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Dr Vidyullatha pellakuri
Dr Vidyullatha pellakuri
Verified email at kluniversity.in
Title
Cited by
Cited by
Year
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
522020
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
WITHDRAWN: Women’s e-commerce clothing sentiment analysis by probabilistic model LDA using R-SPARK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
142021
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
142018
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
132021
Comparative analysis of ANFIS, ARIMA and polynomial curve fitting for weather forecasting
P Srikanth, DR Rao, P Vidyullatha
Indian Journal of Science and Technology, 2016
132016
Analysis on digital forensics challenges and anti-forensics techniques in cloud computing
D Vadlamudi, DT Rao, P Vidyullatha, B AjasekharReddy
Int. J. Eng. Technol 7 (2.7), 1072, 2018
122018
Hadoop Mapreduce framework in big data analytics
V Pellakuri, R Rao
International Journal of Computer Trends and Technology (IJCTT) 8 (3), 115-119, 2014
122014
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
102018
Performance analysis of machine learning techniques for intrusion detection system
AD Jadhav, V Pellakuri
2019 5th International Conference On Computing, Communication, Control And …, 2019
82019
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
82019
Modeling of supervised ADALINE neural network learning technique
V Pellakuri, DR Rao, JVR Murthy
2016 2nd International Conference on Contemporary Computing and Informatics …, 2016
82016
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
72019
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.
V Pellakuri, DR Rao
Journal of Theoretical & Applied Information Technology 84 (2), 2016
72016
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
72015
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
72015
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
72014
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