Dr.R.Divya

@psgrkcw.ac.in

assistant professor, Department of Information Technology
Dr.R.Divya

Dr.R.Divya


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https://researchid.co/divyarun

RESEARCH INTERESTS

Data Mining
Big data
5

Scopus Publications

298

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • An Efficient Detection of HCC-recurrence in Clinical Data Processing using Boosted Decision Tree Classifier
    P. Radha, R. Divya
    Procedia Computer Science, 2020
    The patient conditions depend on the changes and combination of clinical measures. These clinical measures plays vital role in the detection of HCC recurrence. There are totally, 475 clinical datasets collected, in which 198 hepatocellular carcinoma (HCC) and 277 non hepatocellular carcinoma (non-HCC) were utilized in this investigation study. After the dataset collection, a novelnumerous time series data handling with period joining and statistical measure estimation is planned. Then the feature ranking and selection is performed, after that multiple measurement boosted decision tree (MMBDT) was utilized as a classification framework to identify HCC reappearance. A multiple(many) measurement of naïve Bayesian (MMNB) was also used as an additional classification model for performance evaluation. Several evaluation measures were utilized to estimate the performance of the projected classification models. A result of the recurrence prediction by MMBDT in 30 days is optimal compared to the prediction performance of the MMNB model. The main motivation and contribution of this research is to use the clinical data mining techniques to identify the HCC occurrences.
  • An Optimized HCC Recurrence Prediction Using APO Algorithm Multiple Time Series Clinical Liver Cancer Dataset
    Divya R, Radha P
    Journal of Medical Systems, 2019
  • Multiple time series clinical data with frequency measurement and feature selection
    P. Radha, R. Divya
    2016 IEEE International Conference on Advances in Computer Applications Icaca 2016, 2017
    Multiple time series clinical data are very sensitive to analysis and predict the disease. In multiple time series clinical data contains multiple measurement data are collected from different time interval and different dataset are merged using merging algorithm and statistical measurement are used to determine the distribution of data then those data are given to classifier to predict Hepatocellular Carcinoma (HCC) patients. Additionally one more measurement feature based on frequency measurement of features is added to reduce the error rate of classifier and to increase the prediction rate with more accuracy. The relevant features related to class labels are selected by using a Partial Swarm Optimization (PSO) algorithm to reduce overhead of classifier. In PSO features of clinical dataset are distributed to multiple particles and each particle independently do the feature selection process and finally optimal features are selected. The optimally selected features are fed into Support Vector Machine (SVM) classifier to learn in training stage and predict HCC disease in testing stage. The experimental results show that the performance of proposed work is better than proposed multiple measurement clinical data without considering frequency measurement in terms of accuracy, sensitivity and specificity.
  • A HCC recurrence prediction in multiple time series clinical data with merging statistical measures of advanced frequency spectrum of time series features
    Journal of Engineering and Applied Sciences, 2017
  • An enhanced HCC recurrence prediction with common interest features in multiple measurement time series clinical dataset
    International Journal of Applied Engineering Research, 2017

RECENT SCHOLAR PUBLICATIONS

  • An Efficient Weed Detection using Adaboost and CNN Hybrid Model
    R Divya, SK Heena, Y Shailaja, S Ashok Kumar, V Kumar
    2025 3rd International Conference on Advancement in Computation & Computer … , 2025
    2025
  • Multi-instance learning attention model for amyloid quantification of brain sub regions in longitudinal cognitive decline
    R Divya, RSS Kumari, Alzheimer’s Disease Neuroimaging Initiative
    Brain Research 1842, 149103 , 2024
    2024
  • An optimized cardiac risk levels classifier based on GMM with min-max model from photoplethysmography signals
    R Divya, PT Vanathi, R Harikumar
    Sci Temper 15 (3), 2968-2977 , 2024
    2024
    Citations: 1
  • Improved Grasshopper Optimization with Squeezenet (IGO-SNet) Classifier for Banana Leaf Diseases
    G Rubadevi, R Divya
    International Conference on Innovations in Computational Intelligence and … , 2024
    2024
  • Cardiovascular risk detection using Harris Hawks optimization with ensemble learning model on PPG signals
    R Divya, FD Shadrach, S Padmaja
    Signal, Image and Video Processing 17 (8), 4503-4512 , 2023
    2023
    Citations: 13
  • SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer’s disease
    R Divya, RSS Kumari, Alzheimer's Disease Neuroimaging Initiative
    Biomedical Signal Processing and Control 86, 105254 , 2023
    2023
    Citations: 9
  • Detection of Alzheimer’s disease from temporal lobe grey matter slices using 3D CNN
    R Divya, R Shantha Selva Kumari, ...
    The Imaging Science Journal 70 (8), 578-587 , 2022
    2022
    Citations: 3
  • Genetic algorithm with logistic regression feature selection for Alzheimer’s disease classification
    R Divya, R Shantha Selva Kumari, ...
    Neural Computing and Applications 33 (14), 8435-8444 , 2021
    2021
    Citations: 69
  • Shantha Selva Kumari R. & the Alzheimer’s Disease Neuroimaging Initiative. Genetic algorithm with logistic regression feature selection for Alzheimer’s disease classification
    R Divya
    Neural Comput & Applic 33, 8435-8444 , 2021
    2021
    Citations: 11
  • An efficient detection of HCC-recurrence in clinical data processing using boosted decision tree classifier
    P Radha, R Divya
    Procedia Computer Science 167, 193-204 , 2020
    2020
    Citations: 9
  • An Optimized HCC recurrence prediction using APO algorithm multiple time series clinical liver cancer dataset
    R Divya, P Radha
    Journal of medical systems 43 (7), 1-12 , 2019
    2019
    Citations: 14
  • Cardiovascular Disease Classification using Photoplethysmography Signals-Survey
    R Divya, PT Vanathi
    International Journal of Computer Applications 182 (43), 10-15 , 2019
    2019
    Citations: 1
  • An Ensemble approach for Classification of Glioma using MR Images
    VD Ashwini, R Divya, A Chaitra, D Dheeraj
    Asian Journal of Engineering and Technology Innovation (AJETI), 216 , 2018
    2018
  • Survey on the multiple time series data with data mining techniques
    P Radha, R Divya
    International Journal of Computational Intelligence Research 13 (4), 615-620 , 2017
    2017
    Citations: 3
  • A firefly optimized feature selection in multiple time series clinical data with merging statistical measures and wavelet frequency spectrum for hcc recurrence prediction
    DR Radha P
    International journal of Recent Scientific Research 8 (september 2017 … , 2017
    2017
  • An Enhanced HCC Recurrence Prediction with Common Interest Features in Multiple Measurement Time Series Clinical Dataset
    P Radha, R Divya
    International Journal of Applied Engineering Research 12 (19), 8443-8449 , 2017
    2017
  • Multiple time series clinical data with frequency measurement and feature selection
    P Radha, R Divya
    2016 IEEE International Conference on Advances in Computer Applications … , 2016
    2016
    Citations: 5
  • Study On the Classification Algorithms for Prediction of Diseases
    P Radha, R Divya
    2016
  • Image Content with Double Hashing Techniques
    MPS Vadivu, R Divya
    International Journal 1 (3) , 2012
    2012
    Citations: 1
  • Maximum power point tracking using GA-optimized artificial neural network for solar PV system
    R Ramaprabha, V Gothandaraman, K Kanimozhi, R Divya, BL Mathur
    2011 1st international conference on electrical energy systems, 264-268 , 2011
    2011
    Citations: 152

MOST CITED SCHOLAR PUBLICATIONS

  • Maximum power point tracking using GA-optimized artificial neural network for solar PV system
    R Ramaprabha, V Gothandaraman, K Kanimozhi, R Divya, BL Mathur
    2011 1st international conference on electrical energy systems, 264-268 , 2011
    2011.0
    Citations: 152
  • Genetic algorithm with logistic regression feature selection for Alzheimer’s disease classification
    R Divya, R Shantha Selva Kumari, ...
    Neural Computing and Applications 33 (14), 8435-8444 , 2021
    2021.0
    Citations: 69
  • An Optimized HCC recurrence prediction using APO algorithm multiple time series clinical liver cancer dataset
    R Divya, P Radha
    Journal of medical systems 43 (7), 1-12 , 2019
    2019.0
    Citations: 14
  • Cardiovascular risk detection using Harris Hawks optimization with ensemble learning model on PPG signals
    R Divya, FD Shadrach, S Padmaja
    Signal, Image and Video Processing 17 (8), 4503-4512 , 2023
    2023.0
    Citations: 13
  • Shantha Selva Kumari R. & the Alzheimer’s Disease Neuroimaging Initiative. Genetic algorithm with logistic regression feature selection for Alzheimer’s disease classification
    R Divya
    Neural Comput & Applic 33, 8435-8444 , 2021
    2021.0
    Citations: 11
  • SUVR quantification using attention-based 3D CNN with longitudinal Florbetapir PET images in Alzheimer’s disease
    R Divya, RSS Kumari, Alzheimer's Disease Neuroimaging Initiative
    Biomedical Signal Processing and Control 86, 105254 , 2023
    2023.0
    Citations: 9
  • An efficient detection of HCC-recurrence in clinical data processing using boosted decision tree classifier
    P Radha, R Divya
    Procedia Computer Science 167, 193-204 , 2020
    2020.0
    Citations: 9
  • Shantha Selva Kumari R, The Alzheimer’s Disease Neuroimaging Initiative (2021) Genetic algorithm with logistic regression feature selection for Alzheimer’s disease classification
    R Divya
    Neural Comput Appl 33 (14), 8435-8444 , 0
    Citations: 7
  • Multiple time series clinical data with frequency measurement and feature selection
    P Radha, R Divya
    2016 IEEE International Conference on Advances in Computer Applications … , 2016
    2016.0
    Citations: 5
  • Detection of Alzheimer’s disease from temporal lobe grey matter slices using 3D CNN
    R Divya, R Shantha Selva Kumari, ...
    The Imaging Science Journal 70 (8), 578-587 , 2022
    2022.0
    Citations: 3
  • Survey on the multiple time series data with data mining techniques
    P Radha, R Divya
    International Journal of Computational Intelligence Research 13 (4), 615-620 , 2017
    2017.0
    Citations: 3
  • An optimized cardiac risk levels classifier based on GMM with min-max model from photoplethysmography signals
    R Divya, PT Vanathi, R Harikumar
    Sci Temper 15 (3), 2968-2977 , 2024
    2024.0
    Citations: 1
  • Cardiovascular Disease Classification using Photoplethysmography Signals-Survey
    R Divya, PT Vanathi
    International Journal of Computer Applications 182 (43), 10-15 , 2019
    2019.0
    Citations: 1
  • Image Content with Double Hashing Techniques
    MPS Vadivu, R Divya
    International Journal 1 (3) , 2012
    2012.0
    Citations: 1
  • An Efficient Weed Detection using Adaboost and CNN Hybrid Model
    R Divya, SK Heena, Y Shailaja, S Ashok Kumar, V Kumar
    2025 3rd International Conference on Advancement in Computation & Computer … , 2025
    2025.0
  • Multi-instance learning attention model for amyloid quantification of brain sub regions in longitudinal cognitive decline
    R Divya, RSS Kumari, Alzheimer’s Disease Neuroimaging Initiative
    Brain Research 1842, 149103 , 2024
    2024.0
  • Improved Grasshopper Optimization with Squeezenet (IGO-SNet) Classifier for Banana Leaf Diseases
    G Rubadevi, R Divya
    International Conference on Innovations in Computational Intelligence and … , 2024
    2024.0
  • An Ensemble approach for Classification of Glioma using MR Images
    VD Ashwini, R Divya, A Chaitra, D Dheeraj
    Asian Journal of Engineering and Technology Innovation (AJETI), 216 , 2018
    2018.0
  • A firefly optimized feature selection in multiple time series clinical data with merging statistical measures and wavelet frequency spectrum for hcc recurrence prediction
    DR Radha P
    International journal of Recent Scientific Research 8 (september 2017 … , 2017
    2017.0
  • An Enhanced HCC Recurrence Prediction with Common Interest Features in Multiple Measurement Time Series Clinical Dataset
    P Radha, R Divya
    International Journal of Applied Engineering Research 12 (19), 8443-8449 , 2017
    2017.0