M. Raja

Control and Systems Engineering · with Chaudhary · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 16 citations into it

Whom M. Raja trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Feng Ding
2. Michele Caputo
3. Sima Siami‐Namini
4. George S. Atsalakis
5. Offer Lieberman
6. Kai Chen

Papers from M. Raja's perspective

Ordered by how strongly the researchers M. Raja trusts endorse each paper. Same corpus, a different order for every researcher.

1. Surveying stock market forecasting techniques - Part II: Soft computing methods
2. Gaussian process dynamic programming
3. A new Definition of Fractional Derivative without Singular Kernel
4. A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm (Knowledge-Based Systems)
5. Stock Prices and Exchange Rate Dynamics
6. Refined Inference on Long Memory in Realized Volatility
7. Forecasting Economics and Financial Time Series: ARIMA vs. LSTM
8. Inferring causation from time series in Earth system sciences (Nature Communications)
9. Short term stock price prediction using deep learning
10. Experimental comparison of integer/fractional-order electrical models of plant

Their papers

• Intelligent computing Levenberg Marquardt approach for entropy optimized single-phase comparative study of second grade nanofluidic system (2021) — 54 citations
• Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting (2020) — 297 citations
• Normalized fractional adaptive methods for nonlinear control autoregressive systems (2019) — 47 citations
• A sliding-window approximation-based fractional adaptive strategy for Hammerstein nonlinear ARMAX systems (2017) — 47 citations
• Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithms (2015) — 79 citations