Search Results for author: Akshya Swain

Found 7 papers, 0 papers with code

A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting

no code implementations15 Nov 2021 Faizal Hafiz, Jan Broekaert, Davide La Torre, Akshya Swain

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 inputs.

Feature Selection Neural Architecture Search

N-shot Palm Vein Verification Using Siamese Networks

no code implementations27 Sep 2021 Felix Marattukalam, Waleed H. Abdulla, Akshya Swain

The use of deep learning methods to extract vascular biometric patterns from the palm surface has been of interest among researchers in recent years.

An Efficient Framework for Automated Screening of Clinically Significant Macular Edema

no code implementations20 Jan 2020 Renoh Johnson Chalakkal, Faizal Hafiz, Waleed Abdulla, Akshya Swain

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, i. e., exudate segmentation and imbalanced datasets.

Feature Selection

Multi-objective Evolutionary Approach to Grey-Box Identification of Buck Converter

no code implementations10 Sep 2019 Faizal Hafiz, Akshya Swain, Eduardo M. A. M. Mendes, Luis Aguirre

In essence, the proposed approach casts grey-box identification problem into a multi-objective framework to balance bias-variance dilemma of model building while explicitly integrating a priori knowledge into the structure selection process.

Multi-Objective Evolutionary Framework for Non-linear System Identification: A Comprehensive Investigation

no code implementations17 Aug 2019 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.

Decision Making

Efficient Feature Selection of Power Quality Events using Two Dimensional (2D) Particle Swarms

no code implementations15 Apr 2019 Faizal Hafiz, Akshya Swain, Chirag Naik, Nitish Patel

A novel two-dimensional (2D) learning framework has been proposed to address the feature selection problem in Power Quality (PQ) events.

Feature Selection

A Two-Dimensional (2-D) Learning Framework for Particle Swarm based Feature Selection

no code implementations3 Aug 2018 Faizal Hafiz, Akshya Swain, Nitish Patel, Chirag Naik

This paper proposes a new generalized two dimensional learning approach for particle swarm based feature selection.

Feature Selection

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