Sulalitha Bowala

According to our database, Sulalitha Bowala authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models.

Avanthi Saumyamala, Sulalitha Bowala, You Liang, Shanika Basnayake, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data.

Thimani Ranathungage, Sulalitha Bowala, Md. Erfanul Hoque, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models.

Md. Erfanul Hoque, Sulalitha Bowala, Avanthi Saumyamala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs.

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

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Portfolio Diversification with Clustering Techniques.

Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies.

Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Thimani Ranathungage, Joy Dip Das

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

A Novel Fading-Memory Filter Multiple Trading Strategy with Data-Driven Innovation Volatility.

You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Sulalitha Bowala, Juan Liyau

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

Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks.

Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, Aerambamoorthy Thavaneswaran

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

2022

Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies.

Japjeet Singh, Sulalitha Bowala, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Deep Learning Predictions for Cryptocurrencies.

Aerambamoorthy Thavaneswaran, You Liang, Sulalitha Bowala, Alex Paseka, Melody Ghahramani

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

A Novel Optimal Profit Resilient Filter Pairs Trading Strategy for Cryptocurrencies.

You Liang, Aerambamoorthy Thavaneswaran, Alex Paseka, Wei Qiao, Melody Ghahramani, Sulalitha Bowala

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies.

Sulalitha Bowala, Japjeet Singh, Aerambamoorthy Thavaneswaran, Ruppa K. Thulasiram, Saumen Mandal

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

Superiority of the Neural Network Dynamic Regression Models for Ontario Electricity Demand Forecasting.

Sulalitha Bowala, Mohammadreza Makhan, You Liang, Aerambamoorthy Thavaneswaran, Srimantoorao Semischetty Appadoo

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022