• Data Cleansing Framework to Enhance Quality of Multimedia Data Using Convolutional Neural Networks 

  Kioko, Alphonse Muthusi (JKUAT-COPAS, 2025-10-28)

  In the era of data-driven decision-making, the fitness of data quality to meet its intended purpose is of paramount importance. The success of machine learning (ML) models hinges on the quality of the datasets used during ...
• Phytochemical characterization, antimicrobial and antioxidant activities of Terminalia catappa methanol and aqueous extracts 

  Wangui, Clement Mwangi (JKUAT-COPAS, 2025-10-28)

  Abstract Background A study carried out by World Health Organization revealed that around 80% of individuals globally depends on herbal forms of medication with 40% of pharmaceutical products being sourced from medicinal ...
• Evaluation of in vitro antimicrobial and antioxidant properties of Ziziphus robertsoniana Beentje aqueous and methanol extracts 

  Wangui, Clement Mwangi; Madivoli, Edwin Shigwenya (JKUAT-COPAS, 2025-10-28)

  Plants are used in the manufacture of pharmaceuticals, cosmetics, and food supplements. In this study, we extracted secondary metabolites from the leaves of Ziziphus robertsoniana Beentje using methanol and water. The ...
• Evaluation of Antimicrobial, Antioxidant and Biocompatibility of Coconut Oil Based Bar Soap Infused with Selected Herbal Extracts 

  Wangui, Clement Mwangi (JKUAT-COPAS, 2025-10-28)

  Human-associated bacteria live on the skin and are harmless or have a symbiotic relationship with the host. Since the skin surface has limited nutrients for the survival of these bacteria, there is competition which results ...
• Unraveling Molecular and Gut Microbiome Vulnerabilities in African Honey Bees (Apis Mellifera Scutelata Lepeletier) Following Oral Exposure to Paraquat and Glyphosate Herbicides 

  Wesonga, Zamira Mukwambo (COHES - JKUAT, 2025-10-27)

  The widespread use of herbicides like paraquat and glyphosate in African agriculture poses a significant threat to native pollinators, yet current environmental risk assessments primarily rely on data from European honeybee ...

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