantly More >

Harsh Kumar¹, Shilpa Suman², Abhishek Rawat^2,*, Rajat Subhra Chatterjee³, Dheeraj Kumar⁴, B. S. Chaudhary⁵

Revue Internationale de Géomatique, Vol.34, pp. 351-362, 2025, DOI:10.32604/rig.2025.064031 - 30 June 2025

Abstract The unconsolidated soils of the Indo-Gangetic Plains (IGP) contribute significantly to the amplification of seismic damage during earthquakes. Site-specific effects play a critical role in intensifying ground motion and shaping the spatial distribution of seismic hazards. This study aims to investigate the spatial variability of seismic hazards using geophysical and geological parameters such as lithology, shear wave velocity, soil texture, basement depth, and proximity to fault lines. Training data were derived from common hazard points identified in earthquake catalogues. Several machine learning (ML) models, including Logistic Regression (LR), K-Nearest Neighbors, Random Forest, and Decision Tree, More >

Jing Hu^*, Xiaoyu Zhang

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 957-974, 2025, DOI:10.32604/fhmt.2025.064892 - 30 June 2025

Abstract As a core power device in strategic industries such as new energy power generation and electric vehicles, the thermal reliability of IGBT modules directly determines the performance and lifetime of the whole system. A synergistic optimization structure of “inlet plate-channel spoiler columns” is proposed for the local hot spot problem during the operation of Insulated Gate Bipolar Transistor (IGBT), combined with the inherent defect of uneven flow distribution of the traditional U-type liquid cooling plate in this paper. The influences of the shape, height (H), and spacing from the spoiler column (b) of the plate on… More > Graphic Abstract

YA-LING YEH¹, YING-JAN WANG¹, SHOEI-YN LIN-SHIAU^2,3,*

Oncology Research, Vol.33, No.7, pp. 1781-1796, 2025, DOI:10.32604/or.2025.063717 - 26 June 2025

Abstract Background: The increasing incidence of cancers and infectious diseases worldwide presents a significant public health challenge that requires immediate intervention. Our strategy to tackle this issue involves the development of pharmaceutical formulations that combine phytopolyphenols (P), targeted drugs (T), and metal ions (M), collectively referred to as PTM regimens. The diverse pharmacological properties of PTM regimens are hypothesized to effectively reduce the risk factors associated with both cancers and infectious diseases. Methods: The effects of the pharmaceutical agents on the proliferation of cultured cancer cells and pathogens were assessed after 72 h and 48 h,… More >

Hou Jiang^*

Revue Internationale de Géomatique, Vol.34, pp. 333-334, 2025, DOI:10.32604/rig.2025.067517 - 05 June 2025

Abstract This article has no abstract. More >

Yongli Liu^1,2, Weihao Li^1,2,*, Haitao Wang^1,2,3, Taoren Du⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 2261-2286, 2025, DOI:10.32604/cmes.2025.064179 - 30 May 2025

Abstract Coal dust explosions are severe safety accidents in coal mine production, posing significant threats to life and property. Predicting the maximum explosion pressure () of coal dust using deep learning models can effectively assess potential risks and provide a scientific basis for preventing coal dust explosions. In this study, a 20-L explosion sphere apparatus was used to test the maximum explosion pressure of coal dust under seven different particle sizes and ten mass concentrations (), resulting in a dataset of 70 experimental groups. Through Spearman correlation analysis and random forest feature selection methods, particle size… 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 >