Search Results - "Priya, R. Krishna"

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  1. 1

    Improved particle swarm optimized deep convolutional neural network with super‐pixel clustering for multiple sclerosis lesion segmentation in brain MRI imaging by Krishna Priya, R., Chacko, Susamma

    “…A central nervous system (CNS) disease affecting the insulating myelin sheaths around the brain axons is called multiple sclerosis (MS). In today's world, MS…”
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    Journal Article
  2. 2

    Demonstrating and Investigating the Mechanical Strength of Solar Cells by Raj, V. Ravi, Priya, R. Krishna, Bindu, K. V., Prabhu, N., Madhavarao, S., Ramkumar, G., Seikh, A. H., Siddique, M. H., Anbese, Endalkachew Mergia

    Published in International journal of photoenergy (19-09-2022)
    “…This study reports on the silicon photovoltaic cells with such an alumina metallization. The photovoltaic cell’s silicon component was subjected to an…”
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    Journal Article
  3. 3

    Experimental and numerical analysis of the thermal performance of pebble solar thermal collector by Naik, N. Channa Keshava, Priya, R. Krishna, Ağbulut, Ümit, Gürel, Ali Etem, Shaik, Saboor, Alzaed, Ali Nasser, Alwetaishi, Mamdooh, Alahmadi, Ahmad Aziz

    Published in Heliyon (30-01-2024)
    “…In this work, pebbles of higher specific heat than the conventional absorber materials like aluminium or copper are proposed as a absorber in the solar flat…”
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    Journal Article
  4. 4

    Identification of two ISG15 homologues involved in host immune response against RGNNV in Asian seabass (Lates calcarifer) by Krishna Priya, R.S., Premraj, Avinash, Sivakumar, K.C., Sajeevan, T.P.

    Published in Fish and shellfish immunology reports (01-12-2022)
    “…Interferon Stimulated Gene (ISG)15 is a ubiquitin-like protein that is induced upon viral infections. Our study reports the identification of two homologues of…”
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    Journal Article
  5. 5

    Fuzzy entropy-based MR brain image segmentation using modified particle swarm optimization by Priya, R. Krishna, Thangaraj, C., Kesavadas, C., Kannan, S.

    “…ABSTRACT This article presents an image segmentation technique based on fuzzy entropy, which is applied to magnetic resonance (MR) brain images in order to…”
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    Journal Article
  6. 6

    Deep convolutional neural network for partial discharge monitoring system by Srivastava, Rajat, Avasthi, Vinay, R․, Krishna Priya

    Published in Advances in engineering software (1992) (01-06-2023)
    “…•Proposed a novel data-driven approach to recognize the condition PD pulses of power cables is proposed with the aid of the optimized CNNs.•The feature…”
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    Journal Article
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    Investigation on Properties of Raw and Alkali Treated Novel Cellulosic Root Fibres of Zea Mays for Polymeric Composites by Kavitha, S Anne, Priya, R Krishna, Arunachalam, Krishna Prakash, Avudaiappan, Siva, Maureira-Carsalade, Nelson, Roco-Videla, Ángel

    Published in Polymers (06-04-2023)
    “…Today, new materials based on natural fibres have been emerging day by day to completely eradicate plastics to favour our environmental nature. In this view,…”
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    Journal Article
  9. 9

    Biodegradable Green Composites: Effects of Potassium Permanganate (KMnO 4 ) Treatment on Thermal, Mechanical, and Morphological Behavior of Butea Parviflora (BP) Fibers by Abisha, M, Priya, R Krishna, Arunachalam, Krishna Prakash, Avudaiappan, Siva, Saavedra Flores, Erick I, Parra, Pablo Fernando

    Published in Polymers (05-05-2023)
    “…This study emphasizes the importance of utilizing biodegradable material Butea parviflora (BP) fiber for sustainable solutions. BP fiber offers numerous…”
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    Journal Article
  10. 10

    Design and analysis of stochastic 5G new radio LDPC decoder using adaptive sparse quantization kernel least mean square algorithm for optical satellite communications by Krishna Priya, R., Sakhare, Nitin N., Paithane, Ajay, Shekhar, R., Sabarimuthu, M.

    Published in Internet technology letters (19-05-2024)
    “…A Stochastic Low‐Density Parity‐Check (LDPC) decoder is a type of 5G New Radio standard LDPC decoder that uses stochastic techniques to perform decoding…”
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    Journal Article
  11. 11

    Enhancing structural, thermal, and mechanical properties of Acacia pennata natural fibers through benzoyl chloride treatment for construction applications by Sheeba, K.R. Jaya, Priya, R. Krishna, Arunachalam, Krishna Prakash, Avudaiappan, Siva, Flores, Erick Saavedra, Kozlov, Pavel

    Published in Case Studies in Construction Materials (01-12-2023)
    “…In recent years, there has been growing interest in exploring natural fiber reinforced composites as potential alternatives to conventional materials in…”
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    Journal Article
  12. 12

    The Effect of Polymers on Drug Release Kinetics in Nanoemulsion In Situ Gel Formulation by Vijaya Rani, K Reeta, Rajan, Sruthi, Bhupathyraaj, Mullaicharam, Priya, R Krishna, Halligudi, Nirmala, Al-Ghazali, Mohammad Abobakr, Sridhar, Sathvik B, Shareef, Javedh, Thomas, Sabin, Desai, Saleem M, Pol, Pandurang D

    Published in Polymers (21-01-2022)
    “…Glaucoma is an ocular condition characterized by elevated intraocular pressure (IOP). Conventional treatments of glaucoma face poor corneal permeability and…”
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    Journal Article
  13. 13

    Performance Analysis of Machine Learning Algorithm for the Credit Risk Analysis in the Banking Sector by Hegde, Sandeep Kumar, Hegde, Rajalaxmi, R, Krishna Priya, S, Sree Southry, Marthanda, A.V.G.A., Logu, K.

    “…The banking sector has advanced in recent years. Thus, there is an increase in the demand for bank loans. The bank must distribute and sell each of the limited…”
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    Conference Proceeding
  14. 14

    Forecasting Sugarcane Yield of Tamilnadu Using ARIMA Models by Suresh, K. K., Krishna Priya, S. R.

    “…This paper attempts forecasting the sugarcane area, production and productivity of Tamilnadu through fitting of univariate Auto Regressive Integrated Moving…”
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    Journal Article
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    Machine Learning Techniques for Sugarcane Yield Prediction Using Weather Variables by Ramadhan, Ali J., Priya, S. R. Krishna, Pavithra, V., Mishra, Pradeep, Dash, Abhiram, Abotaleb, Mostafa, Alkattan, Hussein, Albadran, Zainalabideen

    Published in BIO web of conferences (01-01-2024)
    “…Weather has a profound influence on crop growth, development and yield. The present study deals with the use of weather parameters for sugarcane yield…”
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    Journal Article
  17. 17

    Use of Random Forest Regression Model for Forecasting Food and Commercial Crops of India by Ramadhan, Ali J., Priya, S. R. Krishna, Naranammal, N., Suman, Lal, Priyanka, Mishra, Pradeep, Abotaleb, Mostafa, Alkattan, Hussein

    Published in BIO web of conferences (01-01-2024)
    “…Agriculture is the backbone of Indian Economy. Proper forecast of food crops and cash crops are necessary for the government in policy making decisions. The…”
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    Journal Article
  18. 18

    Cardiac Health Assessment through Advanced Computational Models for ECG Image Analysis by Krishna Priya, R, Alias, Liya, Al Salehiya, Fatema Saleh Said

    “…The extensive research initiative focuses on the application of MobileNet techniques for identifying Heart diseases through the examination of…”
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    Conference Proceeding
  19. 19

    Yield Forecast of Sugarcane Using Two Different Techniques in Discriminant Function Analysis by Ramadhan, Ali J., Krishna Priya, S. R., Keerti Balambiga, R., Othman, Ali J., Yadav, Shikha, Mishra, Pradeep, Abotaleb, Mostafa, Alkattan, Hussein, Albadran, Zainalabideen

    Published in BIO web of conferences (01-01-2024)
    “…The present study aims to develop yield forecast models for the Sugarcane crop of the Coimbatore district in Tamilnadu using two different techniques namely…”
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    Journal Article
  20. 20

    Comparison Study Using Arima and Ann Models for Forecasting Sugarcane Yield by Ramadhan, Ali J., Krishna Priya, S. R., Naranammal, N., Pavishya, S., Naveena, K., Ray, Soumik, Mishra, P., Abotaleb, Mostafa, Alkattan, Hussein, Albadran, Zainalabideen

    Published in BIO web of conferences (01-01-2024)
    “…Sugarcane is the largest crop in the world in terms of production. We use sugarcane and its byproducts more and more frequently in our daily lives, which…”
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    Journal Article