Search Results - "Baranidharan, B"

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  1. 1

    Facial expression recognition of online learners from real-time videos using a novel deep learning model by Jagadeesh, M., Baranidharan, B.

    Published in Multimedia systems (01-12-2022)
    “…In every learning setting, in classrooms or online, a student's emotions throughout course involvement play a critical role. It employs disturbing, excite, and…”
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    Journal Article
  2. 2

    Numerical study of a new time-fractional Mpox model using Caputo fractional derivatives by Venkatesh, A, Manivel, M, Baranidharan, B, Shyamsunder

    Published in Physica scripta (01-02-2024)
    “…Abstract This study examines the new time-fractional model for Mpox, utilizing Caputo fractional derivatives, specifically focusing on pregnant individuals…”
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    Journal Article
  3. 3

    Dynamic FERNet: Deep learning with optimal feature selection for face expression recognition in video by Jagadeesh, M., Baranidharan, B.

    Published in Concurrency and computation (25-12-2022)
    “…Summary This work concentrates on the recognition of facial emotion from video sequences with deep learning. Once the input video is converted into frames, the…”
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    Journal Article
  4. 4
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    Group decision on rationalizing disease analysis using novel distance measure on Pythagorean fuzziness by Baranidharan, B., Liu, Jie, Mahapatra, G. S., Mahapatra, B. S., Srilalithambigai, R.

    Published in Complex & intelligent systems (01-06-2024)
    “…Despite the fact that several technologies have been developed to assist healthcare workers in reducing errors and improving accuracy in illness diagnosis,…”
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    Journal Article
  6. 6

    IJCM_284A: A Community based Cross-sectional study to assess the foot care practice and its associated factors among Lymphatic Filariasis patients in rural areas of Chengalpattu district, 2023 by Kandaiah, Santhosh P, Maheswari, Uma R, Baranidharan, B, Damodaran, V

    Published in Indian journal of community medicine (01-04-2024)
    “…Background: Lymphatic filariasis (LF) is a neglected tropical diseases, in which India has 40% of the world’s burden. LF patients suffering from disability,…”
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    Journal Article
  7. 7

    OSPS-MicroNet: a distilled knowledge micro-CNN network for detecting rice diseases by Tharani Pavithra, P., Baranidharan, B.

    Published in Frontiers in computer science (Lausanne) (06-03-2024)
    “…More than half of the world's population relies on rice as their primary food source. In India, it is a dominant cereal crop that plays a significant role in…”
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    Journal Article
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    Analyzing dynamics and stability of single delay differential equations for the dengue epidemic model by Venkatesh, A., Prakash Raj, M., Baranidharan, B.

    Published in Results in control and optimization (01-06-2024)
    “…This paper introduces a mathematical model that simulates the transmission of the dengue virus in a population over time. The model takes into account aspects…”
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    Journal Article
  10. 10

    Analyzing steady-state equilibria and bifurcations in a time-delayed SIR epidemic model featuring Crowley-Martin incidence and Holling type II treatment rates by Venkatesh, A., Prakash Raj, M., Baranidharan, B., Rahmani, Mohammad Khalid Imam, Tasneem, Khawaja Tauseef, Khan, Mudassir, Giri, Jayant

    Published in Heliyon (15-11-2024)
    “…This article presents a time-delayed SIR epidemiological model that has been quantitatively examined. The model incorporates a logistic growth function for the…”
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    Journal Article
  11. 11

    DUCF: Distributed load balancing Unequal Clustering in wireless sensor networks using Fuzzy approach by Baranidharan, B., Santhi, B.

    Published in Applied soft computing (01-03-2016)
    “…•Eligible cluster heads are selected in the networks using fuzzy logic which ensures considerable energy saving in the network.•The nodes having highest number…”
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    Journal Article
  12. 12

    Brain Tumour Detection Using Deep Learning Techniques by Paul, Sonia, Soni, Brijesh Kumar, Baranidharan, B.

    “…Brain tumor detection is one of the most crucial problems in medical imaging solving which machine learning and, recently, deep learning techniques have…”
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    Conference Proceeding
  13. 13

    Software Defined Network based Fog Architecture for Workload Balancing in Autonomous Vehicles by Gowri, V., Baranidharan, B.

    “…Cloud technology has been one of the important approaches in Autonomous Vehicles (AV), which have been central to many studies in today's history. While the…”
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    Conference Proceeding
  14. 14

    Analysis of Bio-Inspired Optimization Algorithms in Feature Selection for Facial Expressions Recognition by Jagadeesh, M., Baranidharan, B.

    “…There are several popular methods for extracting facial expression features but finding the most significant features of a particular data sample and weeding…”
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    Conference Proceeding
  15. 15

    Integrity Assurance Model (IAM) for Data Privacy and Preservation in Fog Computing Framework by Sabarinathan, C., Baranidharan, B.

    “…The data volume that is produced worldwide is rapidly growing. For computing and processing those large volumes of data, Internet of Things (IoT), Cloud and…”
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    Conference Proceeding
  16. 16

    Cognitive Radio Networks: Recent Advances in Spectrum Sensing Techniques and Security by Joykutty, Anu Maria, Baranidharan, B.

    “…Wireless networks are very significant in the present world owing to their widespread use and its application in domains like disaster management, smart…”
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    Conference Proceeding
  17. 17

    An Analysis on Application of Deep Learning Techniques for Precision Agriculture by P, Tharani Pavithra, B, Baranidharan

    “…Technological support to agriculture will enhance its productivity. Deep learning is known for its high accuracy level in whichever domain it is implemented…”
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    Conference Proceeding
  18. 18

    Analysis on Performance of Facial Expression Recognition using Conventional and Deep Learning Approaches by Jagadeesh, M., Baranidharan, B.

    “…The ability to identify a person's inner thoughts through expressions before verbalizing is known as Facial Expression Recognition (FER). Nowadays, the phrase…”
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    Conference Proceeding
  19. 19

    Crop Yield Prediction Using Remote Sensing and Meteorological Data by Shah, Avnika, Agarwal, Rhea, Baranidharan, B.

    “…Proper agricultural planning is important in a vast country like India due to regular occurrence of floods, droughts, and extreme weather conditions. The…”
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    Conference Proceeding
  20. 20

    Resource Prudent CNN Models for Disease Identification of Rice Crops by P, Tharani Pavithra, Baranidharan, B

    “…Agriculture is one of India's most promising and vital sector, where we secure almost 17% of GDP. Over 60 % of the population is employed in the field of…”
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    Conference Proceeding