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4 results for "B. VALARMATHI"

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  1. Journal Article Full text

    AN EMPIRICAL MACHINE LEARNING APPROACH TO EXTRACT AND RANK MULTI-WORD PRODUCT NAMES USING iCIW APPROACH

    SIVASHANKARI R.; B. VALARMATHI

    Journal of Engineering Science and Technology, Vol. 13 No. 1 · 2018 · English · DOAJ Dropped by Scopus 2026

    Entity Extraction or product name extraction is a suitable premise for sentiment analysis. A sentiment discovers opinion of the customers on the product stated in the sentence. Extracting product names using the existing approaches from the customer’s reviews are not exact most of the time. Almost…

  2. Journal Article

    A Robust Deep CNN Stacked Ensemble Classifier for Skin Disease Diagnosis

    B. Valarmathi; Dhanush Chalicheemala; T. Ramkumar et al.

    Advances in Public Health, Vol. 2025 · 2025 · English · DOAJ Scopus

    Skin diseases are more prevalent than other diseases and are caused by bacteria, allergies, and viruses. Advancements in medical technology, including lasers and photonics, enable faster and more precise diagnosis of skin illnesses. However, the expense of such diagnostics is huge, hence the need…

  3. Journal Article

    Hybrid Deep Learning Algorithms for Dog Breed Identification—A Comparative Analysis

    B. Valarmathi; N. Srinivasa Gupta; G. Prakash et al.

    IEEE Access, Vol. 11 · 2023 · English · DOAJ Scopus

    Deep learning and computer vision algorithms will be applied to find the breed of the dog from an image. The goal is to have the user submit an image of a dog, and the model will choose one of the 120 breeds stated in the dataset to determine the dog’s breed. The proposed work uses various deep…

  4. Journal Article

    Human Detection and Action Recognition for Search and Rescue in Disasters Using YOLOv3 Algorithm

    B. Valarmathi; Jain Kshitij; Rajpurohit Dimple et al.

    Journal of Electrical and Computer Engineering, Vol. 2023 · 2023 · English · DOAJ Scopus

    Drone examination has been overall quickly embraced by NDMM (natural disaster mitigation and management) division to survey the state of impacted regions. Manual video analysis by human observers takes time and is subject to mistakes. The human identification examination of pictures caught by…