Search Results - "Dharani, Andhe"

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  1. 1

    TENSORFLOW BASED PREDICTION MODEL FOR CLASSIFYING HUMAN BLOOD SMEAR MICROSCOPIC IMAGES AS INDICATING PRESENCE OF MALARIA PARASITE by N Patil, Preethi, Dharani, Andhe, S, Anupama Kumar, Patil, Naganagouda

    Published in ICTACT journal on soft computing (01-04-2023)
    “…Malaria is now considered to be present in south Asian and African regions. Many countries are declared and certified as malaria free nations. But India is yet…”
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    Journal Article
  2. 2

    Machine Learning Approaches for Online Algorithm Training Experience by Dharani, Andhe, Mathew, Derick

    “…Online algorithm plays a vital role in many applications like pattern matching, graphing and others. Unlike traditional algorithm, online algorithm processes…”
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    Conference Proceeding
  3. 3

    Automated Dengue Recognition and Analysis through Image Processing and Machine Learning by Patil, Preethi N, J, Usha, Dharani, Andhe

    “…Detecting dengue fever using image processing techniques typically involves the analysis of medical images such as blood smears or tissue samples. Dengue is a…”
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    Conference Proceeding
  4. 4

    Augmented Reality-Based Visualization and Education for Biogas Plant Adoption in Rural Communities by Akash, Dharani, Andhe, Patil, Preethi N., Chakravorty, Chandrani, L, Yathish

    “…Augmented Reality technology has experienced widespread adoption in various fields, including marketing, education, learning, and training. This paper…”
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    Conference Proceeding
  5. 5

    Flanking stencil method for the detection of impact craters by Krishnan, R., Dharani, Andhe

    “…Detection of the topographical pattern is a challenging area in the field of astronomy and atmospheric science. An improvement is required, in the existing…”
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    Conference Proceeding
  6. 6

    Prominence of each phase in Software development life cycle contributes to the overall quality of a product by Geogy, Manju, Dharani, Andhe

    “…Quality of any application is the end result of how each phase of the Software development life cycle was handled. Multiple teams and techniques are used to…”
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    Conference Proceeding
  7. 7
  8. 8

    Simple Secure Protocol for Wireless Sensor Networks by Manjuprasad, B., Dharani, Andhe

    “…Security is one of the most important issues in all the fields, wireless sensor networks is not an exception to this. Security in sensor networks can be…”
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    Conference Proceeding
  9. 9

    Methodologies in Face Recognition for Surveillance by Bhat, Pavithra S G, Dharani, Andhe

    “…Face recognition being the most significant part of the biometrics and video surveillance systems has to deal with many challenges like pose, illumination,…”
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    Conference Proceeding
  10. 10

    The new approach: I-Genetic algorithm for classification of craters by Krishnan, R., Dharani, Andhe

    “…Generally object detection using genetic algorithm in images will consider all pixels of the images for cross over procedure, it is time consuming and…”
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    Conference Proceeding
  11. 11

    A qoi based energy efficient clustering for dense wireless sensor network by Prasad, Manju, Dharani, Andhe

    Published 21-05-2013
    “…In a wireless sensor network Quality of Information (QoI), Energy Efficiency, Redundant data avoidance, congestion control are the important metrics that…”
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    Journal Article
  12. 12

    Mobile as a Sensor in Intelligent Transportation System for Street Route by Dharani, Andhe, Vijaylakshmi, M N, Narasimha Swamy, S.

    “…Rapid increase in the espousal of mobile phones and their ubiquity has significantly reflected upon the Intelligent Transport system (ITS). Some of the major…”
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    Conference Proceeding
  13. 13

    Uniform multihop clustering for low communication overhead in sensor network by Manjuprasad, B., Dharani, Andhe

    “…Clustering is one of the efficient routing mechanisms in wireless sensor networks; unification of the clustering with others efficient mechanism like…”
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    Conference Proceeding
  14. 14

    An efficient and optimal clustering algorithm for real-time forest fire prediction with by Divya, T. L., Manjuprasad, B., Vijayalakshmi, M. N., Dharani, Andhe

    “…Grouping of forest fire images into meaningful categories to reveal useful information is a challenging task. In order to overcome this challenge, data mining…”
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    Conference Proceeding