267 results on '"Ruppa K. Thulasiram"'
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2. Novel Non-linear Adaptive Fuzzy Adjacency Matrices for Financial Volatility Network Models.
3. Synchronous Set-Based Particle Swarm Optimization: Heuristics for Portfolio Optimization.
4. Novel Data-Driven Dynamic Network Science Application in Algorithmic Trading.
5. Application of a Novel Fuzzy Pattern Mining Algorithm for Sequence Data.
6. Novel Resilient Model Risk Forecasts Based on Neuro Volatility Models.
7. Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs.
8. A Cryptocurrency Multiple Trading Strategy with Kalman Filter Innovation Volatility Interval Forecasts.
9. Nature-Inspired Portfolio Diversification Using Ant Brood Clustering.
10. Second Layer Network Impact on Bitcoin Mining Fees and Network Value.
11. Parallel Co-Evolutionary Algorithm and Implementation on CPU-GPU Multicore.
12. Stock Volatility Forecasting with Transformer Network.
13. Portfolio Diversification with Clustering Techniques.
14. High Frequency Data-Driven Dynamic Portfolio Optimization for Cryptocurrencies.
15. Deep Learning-Based Credit Score Prediction: Hybrid LSTM-GRU Model.
16. Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies.
17. Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models.
18. Comparison of Trading Strategies: Dual Momentum vs Pairs Trading.
19. Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks.
20. LSTM based Algorithmic Trading model for Bitcoin.
21. Data-Driven and Neuro-Volatility Fuzzy Forecasts for Cryptocurrencies.
22. A New Era of Blockchain-Powered Decentralized Finance (DeFi) - A Review.
23. Intelligent Probabilistic Forecasts of VIX and its Volatility using Machine Learning Methods.
24. Comparison of Fuzzy Risk Forecast Intervals for Cryptocurrencies.
25. COVID-19 Early Symptom Prediction Using Blockchain and Machine Learning.
26. Data-Driven Fuzzy Demand Forecasting Models for Resilient Supply Chains.
27. A Novel Data Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal Portfolio Weights and Risk Tolerance Coefficient.
28. Portfolio Optimization Using Novel Intelligent Probabilistic Forecasts of Risk Measures.
29. Novel Data-Driven Resilient Portfolio Risk Measures Using Sign and Volatility Correlations.
30. An Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility.
31. A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning.
32. Data-Driven Neuro ARCH (DDNA) volatility model for Option Pricing on Cloud Resources.
33. Novel Data-Driven Fuzzy Algorithmic Volatility Forecasting Models with Applications to Algorithmic Trading.
34. Data-Driven Adaptive Regularized Risk Forecasting.
35. Dynamic Data Science Applications in Optimal Profit Algorithmic Trading.
36. A Novel Dynamic Data-Driven Algorithmic Trading Strategy Using Joint Forecasts of Volatility and Stock Price.
37. Portfolio Optimization Using a Novel Data-Driven EWMA Covariance Model with Big Data.
38. Ensuring Resource Availability with MRU/FRU Caching: A Dew-Blockcloud Model.
39. Candidate Set Formation Policy for Mining Pools.
40. Fuzzy Option Pricing Using a Novel Data-Driven Feed Forward Neural Network Volatility Model.
41. Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model.
42. A Dynamic Traffic Awareness System for Urban Driving.
43. Effect of PSO Communication Topologies on Task Matching in Grid Computing.
44. An Efficient Miner Strategy for Selecting Cryptocurrency Transactions.
45. HGLPSO: Hybrid Genetic Learning PSO and its Applications to Task Matching on Large-Scale Systems.
46. Ant Brood Clustering on Intel Xeon Multi-core: Challenges and Strategies.
47. Hybrid Deep Learning Model for Stock Price Prediction.
48. A Novel Heuristics for Validating Pairwise Transactions on Cryptocurrencies.
49. Analyzing Financial Smart Contracts for Blockchain.
50. A Modified Genetic Learning PSO for Task Matching in Grid Environment.
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