Search Results - "Anushya, A."

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  1. 1

    Comparing catheter related bloodstream infection rate between cuffed tunnelled and non-cuffed tunnelled peripherally inserted central catheter by Sze Yong, Teoh, Vijayanathan, Anushya A/P, Chung, Eric, Ng, Wei Lin, Yaakup, Nur Adura, Sulaiman, Norshazriman

    Published in The journal of vascular access (01-03-2022)
    “…Objective: To compare catheter related blood stream infection (CRBSI) rate between cuffed tunnelled and non-cuffed tunnelled PICC. Methods: We prospectively…”
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    Journal Article
  2. 2

    The Defense Against Jamming Attack in Cognitive Radio Networks: Energy Efficiency Management Perspective by D, Bhuvana Suganthi, Jaichandran, R., Bharathi, P. Shyamala, Meenakshi, B., Anushya, A., Devi, V. Brindha

    Published in Microprocessors and microsystems (01-04-2021)
    “…Cognitive Radio Networks (CRN) learning perspective and inherently reconfigurable capability generate a group of novel safety problems. Here, let's analyze the…”
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    Journal Article
  3. 3

    Rare occurrence of bilateral breast and peritoneal metastases from osteogenic sarcoma by Chan, Ruoh Shyuan, Kumar, Gnana, Vijayananthan, Anushya A P

    Published in Singapore medical journal (01-03-2013)
    “…Breast metastases are uncommon and typically spread from contralateral breast carcinomas. Breast metastases that spread from extramammary malignancies are even…”
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    Journal Article
  4. 4

    Deep Learning Based Early Diagnostic System for Metastatic Breast Cancer Mutation Using MATLAB by Anushya, A. G., Namboori, P. K. Krishnan

    “…In this work, we proposed a deep learning- based diagnostic system leveraging convolutional neural networks (CNNs) to analyse histopathological images for…”
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    Conference Proceeding
  5. 5

    A comparative study of fuzzy classifiers on heart data by Anushya, A., Pethalakshmi, A.

    “…Fuzzy approaches can play an important role in data mining, because they provide comprehensible results. In addition, the approaches studied in data mining…”
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    Conference Proceeding
  6. 6

    An analysis of particle swarm optimization for feature selection on medical data by Hamed, Ebtisam, Anushya, A., Alzoubi, Reem, Vincy, B.S Angela, Balawneh, Da'ad Al

    “…Classification of medical data to determine different type or subtype of medical condition is significantly important to research disease in level. Feature…”
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    Conference Proceeding
  7. 7

    Medical Image Segmentation via Optimized K-Means by Alzu'bi, Reem, Anushya, A., Hamed, Ebtisam, Angela Vincy, B.S., AlSha'ar, Abdelnour

    “…The main purpose of this paper is to identify the suitable algorithm for image segmentation. Medical images have made a great impact on medicine, diagnosis,…”
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    Conference Proceeding