Md. Erfanul Hoque

According to our database, Md. Erfanul Hoque authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Alex Paseka

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models.

Md. Erfanul Hoque, Sulalitha Bowala, Alex Paseka, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2021

Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains.

Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient.

Aerambamoorthy Thavaneswaran, You Liang, Alex Paseka, Md. Erfanul Hoque, Ruppa K. Thulasiram

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility.

Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Alex Paseka, Ruppa K. Thulasiram

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning.

Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo, Ruppa K. Thulasiram, Behrouz Banitalebi

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility.

You Liang, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand.

Behrouz Banitalebi, Md. Erfanul Hoque, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Data-Driven Adaptive Regularized Risk Forecasting.

You Liang, Aerambamoorthy Thavaneswaran, Zimo Zhu, Ruppa K. Thulasiram, Md. Erfanul Hoque

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Dynamic Data Science Applications in Optimal Profit Algorithmic Trading.

You Liang, Aerambamoorthy Thavaneswaran, Na Yu, Md. Erfanul Hoque, Ruppa K. Thulasiram

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting.

Behrouz Banitalebi, Srimantoorao Semischetty Appadoo, Aerambamoorthy Thavaneswaran, Md. Erfanul Hoque

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020