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  • Open Access

    ARTICLE

    An Intelligent Hazardous Waste Detection and Classification Model Using Ensemble Learning Techniques

    Mesfer Al Duhayyim1,*, Saud S. Alotaibi2, Shaha Al-Otaibi3, Fahd N. Al-Wesabi4, Mahmoud Othman5, Ishfaq Yaseen6, Mohammed Rizwanullah6, Abdelwahed Motwakel6

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3315-3332, 2023, DOI:10.32604/cmc.2023.033250

    Abstract Proper waste management models using recent technologies like computer vision, machine learning (ML), and deep learning (DL) are needed to effectively handle the massive quantity of increasing waste. Therefore, waste classification becomes a crucial topic which helps to categorize waste into hazardous or non-hazardous ones and thereby assist in the decision making of the waste management process. This study concentrates on the design of hazardous waste detection and classification using ensemble learning (HWDC-EL) technique to reduce toxicity and improve human health. The goal of the HWDC-EL technique is to detect the multiple classes of wastes, particularly hazardous and non-hazardous wastes.… More >

  • Open Access

    ARTICLE

    In silico assessment of human health risks caused by cyanotoxins from cyanobacteria

    JIA-FONG HONG1, BAGHDAD OUDDANE2, JIANG-SHIOU HWANG3,4,5, HANS-UWE DAHMS1,6,7,*

    BIOCELL, Vol.45, No.1, pp. 65-77, 2021, DOI:10.32604/biocell.2021.014154

    Abstract Harmful algal blooms (HABs) that are formed by cyanobacteria have become a serious issue worldwide in recent years. Cyanobacteria can release a type of secondary metabolites called cyanotoxins into aquatic systems which may indirectly or directly provide health risks to the environment and humans. Cyanotoxins provide some of the most powerful natural poisons including potent neurotoxins, hepatotoxins, cytotoxins, and endotoxins that may result in environmental health risks, and long-term morbidity and mortality to animals and humans. In this research, we used the chemcomputational tool Molinspiration for molecular property predictions, Pred-hERG 4.2 web software for cardiac toxicity prediction, and Pred-Skin 2.0… More >

  • Open Access

    REVIEW

    Plant Derived Antiviral Products for Potential Treatment of COVID-19: A Review

    Rashid Iqbal Khan1,*, Mazhar Abbas1, Khurram Goraya2, Muhammad Zafar-ul-Hye3, Subhan Danish3

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 438-452, 2020, DOI:10.32604/phyton.2020.010972

    Abstract COVID-19 caused by SARS-CoV-2 is declared global pandemic. The virus owing high resemblance with SARS-CoV and MERS-CoV has been placed in family of beta-coronavirus. However, transmission and infectivity rate of COVID-19 is quite higher as compared to other members of family. Effective management strategy with potential drug availability will break the virus transmission chain subsequently reduce the pressure on the healthcare system. Extensive research trials are underway to develop novel efficient therapeutics against SARS-CoV-2. In this review, we have discussed the origin and family of coronavirus, structure, genome and pathogenesis of virus SARS-CoV-2 inside human host cell; comparison among SARS,… More >

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