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ORCIDRajesh Wadhvani
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2020 – today
- 2025
[j15]Muktesh Gupta
, Rajesh Wadhvani, Akhtar Rasool:
Deep learning-based real-time diagnosis of cardiac diseases through behavioral changes in ECG signals. Biomed. Signal Process. Control. 104: 107532 (2025)- [j14]Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani:
Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning. J. Big Data 12(1): 178 (2025) - [j13]Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla:
Data complexity measures for classification of a multi-concept dataset. Multim. Tools Appl. 84(2): 571-602 (2025) - [j12]Manali Chandnani, Sanyam Shukla, Rajesh Wadhvani:
Handling heteroscedasticity in kernelized extreme learning machine based regression and deep learning models for traffic sign detection using box cox and Yeo Johnson transformations. Signal Image Video Process. 19(12): 978 (2025) - 2024
- [j11]Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool:
Comprehensive analysis of change-point dynamics detection in time series data: A review. Expert Syst. Appl. 248: 123342 (2024) - [j10]Manali Chandnani, Sanyam Shukla, Rajesh Wadhvani:
Multistage traffic sign recognition under harsh environment. Multim. Tools Appl. 83(34): 80425-80457 (2024) - [c4]Akshita Gour, Rajesh Wadhvani, Muktesh Gupta:
Comprehensive ECG Signal Analysis for Heart Disease Classification: Integrating Neural Networks with Random Forest. ICCCNT 2024: 1-7 - 2023
- [j9]Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla:
Data complexity-based dynamic ensembling of SVMs in classification. Expert Syst. Appl. 216: 119437 (2023) - [j8]Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool:
A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network. Knowl. Based Syst. 259: 110070 (2023) - [j7]Banalaxmi Brahma, Rajesh Wadhvani:
A residual ensemble learning approach for solar irradiance forecasting. Multim. Tools Appl. 82(21): 33087-33109 (2023) - [c3]Akshita Gour, Muktesh Gupta, Rajesh Wadhvani, Sanyam Shukla:
ECG Based Heart Disease Classification: Advancement and Review of Techniques. ICMLDE 2023: 1634-1648 - 2022
- [j6]Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool:
Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data. Expert Syst. Appl. 209: 118260 (2022) - [j5]Banalaxmi Brahma, Rajesh Wadhvani:
Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism. Multim. Tools Appl. 81(7): 9015-9043 (2022) - [j4]Anil Kumar Kushwah, Rajesh Wadhvani:
Trend triplet based data clustering for eliminating nonlinear trend components of wind time series to improve the performance of statistical forecasting models. Multim. Tools Appl. 81(23): 33927-33953 (2022) - [c2]Vivek Panday, Rajesh Wadhvani, Manasi Gyanchandani:
Selective Review on Adaptive Normalization Techniques. WINS 2022: 51-59 - 2020
- [j3]Banalaxmi Brahma, Rajesh Wadhvani:
Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data. Symmetry 12(11): 1830 (2020)
2010 – 2019
- 2019
- [j2]Trupti Chandak, Sanyam Shukla, Rajesh Wadhvani:
An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017). Expert Syst. Appl. 130: 79-83 (2019) - 2018
- [j1]Sukirty Jain, Sanyam Shukla, Rajesh Wadhvani:
Dynamic selection of normalization techniques using data complexity measures. Expert Syst. Appl. 106: 252-262 (2018) - 2017
- [c1]Ashima Arora, Rajesh Wadhvani:
Comparative Analysis of Adaptive Filters for Predicting Wind-Power Generation (SLMS, NLMS, SGDLMS, WLMS, RLMS). ISDA 2017: 858-867
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