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Merry Saxena
Merry Saxena
Associate Professor in Deptt of computer science and engg,Chitkara University PB Campus
Verified email at chitkara.edu.in
Title
Cited by
Cited by
Year
Comparative survey of machine learning techniques for prediction of Parkinson's disease
M Saxena, S Ahuja
2020 Indo–Taiwan 2nd International Conference on Computing, Analytics and …, 2020
122020
Performance analysis of RDBMS and Hadoop components with their file formats for the development of recommender systems
A Gupta, M Saxena, R Gill
2018 3rd International Conference for Convergence in Technology (I2CT), 1-6, 2018
52018
Gold and silver price prediction using hybrid machine learning models
S Goel, M Saxena, PK Sarangi, L Rani
2022 Seventh International Conference on Parallel, Distributed and Grid …, 2022
42022
SMS Spam Detection Using Deep Learning Techniques: A Comparative Analysis of DNN Vs LSTM Vs Bi-LSTM
C Gandhi, PK Sarangi, M Saxena, AK Sahoo
2023 International Conference on Computational Intelligence and Sustainable …, 2023
32023
Hog Features Based Handwritten Bengali Numerals Recognition Using SVM Classifier: A Comparison with Hopfield Implementation
P Gahelot, PK Sarangi, M Saxena, J Jha, A Vajpayee, AK Sahoo
2022 IEEE International Conference on Current Development in Engineering and …, 2022
22022
Pattern storage & recalling using Hopfield neural network and HOG feature based SVM classifier: An experiment with handwritten Odia numerals
N Sharma, K Kalra, PK Sarangi, L Rani, M Saxena, S Kumar
2023 International Conference on Emerging Smart Computing and Informatics …, 2023
12023
Artificial neural network in prediction of Parkinson’s disease
M Saxena, S Ahuja, R Narayan
Solid State Technology 63 (6), 21475-21483, 2020
12020
Analysis of E-learning trends using educational cloud in cloud computing
N Mittal, M Saxena, PK Sarangi, N Phutela, M Sharma
Artificial Intelligence, Blockchain, Computing and Security Volume 2, 282-287, 2024
2024
Next Day Bitcoin Price Prediction: Performance Comparison of Various Statistical and Machine Learning Algorithms
LN AhmadChitkara, PK Sarangi, M Saxena, AK Sahoo, A Singh
2023 IEEE 4th Annual Flagship India Council International Subsections …, 2023
2023
Statistical Analysis of PPMI Database–An Insight to Trends
M Saxena, S Ahuja, R Narayan
Solid State Technology 63 (6), 21736-21740, 2020
2020
Development of a Predictive model for Parkinson s disease
M Saxena
Chandigarh, 2020
2020
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