يعرض 1 - 10 نتائج من 58 نتيجة بحث عن '"Rani, K. Usha"', وقت الاستعلام: 1.08s تنقيح النتائج
  1. 1
    مؤتمر
    Texture Features Based Hybrid Multi Support Vector Machine Model for the diagnosis of Alzheimer's disease through Brain MRI Images

    المؤلفون: Mallika, R.M., Rani, K Usha, Hemalatha, K, Giri, M.

    المصدر: 2023 International Conference on Computational Intelligence, Networks and Security (ICCINS) Computational Intelligence, Networks and Security (ICCINS), 2023 International Conference on. :1-6 Dec, 2023

    Relation: 2023 International Conference on Computational Intelligence, Networks and Security (ICCINS)

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  2. 2
    مؤتمر
    Analyzing the Social Media Advertising with ML Model: WEKA

    المؤلفون: Shireesha, K., Ande, Venkata Sai Radhika, Singh, Bhaludra R Nadh, Deepthi, P., HimaBindu, A., Rani, K. Usha

    المصدر: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) New Frontiers in Communication, Automation, Management and Security (ICCAMS), 2023 International Conference on. 1:1-7 Oct, 2023

    Relation: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS)

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  3. 3
    مؤتمر
    An Optimal Neural Network Classifier for Cervical Pap Smear Data

    المؤلفون: Hemalatha, K., Rani, K. Usha

    المصدر: 2017 IEEE 7th International Advance Computing Conference (IACC) IACC Advance Computing Conference (IACC), 2017 IEEE 7th International. :110-114 Jan, 2017

    Relation: 2017 IEEE 7th International Advance Computing Conference (IACC)

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  4. 4
    مؤتمر
    Performance of synthetic minority oversampling technique on imbalanced breast cancer data

    المؤلفون: Rani, K. Usha, Ramadevi, G. Naga, Lavanya, D.

    المصدر: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on. :1623-1627 Mar, 2016

    Relation: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)

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  5. 5
    تقرير
    Analysis of Heart Diseases Dataset using Neural Network Approach

    المؤلفون: Rani, K. Usha

    مصطلحات موضوعية: Computer Science - Learning, Computer Science - Databases

    URL الوصول: http://arxiv.org/abs/1110.2626

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  6. 6
    دورية أكاديمية
    PRODUCTION OF BIOENERGY MOLECULES FROM WASTE SPENT COFFEE GROUNDS - A GREEN CHEMISTRY APPROACH.

    المؤلفون: TITUS, S., RENUKA, V., THANDLAM, ANIL KUMAR, MUTHIAH, C. T., NAGAVENI, N. G., JAYANTHI, A., RANI, K. USHA, SUDHAKAR, M.

    المصدر: Oxidation Communications; 2024, Vol. 47 Issue 1, p28-34, 7p

    مصطلحات موضوعية: COFFEE grounds, COFFEE waste, SUSTAINABLE chemistry, BITTERNESS (Taste), COFFEE brewing, PLANT polyphenols

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  7. 7
    دورية أكاديمية
    HISTOPATHOLOGICAL EFFECT OF CHLORPYRIFOS PESTICIDE ON LIVER AND KIDNEY OF FRESH WATER FISH CATLA CATLA.

    المؤلفون: Rani, K. Usha

    المصدر: Journal of Advanced Scientific Research; Sep2023, Vol. 14 Issue 8, p66-70, 5p

    مصطلحات موضوعية: HISTOPATHOLOGY, CHLORPYRIFOS, CATLA catla

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  8. 8
    دورية أكاديمية
    Regional Body Composition of Indian Women from a Low-Income Group and Its Association with Anthropometric Indices and Reproductive Events

    المؤلفون: Kulkarni, Bharati, Shatrugna, Veena, Nagalla, Balakrishna, Rani, K. Usha

    المصدر: Annals of Nutrition & Metabolism, 2010 Jan 01. 56(3), 182-189.

    URL الوصول: https://www.jstor.org/stable/48507083

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  9. 9
    دورية أكاديمية
    Analytical Profile Of Drowning Deaths In And Around Vijayawada.

    المؤلفون: Palagani, Srinivasu Rao, Ravimuni, K., Rani, K. Usha

    المصدر: Journal of Pharmaceutical Negative Results; 2022 Special Issue 7, Vol. 13, p6428-6434, 7p

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  10. 10
    دورية أكاديمية
    AN AUTOMATIC DETECTION OF BREAST CANCER USING EFFICIENT FEATURE EXTRACTION AND OPTIMIZED CLASSIFIER MODEL.

    المؤلفون: Kumari, S. Vani, Rani, K. Usha

    المصدر: ICTACT Journal on Soft Computing; Apr2022, Vol. 12 Issue 3, p2605-2613, 9p

    مصطلحات موضوعية: FUZZY neural networks, BREAST cancer, EARLY detection of cancer, IMAGE processing, IMAGE segmentation

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