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  • Open Access

    ARTICLE

    Semi-Fragile Image Watermarking Using Quantization-Based DCT for Tamper Localization

    Agit Amrullah, Ferda Ernawan*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-16, 2026, DOI:10.32604/cmc.2025.069229 - 09 December 2025

    Abstract This paper proposes a tamper detection technique for semi-fragile watermarking using Quantization-based Discrete Cosine Transform (DCT) for tamper localization. In this study, the proposed embedding strategy is investigated by experimental tests over the diagonal order of the DCT coefficients. The cover image is divided into non-overlapping blocks of size 8 × 8 pixels. The DCT is applied to each block, and the coefficients are arranged using a zig-zag pattern within the block. In this study, the low-frequency coefficients are selected to examine the impact of the imperceptibility score and tamper detection accuracy. High accuracy of… More >

  • Open Access

    ARTICLE

    FENet: Underwater Image Enhancement via Frequency Domain Enhancement and Edge-Guided Refinement

    Xinwei Zhu, Jianxun Zhang*, Huan Zeng

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-25, 2026, DOI:10.32604/cmc.2025.068578 - 09 December 2025

    Abstract Underwater images often affect the effectiveness of underwater visual tasks due to problems such as light scattering, color distortion, and detail blurring, limiting their application performance. Existing underwater image enhancement methods, although they can improve the image quality to some extent, often lead to problems such as detail loss and edge blurring. To address these problems, we propose FENet, an efficient underwater image enhancement method. FENet first obtains three different scales of images by image downsampling and then transforms them into the frequency domain to extract the low-frequency and high-frequency spectra, respectively. Then, a distance… More >

  • Open Access

    ARTICLE

    Artificial Neural Network Model for Thermal Conductivity Estimation of Metal Oxide Water-Based Nanofluids

    Nikhil S. Mane1, Sheetal Kumar Dewangan2,*, Sayantan Mukherjee3, Pradnyavati Mane4, Deepak Kumar Singh1, Ravindra Singh Saluja5

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.072090 - 10 November 2025

    Abstract The thermal conductivity of nanofluids is an important property that influences the heat transfer capabilities of nanofluids. Researchers rely on experimental investigations to explore nanofluid properties, as it is a necessary step before their practical application. As these investigations are time and resource-consuming undertakings, an effective prediction model can significantly improve the efficiency of research operations. In this work, an Artificial Neural Network (ANN) model is developed to predict the thermal conductivity of metal oxide water-based nanofluid. For this, a comprehensive set of 691 data points was collected from the literature. This dataset is split More >

  • Open Access

    ARTICLE

    Multi-Feature Fragile Image Watermarking Algorithm for Tampering Blind-Detection and Content Self-Recovery

    Qiuling Wu1,*, Hao Li1, Mingjian Li1, Ming Wang2

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-20, 2026, DOI:10.32604/cmc.2025.068220 - 10 November 2025

    Abstract Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright. However, in practical applications, this technology faces various problems such as severe image distortion, inaccurate localization of the tampered regions, and difficulty in recovering content. Given these shortcomings, a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed. The multi-feature watermarking authentication code (AC) is constructed using texture feature of local binary patterns (LBP), direct coefficient of discrete cosine transform (DCT) and contrast feature of gray level co-occurrence matrix (GLCM) for detecting the tampered region, and the… More >

  • Open Access

    ARTICLE

    Synergistic Effects of Melatonin and Methyl Jasmonate in Mitigating Drought-Induced Oxidative Stress in Common Bean (Phaseolus vulgaris)

    Totan Kumar Ghosh1, Md. Roushonuzzaman Rakib1, Munna1, S. M. Zubair AL-Meraj1, Md. Moshiul Islam2, Anika Nazran1, Mohammad Golam Mostofa3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3925-3943, 2025, DOI:10.32604/phyton.2025.073382 - 29 December 2025

    Abstract The productivity of common bean (Phaseolus vulgaris L.), an economically important legume, is severely hindered by drought stress. While melatonin (Mel) and methyl jasmonate (MeJA) are known to alleviate abiotic stresses, their combined effects in mitigating drought-induced oxidative stress are unknown. Here, we examined the synergistic effects of Mel and MeJA in alleviating drought-associated oxidative damage in common bean. Compared with well-watered controls, drought stress caused a significant decline in plant biomass, photosynthetic pigments, and photosystem II efficiency (Fv/Fm). Drought also significantly increased hydrogen peroxide (H2O2) accumulation, which likely contributed to membrane lipid peroxidation, as indicated by… More >

  • Open Access

    ARTICLE

    A Novel Multi-Step Numerical Framework for Ice Accretion Prediction Based on Unsteady Water Film Dynamics

    Ke Shen1,2,*, Dan Zeng1,2, Changhao Wang1, Lei Wang1, Yuliang Dong1

    Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1957-1980, 2025, DOI:10.32604/fhmt.2025.070396 - 31 December 2025

    Abstract Ice accretion on aircraft poses a critical threat to flight safety by significantly altering aerodynamic performance. This study presents a novel numerical framework for ice accretion prediction, developed by extending the Myers model and incorporating an advanced multi-step approach. The proposed framework integrates ice layer growth into the modeling of unsteady water film dynamics and introduces a revised criterion for determining the icing condition. A multi-step scheme, accounting for the continuous variation of physical parameters, is implemented to enhance computational accuracy. The framework is validated through simulations on both 2D and 3D configurations. For the… More > Graphic Abstract

    A Novel Multi-Step Numerical Framework for Ice Accretion Prediction Based on Unsteady Water Film Dynamics

  • Open Access

    ARTICLE

    Analysis of Air Conditioning Unit Performance Due to Variations in Water Cooling Temperature Using an Extra Cooling Water Loop

    Noor Moneer Basher1, Omar Rafae Alomar1,*, Omar Mohammed Ali2, Diyar Abdullah Ahmed3

    Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 2001-2024, 2025, DOI:10.32604/fhmt.2025.066997 - 31 December 2025

    Abstract The energy consumption of a Split air conditioning unit (ACU) inside a building is extremely large, and efforts to decrease this issue are ongoing. The current work aims to experimentally investigate the thermal performance of ACU using an external cooling-water loop for pre-cooling the condenser to improve the efficiency and to reduce energy consumption by reducing refrigerant temperature before entering the condenser, thereby reducing the coefficient of performance. The experiments are performed on ACU with and without using an external cooling-water loop under different climate conditions. By using the experimental data, the systems’ performances for… More >

  • Open Access

    REVIEW

    Research Progress in the Preparation of MOF/Cellulose Composites and Their Applications in Fluorescent Detection, Adsorption, and Degradation of Pollutants in Wastewater

    Zhimin Zhao, Liyun Feng, Dongsheng Song, Ming Zhang*

    Journal of Polymer Materials, Vol.42, No.4, pp. 929-957, 2025, DOI:10.32604/jpm.2025.074529 - 26 December 2025

    Abstract Global water pollution is becoming increasingly serious, and compound pollutants such as heavy metals and organic dyes pose multidimensional threats to ecology and human health. Metal-organic skeleton compounds (MOFs) have been proven to be highly efficient in capturing a variety of pollutants by virtue of their large specific surface area, adjustable pore channels, and abundant active sites. However, the easy agglomeration of powders, the difficulty of recycling, and the poor long-term stability have limited their practical applications. Cellulose, as the most abundant renewable polymer in nature, has the characteristics of a three-dimensional network, mechanical flexibility,… More >

  • Open Access

    ARTICLE

    Performance Evaluation of Hierarchically Structured Superhydrophobic PVDF Membranes for Heavy Metals Removal via Membrane Distillation

    Pooja Yadav1,*, Ramin Farnood2, Vivek Kumar1,*

    Journal of Polymer Materials, Vol.42, No.4, pp. 1181-1197, 2025, DOI:10.32604/jpm.2025.072564 - 26 December 2025

    Abstract Heavy metal contamination in water sources is a widespread global concern, particularly in developing nations, with various treatment approaches under extensive scientific investigation. In the present study, we fabricated electrospun composite polyvinylidene fluoride (PVDF) nanofibrous membranes exhibiting hierarchical surface roughness and superhydrophobicity for the removal of heavy metal ions via vacuum membrane distillation (VMD) process. The membranes were prepared by incorporating optimized dosing of silica nanoparticles, followed by a two-step membrane modification approach. These membranes exhibited notable characteristics, including elevated water contact angle (152.8 ± 3.2°), increased liquid entry pressure (127 ± 6 kPa), and… More > Graphic Abstract

    Performance Evaluation of Hierarchically Structured Superhydrophobic PVDF Membranes for Heavy Metals Removal via Membrane Distillation

  • Open Access

    ARTICLE

    Synthesis of Hyperbranched Polyethyleneimine-Propylene Oxide-N-isopropylacrylamide (HPEI-co-PO-co-NIPAM) Terpolymer as a Shale Inhibitor

    Wenjun Hu, Liquan Zhang*

    Journal of Polymer Materials, Vol.42, No.4, pp. 1159-1179, 2025, DOI:10.32604/jpm.2025.072450 - 26 December 2025

    Abstract Addressing the persistent challenge of shale hydration and swelling in water-based drilling fluids (WBDFs), this study developed a smart thermo-responsive shale inhibitor, Hyperbranched Polyethyleneimine-Propylene Oxide-N-isopropylacrylamide (HPN). It was synthesized by grafting hyperbranched polyethyleneimine (HPEI) with propylene oxide (PO) and N-isopropylacrylamide (NIPAM), creating a synergistic hydration barrier through hydrophobic association and temperature-triggered pore plugging. Structural characterization by Fourier-Transform Infrared (FTIR) spectroscopy and gel permeation chromatography (GPC) confirmed the successful formation of the HPN terpolymer, revealing a unique “cationic–nonionic” amphiphilic architecture with temperature-responsive properties. Performance evaluation demonstrated that HPN significantly outperforms conventional inhibitors, including potassium chloride (KCl),… More >

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