Rajesh Wadhvani

19 papers C 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data complexity measures for classification of a multi-concept dataset.
Multim. Tools Appl.
Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla
2025 J jnl
Deep learning-based real-time diagnosis of cardiac diseases through behavioral changes in ECG signals.
Biomed. Signal Process. Control.
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
2025 J jnl
Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning.
J. Big Data
Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani
2025 J jnl
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.
Manali Chandnani, Sanyam Shukla, Rajesh Wadhvani
2024 — conf
Comprehensive ECG Signal Analysis for Heart Disease Classification: Integrating Neural Networks with Random Forest.
ICCCNT
Akshita Gour, Rajesh Wadhvani, Muktesh Gupta
2024 J jnl
Comprehensive analysis of change-point dynamics detection in time series data: A review.
Expert Syst. Appl.
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
2024 J jnl
Multistage traffic sign recognition under harsh environment.
Multim. Tools Appl.
Manali Chandnani, Sanyam Shukla, Rajesh Wadhvani
2023 J jnl
A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network.
Knowl. Based Syst.
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
2023 J jnl
A residual ensemble learning approach for solar irradiance forecasting.
Multim. Tools Appl.
Banalaxmi Brahma, Rajesh Wadhvani
2023 J jnl
Data complexity-based dynamic ensembling of SVMs in classification.
Expert Syst. Appl.
Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla
2023 — conf
ECG Based Heart Disease Classification: Advancement and Review of Techniques.
ICMLDE
Akshita Gour, Muktesh Gupta, Rajesh Wadhvani, Sanyam Shukla
2022 J jnl
Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data.
Expert Syst. Appl.
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
2022 — conf
Selective Review on Adaptive Normalization Techniques.
WINS
Vivek Panday, Rajesh Wadhvani, Manasi Gyanchandani
2022 J jnl
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.
Anil Kumar Kushwah, Rajesh Wadhvani
2022 J jnl
Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism.
Multim. Tools Appl.
Banalaxmi Brahma, Rajesh Wadhvani
2020 J jnl
Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data.
Symmetry
Banalaxmi Brahma, Rajesh Wadhvani
2019 J jnl
An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017).
Expert Syst. Appl.
Trupti Chandak, Sanyam Shukla, Rajesh Wadhvani
2018 J jnl
Dynamic selection of normalization techniques using data complexity measures.
Expert Syst. Appl.
Sukirty Jain, Sanyam Shukla, Rajesh Wadhvani
2017 C conf
Comparative Analysis of Adaptive Filters for Predicting Wind-Power Generation (SLMS, NLMS, SGDLMS, WLMS, RLMS).
ISDA
Ashima Arora, Rajesh Wadhvani