activity
20122022
most citedMetaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research

604 citations · 949 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SP2022★ 14 cited

A novel ECG signal denoising filter selection algorithm based on conventional neural networks

Chandresh Pravin, Varun Ojha

We propose a novel deep learning based denoising filter selection algorithm for noisy Electrocardiograph (ECG) signal preprocessing. ECG signals measured under clinical conditions,…

physics.app-ph2021★ 12 cited

Design and characterization of effective solar cells

Varun Ojha, Giorgio Jansen, Andrea Patane +3

We propose a two-stage multi-objective optimization framework for full scheme solar cell structure design and characterization, cost minimization and quantum efficiency maximizatio…

cs.NE2020★ 3 cited

Multi-Objective Optimisation of Multi-Output Neural Trees

Varun Ojha, Giuseppe Nicosia

We propose an algorithm and a new method to tackle the classification problems. We propose a multi-output neural tree (MONT) algorithm, which is an evolutionary learning algorithm…

cs.AI2019★ 140 cited

Heuristic design of fuzzy inference systems: A review of three decades of research

Varun Ojha, Ajith Abraham, Vaclav Snasel

This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy inference systems (FIS) using five well known computational frameworks: genetic-fuzzy system…

cs.HC2018★ 68 cited

Machine learning approaches to understand the influence of urban environments on human's physiological response

Varun Kumar Ojha, Danielle Griego, Saskia Kuliga +9

This research proposes a framework for signal processing and information fusion of spatial-temporal multi-sensor data pertaining to understanding patterns of humans physiological c…

cs.NE2017★ 12 cited

Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree

Varun Kumar Ojha, Serena Schiano, Chuan-Yu Wu +2

In this work, a computational intelligence (CI) technique named flexible neural tree (FNT) was developed to predict die filling performance of pharmaceutical granules and to identi…

cs.NE2017★ 4 cited

Convergence Analysis of Backpropagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases

Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri +1

Human fatalities are reported due to the excessive proportional presence of hazardous gas components in the manhole, such as Hydrogen Sulfide, Ammonia, Methane, Carbon Dioxide, Nit…

cs.NE2017★ 21 cited

ACO for Continuous Function Optimization: A Performance Analysis

Varun Kumar Ojha, Ajith Abraham, Vaclav Snasel

The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance…

cs.NE2017★ 6 cited

Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics

Varun Kumar Ojha, Ajith Abraham, Vaclav Snasel

Optimization of neural network (NN) significantly influenced by the transfer function used in its active nodes. It has been observed that the homogeneity in the activation nodes do…

cs.NE2017★ 8 cited

Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study

Varun Kumar Ojha, Paramartha Dutta, Atal Chaudhuri

In this work, we formulated a real-world problem related to sewer pipeline gas detection using the classification-based approaches. The primary goal of this work was to identify th…

q-bio.QM2017★ 8 cited

Dimensionality reduction, and function approximation of poly(lactic-co-glycolic acid) micro- and nanoparticle dissolution rate

Varun Kumar Ojha, Konrad Jackowski, Ajith Abraham +1

Prediction of poly(lactic co glycolic acid) (PLGA) micro- and nanoparticles' dissolution rates plays a significant role in pharmaceutical and medical industries. The prediction of…

cs.AI2017★ 18 cited

Multiobjective Programming for Type-2 Hierarchical Fuzzy Inference Trees

Varun Kumar Ojha, Vaclav Snasel, Ajith Abraham

This paper proposes a design of hierarchical fuzzy inference tree (HFIT). An HFIT produces an optimum treelike structure, i.e., a natural hierarchical structure that accommodates s…

cs.NE2017★ 26 cited

Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming

Varun Kumar Ojha, Ajith Abraham, Václav Snášel

Machine learning algorithms are inherently multiobjective in nature, where approximation error minimization and model's complexity simplification are two conflicting objectives. We…

cs.NE2017★ 604 cited

Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research

Varun Kumar Ojha, Ajith Abraham, Václav Snášel

Over the past two decades, the feedforward neural network (FNN) optimization has been a key interest among the researchers and practitioners of multiple disciplines. The FNN optimi…

cs.NE2012★ 5 cited

Performance Analysis Of Neuro Genetic Algorithm Applied On Detecting Proportion Of Components In Manhole Gas Mixture

Varun Kumar Ojha, Paramartha Dutta, Hiranmay Saha

The article presents performance analysis of a real valued neuro genetic algorithm applied for the detection of proportion of the gases found in manhole gas mixture. The neural net…