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  • Open Access

    ARTICLE

    Green Synthesis of Reduced Graphene Oxide Nanosheet by using L-ascorbic Acid and Study of its Cytotoxicity on Human Cervical Cancer Cell Line

    PRABHAT KUMAR, ANJANA SARKAR, PURNIMA JAIN*

    Journal of Polymer Materials, Vol.39, No.1-2, pp. 121-135, 2022, DOI:10.32381/JPM.2022.39.1-2.8

    Abstract Biocompatible graphene derivative materials (GBMs) to harness the maximum potential of pristine graphene biologically, is the most important strategy for its advanced applications in pharmaceutical and other biomedical fields. Currently, scientists are trying to find this by using biopolymer nanocomposites or anchored materials. Nevertheless, tuning the bare GBMs towards biocompatibility is a beautiful approach to exploit the fundamental potential of pristine graphene vis-à-vis suppressing the effects of incorporated biopolymers or anchored materials. Herein, a large-scale, cost-effective, facile, and environment-friendly green synthetic strategy is used for the synthesis of reduced graphene oxide (rGO) nanosheet using L-ascorbic acid (L-AA) as a reducing/stabilizing/capping… More >

  • Open Access

    ARTICLE

    Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

    Ibrahim M. Alwayle1, Hala J. Alshahrani2, Saud S. Alotaibi3, Khaled M. Alalayah1, Amira Sayed A. Aziz4, Khadija M. Alaidarous1, Ibrahim Abdulrab Ahmed5, Manar Ahmed Hamza6,*

    Intelligent Automation & Soft Computing, Vol.38, No.2, pp. 153-168, 2023, DOI:10.32604/iasc.2023.034718

    Abstract Abstractive text summarization is crucial to produce summaries of natural language with basic concepts from large text documents. Despite the achievement of English language-related abstractive text summarization models, the models that support Arabic language text summarization are fewer in number. Recent abstractive Arabic summarization models encounter different issues that need to be resolved. Syntax inconsistency is a crucial issue resulting in the low-accuracy summary. A new technique has achieved remarkable outcomes by adding topic awareness in the text summarization process that guides the module by imitating human awareness. The current research article presents Abstractive Arabic Text Summarization using Hyperparameter Tuned… More >

  • Open Access

    ARTICLE

    Computational Linguistics Based Arabic Poem Classification and Dictarization Model

    Manar Ahmed Hamza1,*, Hala J. Alshahrani2, Najm Alotaibi3, Mohamed K. Nour4, Mahmoud Othman5, Gouse Pasha Mohammed1, Mohammed Rizwanullah1, Mohamed I. Eldesouki6

    Computer Systems Science and Engineering, Vol.48, No.1, pp. 97-114, 2024, DOI:10.32604/csse.2023.034520

    Abstract Computational linguistics is the scientific and engineering discipline related to comprehending written and spoken language from a computational perspective and building artefacts that effectively process and produce language, either in bulk or in a dialogue setting. This paper develops a Chaotic Bird Swarm Optimization with deep ensemble learning based Arabic poem classification and dictarization (CBSOEDL-APCD) technique. The presented CBSOEDL-APCD technique involves the classification and dictarization of Arabic text into Arabic poetries and prose. Primarily, the CBSOEDL-APCD technique carries out data pre-processing to convert it into a useful format. Besides, the ensemble deep learning (EDL) model comprising deep belief network (DBN),… More >

  • Open Access

    ARTICLE

    A Novel Non-Isolated Cubic DC-DC Converter with High Voltage Gain for Renewable Energy Power Generation System

    Qin Yao, Yida Zeng*, Qingui Jia

    Energy Engineering, Vol.121, No.1, pp. 221-241, 2024, DOI:10.32604/ee.2023.041028

    Abstract In recent years, switched inductor (SL) technology, switched capacitor (SC) technology, and switched inductor-capacitor (SL-SC) technology have been widely applied to optimize and improve DC-DC boost converters, which can effectively enhance voltage gain and reduce device stress. To address the issue of low output voltage in current renewable energy power generation systems, this study proposes a novel non-isolated cubic high-gain DC-DC converter based on the traditional quadratic DC-DC boost converter by incorporating a SC and a SL-SC unit. Firstly, the proposed converter’s details are elaborated, including its topology structure, operating mode, voltage gain, device stress, and power loss. Subsequently, a… More >

  • Open Access

    ARTICLE

    Characterization of Flame Retardancy and Oil-Water Separation Capacity of Superhydrophobic Silylated Melamine Sponges

    Yongchun Liu1,*, Ni Qiao2, Yanli Yang3, Yanchun Li1, Chunxiao He1, Siyang Wang1, Chengcheng Liu1, Ruixia Lei1, Wang Li4, Wenwen Gao4

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.2, pp. 383-400, 2024, DOI:10.32604/fdmp.2023.041928

    Abstract A silylated melamine sponge (SMS) was prepared by two simple steps, namely, immersion and dehydration of a melamine sponge coated with methyltrichlorosilane. The silylated structure of SMS was characterized by FT-IR (Fourier-transform infrared) spectroscopy, SEM (Scanning electron microscopy) and in terms of water contact angles. Its oil-water absorption and separation capacities were measured by FT-IR and UV-visible spectrophotometry. The experimental results have shown that oligomeric silanol covalently bonds by Si−N onto the surface of melamine sponge skeletons. SMS has shown superhydrophobicity with a water contact angle exceeding 150° ± 1°, a better separation efficiency with regard to diesel oil (by 99.31% (wt/wt%)… More >

  • Open Access

    ARTICLE

    Multi-Versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis on Arabic Corpus

    Mesfer Al Duhayyim1,*, Badriyya B. Al-onazi2, Jaber S. Alzahrani3, Hussain Alshahrani4, Mohamed Ahmed Elfaki4, Abdullah Mohamed5, Ishfaq Yaseen6, Gouse Pasha Mohammed6, Mohammed Rizwanullah6, Abu Sarwar Zamani6

    Computer Systems Science and Engineering, Vol.47, No.3, pp. 3049-3065, 2023, DOI:10.32604/csse.2023.033836

    Abstract Sentiment analysis (SA) of the Arabic language becomes important despite scarce annotated corpora and confined sources. Arabic affect Analysis has become an active research zone nowadays. But still, the Arabic language lags behind adequate language sources for enabling the SA tasks. Thus, Arabic still faces challenges in natural language processing (NLP) tasks because of its structure complexities, history, and distinct cultures. It has gained lesser effort than the other languages. This paper developed a Multi-versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis (MVODRL-AA) on Arabic Corpus. The presented MVODRL-AA model majorly concentrates on identifying and classifying effects or emotions… More >

  • Open Access

    ARTICLE

    An Enhanced Automatic Arabic Essay Scoring System Based on Machine Learning Algorithms

    Nourmeen Lotfy1, Abdulaziz Shehab1,2,*, Mohammed Elhoseny1,3, Ahmed Abu-Elfetouh1

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1227-1249, 2023, DOI:10.32604/cmc.2023.039185

    Abstract Despite the extensive effort to improve intelligent educational tools for smart learning environments, automatic Arabic essay scoring remains a big research challenge. The nature of the writing style of the Arabic language makes the problem even more complicated. This study designs, implements, and evaluates an automatic Arabic essay scoring system. The proposed system starts with pre-processing the student answer and model answer dataset using data cleaning and natural language processing tasks. Then, it comprises two main components: the grading engine and the adaptive fusion engine. The grading engine employs string-based and corpus-based similarity algorithms separately. After that, the adaptive fusion… More >

  • Open Access

    ARTICLE

    Appraisal of Improvement in Physiological and Metabolic Processes by Exogenously Applied Natural and Synthetic Ascorbic Acid in Okra (Abelmoschus esculentus L.) Fruit Subjected to Water Deficit Stress

    Muhammad Younis1, Nudrat Aisha Akram1,*, Arafat Abdel Hamed Abdel Latef2,*, Muhammad Ashraf3

    Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2761-2784, 2023, DOI:10.32604/phyton.2023.028801

    Abstract To counteract the effects of drought stress, scientists have adopted several approaches including the use of different chemicals both inorganic and organic, which is contemplated as a highly efficient and cost-effective shot-gun approach. Ascorbic acid (AsA) is a potential organic substance, which widely occurs in plants, and is considered to be an effective antioxidant to counteract reactive oxygen species (ROS). Thus, a pot experiment was performed to assess the relative mitigating impacts of synthetic AsA and naturally occurring AsA in the form of lemon juice (LJ) and orange juice (OJ) on two cultivars of okra (Abelmoschus esculentus L.) namely Sabz… More >

  • Open Access

    ARTICLE

    Modified Dragonfly Optimization with Machine Learning Based Arabic Text Recognition

    Badriyya B. Al-onazi1, Najm Alotaibi2, Jaber S. Alzahrani3, Hussain Alshahrani4, Mohamed Ahmed Elfaki4, Radwa Marzouk5, Mahmoud Othman6, Abdelwahed Motwakel7,*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1537-1554, 2023, DOI:10.32604/cmc.2023.034196

    Abstract Text classification or categorization is the procedure of automatically tagging a textual document with most related labels or classes. When the number of labels is limited to one, the task becomes single-label text categorization. The Arabic texts include unstructured information also like English texts, and that is understandable for machine learning (ML) techniques, the text is changed and demonstrated by numerical value. In recent times, the dominant method for natural language processing (NLP) tasks is recurrent neural network (RNN), in general, long short term memory (LSTM) and convolutional neural network (CNN). Deep learning (DL) models are currently presented for deriving… More >

  • Open Access

    PROCEEDINGS

    Nanoarray-Embedded Hierarchical Hydrophobic Surfaces for Enhancing Durable Dropwise Condensation

    Yue Hu1, Lu-Wen Zhang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.26, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.010595

    Abstract Liquid accretion control plays a key role across a wide range of industrial applications, such as anti-icing, power generation, sewage treatment, water desalination, and energy harvesting. In condensation system, durable dropwise condensation of saturated vapor for heat transfer and energy saving in extensive industrial applications. While numerous superhydrophobic surfaces can promote steam condensation, maintaining discrete microdroplets on surfaces without the formation of a flooded filmwise condensation at high subcooling remains challenging. Here, we report the development of carbon nanotube arrayembedded hierarchical composite surfaces that enable ultra-durable dropwise condensation under a wide range of subcooling temperatures (∆Tsub = 8 K–38 K),… More >

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