Search Results - "Dhanasekaran, S."

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  1. 1

    An attention 3DUNET and visual geometry group-19 based deep neural network for brain tumor segmentation and classification from MRI by Jyothi, Parvathy, Dhanasekaran, S.

    “…There has been an abrupt increase in brain tumor (BT) related medical cases during the past ten years. The tenth most typical type of tumor affecting millions…”
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    Journal Article
  2. 2

    Performance enhancement of efficient clustering and routing protocol for wireless sensor networks using improved elephant herd optimization algorithm by Ramalingam, S., Dhanasekaran, S., Sinnasamy, Sathya Selvaraj, Salau, Ayodeji Olalekan, Alagarsamy, Manjunathan

    Published in Wireless networks (01-04-2024)
    “…Wireless sensor networks (WSNs) currently have numerous applications, especially in tracking and observing non-human activities. Sensor nodes in WSNs are known…”
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    Journal Article
  3. 3

    Channel estimation using spatial partitioning with coalitional game theory (SPCGT) in wireless communication by Dhanasekaran, S., Ramesh, J.

    Published in Wireless networks (01-04-2021)
    “…In 5G wireless communication estimation, of downlink channel with orthogonal frequency division multiplexing (OFDM) integrated with multiple input multiple…”
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  4. 4

    Discrete Fourier Transform with Denoise Model Based Least Square Wiener Channel Estimator for Channel Estimation in MIMO-OFDM by S, Dhanasekaran, Palanisamy, SatheeshKumar, Hajjej, Fahima, Khalaf, Osamah Ibrahim, Abdulsahib, Ghaida Muttashar, S, Ramalingam

    Published in Entropy (Basel, Switzerland) (01-11-2022)
    “…Multiple-input Multiple-Output (MIMO) systems require orthogonal frequency division multiplexing to operate efficiently in multipath communication (OFDM)…”
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    Journal Article
  5. 5

    Comparison of different standards for real-time PCR-based absolute quantification by Dhanasekaran, S., Doherty, T. Mark, Kenneth, John

    Published in Journal of immunological methods (31-03-2010)
    “…Quantitative real-time PCR (qPCR) is a powerful tool used for both research and diagnostic, which has the advantage, compared to relative quantification, of…”
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  6. 6

    Repression of E-cadherin by the polycomb group protein EZH2 in cancer by Cao, Q, Yu, J, Dhanasekaran, S M, Kim, J H, Mani, R-S, Tomlins, S A, Mehra, R, Laxman, B, Cao, X, Kleer, C G, Varambally, S, Chinnaiyan, A M

    Published in Oncogene (11-12-2008)
    “…Enhancer of zeste homolog 2 (EZH2) is a critical component of the polycomb-repressive complex 2 (PRC2), which is involved in gene silencing and histone H3…”
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  7. 7

    Investigation of growth, optical, thermal and dielectric studies of L-tartraic acid and samarium doped L-tartaric acid single crystals for nonlinear optical (NLO) applications by Dhanasekaran, S., Sagunthala, P., Yasotha, P., Vijayalakshmi, V.

    “…In the current work, the slow evaporation method was used to develop L-tartaric acid (LTA) single crystals and Samarium doped LTA single crystals at ambient…”
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  8. 8

    Effect of lanthanum doping on the growth, structural, optical, thermal, dielectric, and NLO properties of L-tartaric acid single crystals by Dhanasekaran, S., Sagunthala, P., Yasotha, P., Vijayalakshmi, V.

    “…The present study focused on synthesizing and growing single crystals of L-tartaric acid (LTA) and Lanthanum (La) doped LTA crystals using the slow evaporation…”
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  9. 9

    Efficient and secure medical big data management system using optimal map-reduce framework and deep learning by Rajeshkumar, K., Dhanasekaran, S., Vasudevan, V.

    Published in Multimedia tools and applications (01-05-2024)
    “…Big Data (BD) and cloud computing (CC) are the two widely used technologies and focus of study in several industries. Amongst all, healthcare sources generate…”
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    Journal Article
  10. 10

    A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images by Priyan, S. Vishnu, Dhanasekaran, S., Karthick, P. Vivek, Silambarasan, D.

    Published in Neural computing & applications (01-06-2024)
    “…Lyme disease, caused by a bacterium transmitted through the bite of an infected tick, is often misdiagnosed due to its similarity to other conditions like drug…”
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    Journal Article
  11. 11

    Self-attention-based generative adversarial network optimized with color harmony algorithm for brain tumor classification by S, Senthil Pandi, A, Senthilselvi, T, Kumaragurubaran, S, Dhanasekaran

    Published in Electromagnetic biology and medicine (02-04-2024)
    “…This paper proposes a novel approach, BTC-SAGAN-CHA-MRI, for the classification of brain tumors using a SAGAN optimized with a Color Harmony Algorithm. Brain…”
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    Journal Article
  12. 12

    A novel three-factor authentication and optimal mapreduce frameworks for secure medical big data transmission over the cloud with shaxecc by Rajeshkumar, K., Dhanasekaran, S., Vasudevan, V.

    Published in Multimedia tools and applications (26-01-2024)
    “…Big Data (BD) is a concept that deals with enormous amounts of data storage, processing, and analysis. With the exponential advancement in the evolution of…”
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    Journal Article
  13. 13

    Opposition Based Joint Grey Wolf-Whale Optimization Algorithm Based Attribute Based Encryption in Secure Wireless Communication by Raja, M., Dhanasekaran, S., Vasudevan, V.

    Published in Wireless personal communications (01-11-2022)
    “…At present times, medical image security becomes a hot research topic in the healthcare sector. This paper presents an efficient lightweight image encryption…”
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    Journal Article
  14. 14

    Preparation of gallotannin loaded chitosan/zinc oxide nanocomposite for photocatalytic degradation of organic dye and antibacterial applications by Bharathi, Devaraj, Dhanasekaran, S., Varshini, R., Bhuvaneswari, S., Periyasami, Govindasami, Pandiaraj, Saravanan, Lee, Jintae, Ranjithkumar, Rajamani

    “…Chitosan functionalization is a growing field of interest to enhance the unique characteristics of metal oxide nanoparticles. In this study, a facile synthesis…”
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  15. 15

    Enhancing pancreatic cancer classification through dynamic weighted ensemble: a game theory approach by S, Dhanasekaran, D, Silambarasan, P, Vivek Karthick, K, Sudhakar

    “…The significant research carried out on medical healthcare networks is giving computing innovations lots of space to produce the most recent innovations…”
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    Journal Article
  16. 16

    Multimodal sentiment analysis leveraging the strength of deep neural networks enhanced by the XGBoost classifier by Chandrasekaran, Ganesh, Dhanasekaran, S, Moorthy, C, Arul Oli, A

    “…Multimodal sentiment analysis, an increasingly vital task in the realms of natural language processing and machine learning, addresses the nuanced…”
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    Journal Article
  17. 17

    CNN based plant disease identification using PYNQ FPGA by Perumal, Vivek Karthick, T, Supriyaa, P R, Santhosh, S, Dhanasekaran

    Published in Systems and soft computing (01-12-2024)
    “…This research presents a novel approach for plant disease identification utilizing Convolutional Neural Networks (CNNs) and the PYNQ FPGA platform. The study…”
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    Journal Article
  18. 18

    Efficacy of loop mediated isothermal amplification (LAMP) assay for the laboratory identification of Mycobacterium tuberculosis isolates in a resource limited setting by Geojith, G., Dhanasekaran, S., Chandran, Salesh P., Kenneth, John

    “…Current methods of TB diagnosis are time consuming and less suited for developing countries. The LAMP (loop mediated isothermal amplification) is a rapid…”
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    Journal Article
  19. 19

    Advancing IoT security with flame: A hybrid approach combining fuzzy logic and artificial lizard search optimization by S, Senthil Pandi, D, Roja Ramani, A, Senthilselvi, S, Dhanasekaran, B, Kalpana, N, Alangudi Balaji

    Published in Computers & security (01-10-2024)
    “…•FLAME: Fuzzy-based lightweight authentication and management of encryption.•Utilizes fuzzy logic to assess security degree in IoT environments.•Artificial…”
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  20. 20

    Depend Ability Analysis on CPS Using Machine Learning Techniques by S, Krishna Narayanan, S, Dhanasekaran, V, Vasudevan

    “…A Cyber-Physical System (CPS) is an entity that effortlessly monitors and controls physical operations by integrating computational and physical elements…”
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