Dr. Dharmendra Singh Rajput
Dr. Dharmendra Singh Rajput
Professor, School of Information Technology and Engineering Vellore Institute of Technology, Vellore
Verified email at - Homepage
Cited by
Cited by
Analysis of dimensionality reduction techniques on big data
GT Reddy, MPK Reddy, K Lakshmanna, R Kaluri, DS Rajput, ...
Ieee Access 8, 54776-54788, 2020
Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
GT Reddy, MPK Reddy, K Lakshmanna, DS Rajput, R Kaluri, ...
Evolutionary Intelligence 13, 185-196, 2020
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
TR Gadekallu, DS Rajput, MPK Reddy, K Lakshmanna, S Bhattacharya, ...
Journal of Real-Time Image Processing 18, 1383-1396, 2021
A review on classification of imbalanced data for wireless sensor networks
H Patel, D Singh Rajput, G Thippa Reddy, C Iwendi, A Kashif Bashir, O Jo
International Journal of Distributed Sensor Networks 16 (4), 1550147720916404, 2020
An IoT framework for healthcare monitoring systems
DS Rajput, R Gour
International Journal of Computer Science and Information Security 14 (5), 2016
Impact of Gradient ascent and Boosting algorithm in classification
V Basha, S.M., Rajput, D.S., Vandhan
International Journal of Intelligent Engineering and Systems 11 (1), 41-49, 2018
Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India
DS Rajput, SM Basha, Q Xin, TR Gadekallu, R Kaluri, K Lakshmanna, ...
Journal of Ambient Intelligence and Humanized Computing, 1-12, 2022
A review on deep learning techniques for IoT data
K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil, DS Rajput, AA Khan, ...
Electronics 11 (10), 1604, 2022
Enhancement of detection of diabetic retinopathy using Harris hawks optimization with deep learning model
N Gundluru, DS Rajput, K Lakshmanna, R Kaluri, M Shorfuzzaman, ...
Computational Intelligence and Neuroscience 2022, 2022
Survey on evaluating the performance of machine learning algorithms: past contributions and future roadmap
SM Basha, DS Rajput
Deep Learning and Parallel Computing Environment for Bioengineering Systems …, 2019
Roughsets-based approach for predicting battery life in IoT
R Kaluri, DS Rajput, Q Xin, K Lakshmanna, S Bhattacharya, TR Gadekallu, ...
arXiv preprint arXiv:2102.06026, 2021
A supervised aspect level sentiment model to predict overall sentiment on tweeter documents
SM Basha, DS Rajput
International Journal of Metadata, Semantics and Ontologies 13 (1), 33-41, 2018
A novel approach to perform analysis and prediction on breast cancer dataset using R
RD Basha, S.M, Rajput, D.S., Iyengar, N.C.S.N., Caytiles
International Journal of Grid and Distributed Computing 11 (2), 41-54, 2018
Weighted fuzzy rule based sentiment prediction analysis on tweets
SM Basha, Y Zhenning, DS Rajput, N Iyengar, DR Caytiles
International Journal of Grid and Distributed Computing 10 (6), 41-54, 2017
A review on the significance of machine learning for data analysis in big data
VV Kolisetty, DS Rajput
Jordanian Journal of Computers and Information Technology (JJCIT) 6 (01 …, 2020
A novel approach for home surveillance system using IoT adaptive security
GT Reddy, R Kaluri, PK Reddy, K Lakshmanna, S Koppu, DS Rajput
Proceedings of International Conference on Sustainable Computing in Science …, 2019
Addressing binary classification over class imbalanced clinical datasets using computationally intelligent techniques
V Kumar, GS Lalotra, P Sasikala, DS Rajput, R Kaluri, K Lakshmanna, ...
Healthcare 10 (7), 1293, 2022
A roadmap towards implementing parallel aspect level sentiment analysis
SM Basha, DS Rajput
Multimedia Tools and Applications 78, 29463-29492, 2019
Evaluating the impact of feature selection on overall performance of sentiment analysis
SM Basha, DS Rajput
Proceedings of the 2017 international conference on information technology …, 2017
Comparative Study on Performance Analysis of Time Series Predictive Models
RDCNCSNI Syed Muzamil Basha, Yang Zhenning, Dharmendra Singh Rajput
International Journal of Grid and Distributed Computing 10 (8), 37-48, 2017
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