Aneela Zameer

Orcid: 0000-0003-3837-5775

According to our database1, Aneela Zameer authored at least 36 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Cost-sensitive stacked long short-term memory with an evolutionary framework for minority class detection.
Appl. Soft Comput., 2024

2023
Knacks of a hybrid anomaly detection model using deep auto-encoder driven gated recurrent unit.
Comput. Networks, May, 2023

MACGAN: An All-in-One Image Restoration Under Adverse Conditions Using Multidomain Attention-Based Conditional GAN.
IEEE Access, 2023

2022
A two-stage stacked ensemble intrusion detection system using five base classifiers and MLP with optimal feature selection.
Microprocess. Microsystems, October, 2022

Dynamics of nonlinear cantilever piezoelectric-mechanical system: An intelligent computational approach.
Math. Comput. Simul., 2022

A two-stage intrusion detection system with auto-encoder and LSTMs.
Appl. Soft Comput., 2022

2021
Intelligent forecast engine for short-term wind speed prediction based on stacked long short-term memory.
Neural Comput. Appl., 2021

Design of backtracking search heuristics for parameter estimation of power signals.
Neural Comput. Appl., 2021

Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier.
Medical Image Anal., 2021

Weighted differential evolution heuristics for improved multilayer piezoelectric transducer design.
Appl. Soft Comput., 2021

2020
Integrated intelligent computing for heat transfer and thermal radiation-based two-phase MHD nanofluid flow model.
Neural Comput. Appl., 2020

Integrated computational intelligent paradigm for nonlinear electric circuit models using neural networks, genetic algorithms and sequential quadratic programming.
Neural Comput. Appl., 2020

Design of meta-heuristic computing paradigms for Hammerstein identification systems in electrically stimulated muscle models.
Neural Comput. Appl., 2020

Design of nature-inspired heuristic paradigm for systems in nonlinear electrical circuits.
Neural Comput. Appl., 2020

Novel computing paradigms for parameter estimation in power signal models.
Neural Comput. Appl., 2020

Short term solar energy prediction by machine learning algorithms.
CoRR, 2020

Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images.
CoRR, 2020

Wind power prediction using a three stage genetic ensemble and auxiliary predictor.
Appl. Soft Comput., 2020

2019
Bio-inspired heuristics for layer thickness optimization in multilayer piezoelectric transducer for broadband structures.
Soft Comput., 2019

Numerical treatment of nonlinear singular Flierl-Petviashivili systems using neural networks models.
Neural Comput. Appl., 2019

Bio-inspired heuristics hybrid with sequential quadratic programming and interior-point methods for reliable treatment of economic load dispatch problem.
Neural Comput. Appl., 2019

Nature-inspired heuristic paradigms for parameter estimation of control autoregressive moving average systems.
Neural Comput. Appl., 2019

Differential evolution based computation intelligence solver for elliptic partial differential equations.
Frontiers Inf. Technol. Electron. Eng., 2019

Solution of Linear and Non-Linear Boundary Value Problems Using Population-Distributed Parallel Differential Evolution.
J. Artif. Intell. Soft Comput. Res., 2019

Backtracking search heuristics for identification of electrical muscle stimulation models using Hammerstein structure.
Appl. Soft Comput., 2019

Novel computing paradigms for parameter estimation in Hammerstein controlled auto regressive auto regressive moving average systems.
Appl. Soft Comput., 2019

Integrated intelligent computing paradigm for the dynamics of micropolar fluid flow with heat transfer in a permeable walled channel.
Appl. Soft Comput., 2019

2018
Parameter estimation for Hammerstein control autoregressive systems using differential evolution.
Signal Image Video Process., 2018

Nature-inspired computational intelligence integration with Nelder-Mead method to solve nonlinear benchmark models.
Neural Comput. Appl., 2018

Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power.
CoRR, 2018

Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models.
Appl. Soft Comput., 2018

Intelligent computing to analyze the dynamics of Magnetohydrodynamic flow over stretchable rotating disk model.
Appl. Soft Comput., 2018

2017
Biologically inspired computing framework for solving two-point boundary value problems using differential evolution.
Neural Comput. Appl., 2017

Wind power prediction using deep neural network based meta regression and transfer learning.
Appl. Soft Comput., 2017

2015
Machine Learning based short term wind power prediction using a hybrid learning model.
Comput. Electr. Eng., 2015

2014
Wind Power Prediction Using Genetic Programming Based Ensemble of Artificial Neural Networks (GPeANN).
Proceedings of the 12th International Conference on Frontiers of Information Technology, 2014


  Loading...