Sentiment analysis for Indian stock market prediction using Sensex and nifty A Bhardwaj, Y Narayan, M Dutta Procedia computer science 70, 85-91, 2015 | 178 | 2015 |
Comparative analysis of SVM and Naive Bayes classifier for the SEMG signal classification Y Narayan Materials Today: Proceedings 37, 3241-3245, 2021 | 57 | 2021 |
Big data emerging technologies: A CaseStudy with analyzing twitter data using apache hive A Bhardwaj, A Kumar, Y Narayan, P Kumar 2015 2nd International Conference on Recent Advances in Engineering …, 2015 | 52 | 2015 |
SEMG signal classification using KNN classifier with FD and TFD features Y Narayan Materials Today: Proceedings 37, 3219-3225, 2021 | 44 | 2021 |
sEMG signal classification with novel feature extraction using different machine learning approaches Y Narayan, L Mathew, S Chatterji Journal of Intelligent & Fuzzy Systems, 1-11, 2018 | 39 | 2018 |
Hb vsEMG signal classification with time domain and Frequency domain features using LDA and ANN classifier Y Narayan Materials Today: Proceedings 37, 3226-3230, 2021 | 37 | 2021 |
Motor-imagery eeg signals classificationusing svm, mlp and lda classifiers Y Narayan Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (2 …, 2021 | 29 | 2021 |
Discrete wavelet packet based elbow movement classification using fine Gaussian SVM P Virdi, Y Narayan, P Kumari, L Mathew 2016 IEEE 1st international conference on power electronics, intelligent …, 2016 | 28 | 2016 |
Binary movement classification of sEMG signal using linear SVM and Wavelet Packet Transform P Kumari, Y Narayan, L Mathew 2016 IEEE 1st International Conference on Power Electronics, Intelligent …, 2016 | 25 | 2016 |
Analyzing bigdata with hadoop cluster in hdinsight azure cloud A Bhardwaj, VK Singh, Y Narayan 2015 Annual IEEE India Conference (INDICON), 1-5, 2015 | 22 | 2015 |
A novel artificial intelligence maximum power point tracking technique for integrated PV-WT-FC frameworks MJ Khan, D Kumar, Y Narayan, H Malik, FP García Márquez, ... Energies 15 (9), 3352, 2022 | 20 | 2022 |
Pattern recognition of sEMG signals using DWT based feature and SVM Classifier Y Narayan, V Ahlawat, S Kumar International Journal of Advanced Science and Technology 29 (10S), 2243-2256, 2020 | 18 | 2020 |
Development of a software module for feature extraction and classification of EMG signals C Garg, Y Narayan, L Mathew 2015 Communication, Control and Intelligent Systems (CCIS), 250-254, 2015 | 17 | 2015 |
sEMG signal classification using Discrete Wavelet Transform and Decision Tree classifier SC Y Narayan, L Mathew International Journal of Control Theory and Applications 10 (6), 511-517, 2017 | 16 | 2017 |
support vector machine based classification improvement for EMG signal using principal component analysis yogendra narayan vivek ahawat, Ritula Thakur Journal of Engineering and Applied Sciences 13 (8), 6341-6345, 2018 | 15 | 2018 |
Design and investigation of hybrid PON‐FSO system employing modified NZCC code under distinct weather conditions M Kumari, Y Narayan, V Arya Transactions on Emerging Telecommunications Technologies, e4699, 2022 | 13 | 2022 |
Surface EMG signal classification using ensemble algorithm, PCA and DWT for robot control Y Narayan, RM Singh, L Mathew, S Chatterji Advanced Informatics for Computing Research: Second International Conference …, 2019 | 12 | 2019 |
Comparative analysis of sEMG signal classification using different K-NN algorithms Y Narayan, D Kumar, S Kumar Int. J. Adv. Sci. Technol 29 (10), 2257-2266, 2020 | 10 | 2020 |
Elbow movement classification of a robotic arm using wavelet packet and cubic SVM Y Narayan, P Kumari, L Mathew Communication and computing systems, 605-610, 2017 | 9 | 2017 |
DWT-based hand movement identification of EMG signals using SVM V Ahlawat, Y Narayan, D Kumar Proceedings of International Conference on Communication and Artificial …, 2021 | 7 | 2021 |