Search Results - "Prasad D, Venkata Vara"

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  1. 1

    Automating water quality analysis using ML and auto ML techniques by Venkata Vara Prasad, D., Senthil Kumar, P., Venkataramana, Lokeswari Y., Prasannamedha, G., Harshana, S., Jahnavi Srividya, S., Harrinei, K., Indraganti, Sravya

    Published in Environmental research (01-11-2021)
    “…Generation of unprocessed effluents, municipal refuse, factory wastes, junking of compostable and non-compostable effluents has hugely contaminated…”
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    Journal Article
  2. 2

    Water quality analysis in a lake using deep learning methodology: prediction and validation by D, Venkata Vara Prasad, Y Venkataramana, Lokeswari, Kumar, P. Senthil, G, Prasannamedha, K., Soumya, A.J., Poornema

    “…Discharge of untreated waste water, municipal sewage, industrial effluents, dumping of degradable and non-degradable wastes has polluted natural water sources…”
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    Journal Article
  3. 3

    Analysis and prediction of water quality using deep learning and auto deep learning techniques by Prasad, D. Venkata Vara, Venkataramana, Lokeswari Y., Kumar, P. Senthil, Prasannamedha, G., Harshana, S., Srividya, S. Jahnavi, Harrinei, K., Indraganti, Sravya

    Published in The Science of the total environment (15-05-2022)
    “…Natural water sources like ponds, lakes and rivers are facing a great threat because of activities like discharge of untreated industrial effluents, sewage…”
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    Journal Article
  4. 4

    Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture by Kishore, Akash, Venkataramana, Lokeswari, Prasad, D. Venkata Vara, Mohan, Akshaya, Jha, Bhavya

    “…Prediction of the stage of cancer plays an important role in planning the course of treatment and has been largely reliant on imaging tools which do not…”
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    Journal Article
  5. 5

    Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques by Venkataramana, Lokeswari, Prasad, D. Venkata Vara, Saraswathi, S., Mithumary, C. M., Karthikeyan, R., Monika, N.

    “…Deep learning provides the healthcare industry with the ability to analyse data at exceptional speeds without compromising on accuracy. These techniques are…”
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    Journal Article
  6. 6

    Generating Creative Classical Music by Learning and Combining Existing Styles by S, Gowri Ganesh N., D, Venkata Vara Prasad

    “…The existing music creation system(s) only prioritise accuracy, that is, producing a sound that closely resembles actual music. Their primary concern is a…”
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    Conference Proceeding
  7. 7

    Identification of common and dissimilar biomarkers for different cancer types from gene expressions of RNA-sequencing data by Venkataramana, Lokeswari, Jacob, Shomona Gracia, Saraswathi, S., Venkata Vara Prasad, D.

    Published in Gene reports (01-06-2020)
    “…PAN-Cancer research aims at characterizing the common genetic alterations across cancer types to identify the set of similar and different biomarkers for many…”
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    Journal Article
  8. 8

    Machine Learning and Ensemble Techniques for Water Quality Analysis of Korattur Lake by Danush, G, Pradeeshwar, A, Tharun Kumar, Ds, Vamsi Krishna, Nk, Prasad, D. Venkata Vara

    “…Water quality analysis is a critical component of environmental monitoring and management, as it helps ensure the safety and sustainability of water resources…”
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    Conference Proceeding
  9. 9

    Enhancing Breast Cancer Survival Prognosis Through Omic and Non-Omic Data Integration by Sathyamoorthi, Kishaanth, VP, Abishek, Venkataramana, Lokeswari Y, Prasad D, Venkata Vara

    Published in Clinical breast cancer (30-08-2024)
    “…•Omic (Copy Number Variation, mRNA, DNA Methylation and miRNA) and non-omic (Clinical Data) data extracted from TCGA and preprocessed for further…”
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    Journal Article
  10. 10

    Improving the performance of Smith–Waterman sequence algorithm on GPU using shared memory for biological protein sequences by Prasad, D. Venkata Vara, Jaganathan, Suresh

    Published in Cluster computing (01-07-2019)
    “…In Bioinformatics, sequence alignment algorithm aims to find out whether biological sequences (e.g., DNA, RNA, or Protein sequences) are related or not. A…”
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    Journal Article
  11. 11

    A quick survey of Artificial Neural Network based face classification algorithms by Prasad, D. Venkata Vara, Suresh, Jaganathan

    Published in Cluster computing (01-07-2019)
    “…Face recognition has received significant attention in the recent past and numerous applications have deployed. Face recognition systems produce pleasing…”
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    Journal Article
  12. 12

    Null-space based facial classifier using linear regression and discriminant analysis method by Prasad, D. Venkata Vara, Jaganathan, Suresh

    Published in Cluster computing (01-07-2019)
    “…In this paper, we proposed a novel classification method for face recognition which adopts the functionalities of linear discriminant and regression. Linear…”
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    Journal Article
  13. 13

    Designing towards an efficient job aware scheduling algorithm for IaaS cloud by Prasad, D. Venkata Vara, Jaganathan, Suresh

    Published in Cluster computing (01-07-2019)
    “…In this paper, a new job aware scheduling algorithm for IaaS cloud is proposed. As we know IaaS cloud provides an increase in computing power, storage capacity…”
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    Journal Article
  14. 14
  15. 15

    Prediction on water quality of a lake in Chennai, India using machine learning algorithms by Prasad, D. Venkata Vara, Venkataramana, Lokeswari Y., Kumar, P. Senthil, Prasannamedha, G., Soumya, K., Poornema, A.J.

    Published in Desalination and water treatment (01-04-2021)
    “…The present research work explores different types of machine learning algorithms to estimate the water quality index and the water quality class. The samples…”
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    Journal Article
  16. 16

    DETECTION OF ORAL SQUAMOUS CELL CARCINOMA USING PRE-TRAINED DEEP LEARNING MODELS by Dhanya, K, Prasad, D Venkata Vara, Lokeswari, Y Venkataramana

    Published in Experimental oncology (09-10-2024)
    “…Oral squamous cell carcinoma (OSCC), the 13th most common type of cancer, claimed 364,339 lives in 2020. Researchers have established a strong correlation…”
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    Journal Article
  17. 17

    Optimal selection of Dynamic Routing Protocol with real time case studies by Kalyan, G. P. S., Prasad, D. V. V.

    “…Selection of a Dynamic Routing Protocol has great impact on the utilization of various network resources. The factors like usage of bandwidth and behaviour…”
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    Conference Proceeding