Rajesh Wadhvani

Orcid: 0000-0002-2048-997X

According to our database1, Rajesh Wadhvani authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Multistage traffic sign recognition under harsh environment.
Multim. Tools Appl., October, 2024

Comprehensive analysis of change-point dynamics detection in time series data: A review.
Expert Syst. Appl., 2024

2023
A residual ensemble learning approach for solar irradiance forecasting.
Multim. Tools Appl., September, 2023

Data complexity-based dynamic ensembling of SVMs in classification.
Expert Syst. Appl., April, 2023

A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network.
Knowl. Based Syst., 2023

2022
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., 2022

Visualizing solar irradiance data in ArcGIS and forecasting based on a novel deep neural network mechanism.
Multim. Tools Appl., 2022

Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data.
Expert Syst. Appl., 2022

Selective Review on Adaptive Normalization Techniques.
Proceedings of the Workshop on Intelligent Systems (WINS 2022) Co-located with TOOTILL 100, 2022

2020
Solar Irradiance Forecasting Based on Deep Learning Methodologies and Multi-Site Data.
Symmetry, 2020

2019
An analysis of "A feature reduced intrusion detection system using ANN classifier" by Akashdeep et al. expert systems with applications (2017).
Expert Syst. Appl., 2019

2018
Dynamic selection of normalization techniques using data complexity measures.
Expert Syst. Appl., 2018

2017
Comparative Analysis of Adaptive Filters for Predicting Wind-Power Generation (SLMS, NLMS, SGDLMS, WLMS, RLMS).
Proceedings of the Intelligent Systems Design and Applications, 2017


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