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14 results for “G. K. Malathi”
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Research ArticleOpen accessEvery word in the titlePROTECTIVE ROLE OF VITAMIN C AND GREEN TEA EXTRACT ON MALATHION-INDUCED HEPATOTOXICITY AND NEPHROTOXICITY IN RATSRabab R. Elzoghby, Ahlam F. Hamoda, A. Abdel-Fatah, Mona FaroukThe present study was designed to determine the modulating effect of green tea and vitamin C against adverse effects of malathion. Animals were divided into four groups 5 rats /group). Group one was used as a control. Group two given malathion (50 mg/kg/day; 1/50 of the LD50 for four weeks). Group three and Group four were given malathion (50 mg/kg/day; … …American Journal of Pharmacology and Toxicology, Vol. 9, Issue 3 · 22 Jul 2014 · 8,174 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIsolation and Characterization of Organophosphate Pesticides Degrading Bacteria from Contaminated Agricultural SoilSoni Yadav, Sitansu Kumar Verma, Hotam Singh ChaudharyThe soil sample was collected from Agriculture University Gwalior, Madhya Pradesh, India which is having a history of repeated pesticide application. Bacterium capable of degrading Malathion and Dichlorvos were isolated and identify as Staphylococcus sp. Micrococcus sp. Entrobacte sp. Bordetella sp. Pseudomonas sp. and Klebsella sp. The growth of all six pesticide degrading isolates was assessed in Mineral Salt Medium … …OnLine Journal of Biological Sciences, Vol. 15, Issue 3 · 30 Jun 2015 · 7,592 accessesView PDFCite
Research ArticleOpen accessIn the author namesEpsilon-Insensitive Primal Loss With Support Vector Machine for Robust Cotton Leaf Disease ClassificationPavana Kumar Eramachetty Dhanajayalu, Malathi Sivasamy, Chitveli Siva Balaji YadavCotton diseases significantly reduce both yield and quality of crops, making early and accurate identification of the disease crucial for effective prevention and control. However, achieving a balance between lightweight models and precise classification of cotton diseases remains challenging. This difficulty arises primarily from the dispersed nature of disease symptoms and interference from noisy backgrounds, which complicate the detection process. … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Aug 2026 · 764 accessesView PDFCite
Research ArticleOpen accessIn the author namesSecuring Mobile Devices from Malware: A Faceoff Between Federated Learning and Deep Learning Models for Android Malware ClassificationNarayan Subramanian, Logesh Ravi, Mithin Jain Shaan et al.Amidst the escalating threats of android malware, urgency mounts to detect issues while safeguarding user privacy. Traditional machine learning and deep learning methods, dealt with scalability challenges and privacy compromises, finding a potential remedy in federated learning. This study introduces a groundbreaking federated learning-based methodology and compares federated learning with traditional deep learning techniques for Android malware classification, employing renowned … …Journal of Computer Science, Vol. 20, Issue 3 · 23 Jan 2024 · 6,292 accessesView PDFCite
Research ArticleOpen accessIn the author namesDetection of Aberrant Data Points for an effective Effort Estimation using an Enhanced Algorithm with Adaptive FeaturesS. Malathi, S. SridharProblem statement: The spiraling growth of IT industry has witnessed an unprecedented change in the software development paradigm, from algorithmic models to machine learning techniques. At present, there are no standard methods to predict the accuracy of software cost estimation, which is an important goal of the software community. Approach: This study proposes a simple and systematic algorithmic procedure for … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,095 accessesView PDFCite