42 citations · 98 across the 15 of their papers we have counts for
15 papers
Identification of Cellular Automata on Spaces of Bernoulli Probability Measures
Faizal Hafiz, Amelia Kunze, Enrico Formenti +1
Classical Cellular Automata (CCAs) are a powerful computational framework for modeling global spatio-temporal dynamics with local interactions. While CCAs have been applied across…
Cellular Automata on Probability Measures
Enrico Formenti, Faizal Hafiz, Amelia Kunze +1
Classical Cellular Automata (CCAs) are a powerful computational framework widely used to model complex systems driven by local interactions. Their simplicity lies in the use of a f…
Quantification of Non-stationary Power Quality Events: A New Index Based on -norm of Energy
Faizal Hafiz, Chirag Naik, Davide La Torre +1
The present study proposes a new index to quantify the severity of non-stationary power quality (PQ) disturbance events. In particular, the severity of PQ events is estimated from…
Evolution of Neural Architectures for Financial Forecasting: A Note on Data Incompatibility during Crisis Periods
Faizal Hafiz, Jan Broekaert, Akshya Swain
This note focuses on the optimization of neural architectures for stock index movement forecasting following a major market disruption or crisis. Given that such crises may introdu…
Coevolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective
Faizal Hafiz, Jan Broekaert, Davide La Torre +1
In a multi objective setting, a portfolio manager's highly consequential decisions can benefit from assessing alternative forecasting models of stock index movement. The present in…
A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting
Faizal Hafiz, Jan Broekaert, Davide La Torre +1
This study proposes a new framework to evolve efficacious yet parsimonious neural architectures for the movement prediction of stock market indices using technical indicators as in…
Competing control scenarios in probabilistic SIR epidemics on social-contact networks
Jan B. Broekaert, Davide La Torre, Faizal Hafiz
A probabilistic approach to the epidemic evolution on realistic social-contact networks allows for characteristic differences among subjects, including the individual number and st…
An Efficient Framework for Automated Screening of Clinically Significant Macular Edema
Renoh Johnson Chalakkal, Faizal Hafiz, Waleed Abdulla +1
The present study proposes a new approach to automated screening of Clinically Significant Macular Edema (CSME) and addresses two major challenges associated with such screenings,…
Multi-objective Evolutionary Approach to Grey-Box Identification of Buck Converter
Faizal Hafiz, Akshya Swain, Eduardo M. A. M. Mendes +1
The present study proposes a simple grey-box identification approach to model a real DC-DC buck converter operating in continuous conduction mode. The problem associated with the i…
Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation
Faizal Hafiz, Akshya Swain, Eduardo MAM Mendes
The present study proposes a multi-objective framework for structure selection of nonlinear systems which are represented by polynomial NARX models. This framework integrates the k…
Efficient Feature Selection of Power Quality Events using Two Dimensional (2D) Particle Swarms
Faizal Hafiz, Akshya Swain, Chirag Naik +1
A novel two-dimensional (2D) learning framework has been proposed to address the feature selection problem in Power Quality (PQ) events. Unlike the existing feature selection appro…
Orthogonal Floating Search Algorithms: From The Perspective of Nonlinear System Identification
Faizal Hafiz, Akshya Swain, Eduardo Mendes
The present study proposes a new Orthogonal Floating Search framework for structure selection of nonlinear systems by adapting the existing floating search algorithms for feature s…
Structure Selection of Polynomial NARX Models using Two Dimensional (2D) Particle Swarms
Faizal Hafiz, Akshya Swain, Eduardo MAM Mendes +1
The present study applies a novel two-dimensional learning framework (2D-UPSO) based on particle swarms for structure selection of polynomial nonlinear auto-regressive with exogeno…
Two-Dimensional (2D) Particle Swarms for Structure Selection of Nonlinear Systems
Faizal Hafiz, Akshya Swain, Eduardo MAM Mendes
The present study proposes a new structure selection approach for non-linear system identification based on Two-Dimensional particle swarms (2D-UPSO). The 2D learning framework ess…
A Two-Dimensional (2-D) Learning Framework for Particle Swarm based Feature Selection
Faizal Hafiz, Akshya Swain, Nitish Patel +1
This paper proposes a new generalized two dimensional learning approach for particle swarm based feature selection. The core idea of the proposed approach is to include the informa…