Search Results - "Mehra, Pramod"

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  1. 1

    ERIL: An Algorithm for Emotion Recognition from Indian Languages Using Machine Learning by Mehra, Pramod, Jain, Parag

    Published in Wireless personal communications (01-10-2022)
    “…It is critical for a computer to understand the speaker’s mood during a human–machine conversation. Until now, we’ve only used neutral phrases or utterances to…”
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    Journal Article
  2. 2

    Precision Agriculture: Enhancing Potato Disease Classification using Deep Learning by Negi, Arvind Singh, Rawat, Anchal, Mehra, Pramod

    “…Potato, a highly cultivated and sought-after crop globally, ranks among the top crops alongside rice and wheat. Widely embraced as an occupation in over 125…”
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    Conference Proceeding
  3. 3

    CNN and Transformer based Brain Tumor Detection and Classification System by Bhatt, Om, Kotiyal, Vaibhav, Tyagi, Shreyas, Roka, Sanjay, Mehra, Pramod

    “…A brain tumor, also recognized as an intracranial tumor, develops as an anomalous mass of tissue wherein cells proliferate and multiply without restraint…”
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    Conference Proceeding
  4. 4

    Comparing Classifiers for Recognizing the Emotions by extracting the Spectral Features of Speech Using Machine Learning by Mehra, Pramod, Kant Verma, Shashi

    “…Speech has been a crucial form of communication from the dawn of humanity. Natural verbal communication must include emotions. The voice is a poor indicator of…”
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    Conference Proceeding
  5. 5

    A Study on MANET: Along with Recent Trends, Applications, Types, Protocols, Goals, Challenges by Arya, Deepak, Mehra, Pramod, Jain, Parag, Bhatia, Abhay

    “…The (MANET) ad-hoc mobile network is an automated, network in which android systems link to wireless devices. Ad hoc word means "for this purpose". In MANET…”
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    Conference Proceeding
  6. 6

    Set Partitioning Hierarchical Tree Based Improved Image Compression Technique by Mishra, Pawan Kumar, Kishore, Jaydeep, Patni, Jagdish Chandra, Rathod, Arun Pratap Singh, Mehra, Pramod, Bhardwaj, Vivek

    “…This research work presents compression of digital image which is based on Set Partitioning in Hierarchical Tree (SPIHT) technique. In this Paper,…”
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    Conference Proceeding