| Image retrieval scheme using quantized bins of color image components and adaptive tetrolet transform N Varish, AK Pal, R Hassan, MK Hasan, A Khan, N Parveen, D Banerjee, ... IEEE Access 8, 117639-117665, 2020 | 54 | 2020 |
| Machine Learning Techniques on Multidimensional Curve Fitting Data Based on R- Square and Chi-Square Methods DRR Vidyullatha Pellakuri International Journal of Electrical and Computer Engineering (IJECE) 6 (3), 2016 | 39* | 2016 |
| Highly accurate and efficient two phase-intrusion detection system (TP-IDS) using distributed processing of HADOOP and machine learning techniques AD Jadhav, V Pellakuri Journal of Big Data 8 (1), 131, 2021 | 15 | 2021 |
| Analysis on digital forensics challenges and anti-forensics techniques in cloud computing D Vadlamudi, DKT Rao, P Vidyullatha, B AjasekharReddy Int. J. Eng. Technol 7 (2.7), 1072, 2018 | 15 | 2018 |
| WITHDRAWN: Women’s e-commerce clothing sentiment analysis by probabilistic model LDA using R-SPARK N Parveen, M Santhi, LR Burra, V Pellakuri, H Pellakuri Materials Today: Proceedings, 2021 | 14 | 2021 |
| A study on potential of big visual data analytics in construction Arena MG Bhargava, P Vidyullatha, P Venkateswara Rao, V Sucharita Int. J. Eng. Technol 7 (2.7), 652-656, 2018 | 13 | 2018 |
| Comparative analysis of ANFIS, ARIMA and polynomial curve fitting for weather forecasting P Srikanth, DR Rao, P Vidyullatha Indian Journal of Science and Technology 9 (15), 1-6, 2016 | 13 | 2016 |
| Hadoop Mapreduce framework in big data analytics V Pellakuri, R Rao International Journal of Computer Trends and Technology (IJCTT) 8 (3), 115-119, 2014 | 13 | 2014 |
| Customer data clustering using density based algorithm BS Babu, PL Prasanna, P Vidyullatha International Journal of Engineering and Technology (UAE) 7 (2), 35-38, 2018 | 9 | 2018 |
| Performance analysis of machine learning techniques for intrusion detection system AD Jadhav, V Pellakuri 2019 5th International Conference On Computing, Communication, Control And …, 2019 | 8 | 2019 |
| A comparative analysis of parallel and distributed FSM approaches on large-scale graph data P Kumar, S.A.,Vidyullatha International Journal of Recent Technology and Engineering 7 (6), 103, 2019 | 8 | 2019 |
| Modeling of supervised ADALINE neural network learning technique V Pellakuri, DR Rao, JVR Murthy 2016 2nd International Conference on Contemporary Computing and Informatics …, 2016 | 8 | 2016 |
| Intrusion detection system using machine learning techniques for increasing accuracy and distributed & parallel approach for increasing efficiency AD Jadhav, V Pellakuri 2019 5th International Conference On Computing, Communication, Control And …, 2019 | 7 | 2019 |
| Automated leaf disease detection in corn species through image analysis P Lakshmi Praneetha, S.K.,Anusha, K.,Geetha Viharika, R.,Divya Sree, M ... International Journal of Advanced Trends in Computer Science and Engineering …, 2019 | 7* | 2019 |
| TRAINING AND DEVELOPMENT OFARTIFICIAL NEURAL NETWORK MODELS: SINGLE LAYER FEEDFORWARD AND MULTI LAYER FEEDFORWARD NEURAL NETWORK DRR vidyullatha pellakuri JATIT 84 (2), 150-156, 2016 | 7* | 2016 |
| A CONCEPTUAL FRAMEWORK FOR APPROACHING PREDICTIVE MODELING USING MULTIVARIATE REGRESSION ANALYSIS VS ARTIFICIAL NEURAL NETWORK V PELLAKURI, DR RAO jatit 77 (2), 2015 | 7 | 2015 |
| Performance analysis of classification algorithms using healthcare dataset DRR Satish Thallam, Vidyullatha Pellakuri international journal of computer science and information technologies …, 2015 | 7* | 2015 |
| Performance Analysis and Optimization of Supervised Learning Techniques for Medical Diagnosis Using Open Source Tools V Pellakuri IJCSIT 6 (1), 380-383, 2015 | 7 | 2015 |
| Issues and Challenges in Advertising on the Web D Gurram, BV Babu, V Pellakuri International Journal of Electrical and Computer Engineering 4 (5), 810, 2014 | 7 | 2014 |
| WITHDRAWN: Innovative supervised machine learning techniques for classification of data MA Mahant, V Pellakuri Materials today: Proceedings, 2021 | 5 | 2021 |
