Naveed Ishtiaq Chaudhary

Orcid: 0000-0002-9568-3216

According to our database1, Naveed Ishtiaq Chaudhary authored at least 41 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
RP-SWSGD: Design of sliding window stochastic gradient descent method with user's ratings pattern for recommender systems.
Multim. Tools Appl., April, 2024

Fractional order swarming intelligence for multi-objective load dispatch with photovoltaic integration.
Eng. Appl. Artif. Intell., 2024

2023
Parameter estimation of nonlinear systems: dwarf mongoose optimization algorithm with key term separation principle.
J. Ambient Intell. Humaniz. Comput., December, 2023

Dynamical analysis of nonlinear fractional order Lorenz system with a novel design of intelligent solution predictive radial base networks.
Math. Comput. Simul., November, 2023

2022
Weighted differential evolution-based heuristic computing for identification of Hammerstein systems in electrically stimulated muscle modeling.
Soft Comput., 2022

Electricity Theft Detection in Smart Grids Using a Hybrid BiGRU-BiLSTM Model with Feature Engineering-Based Preprocessing.
Sensors, 2022

Fuzzy-Evolution Computing Paradigm for Fractional Hammerstein Control Autoregressive Systems.
Int. J. Fuzzy Syst., 2022

MISGD: Moving-Information-Based Stochastic Gradient Descent Paradigm for Personalized Fuzzy Recommender Systems.
Int. J. Fuzzy Syst., 2022

Design of fractional comprehensive learning PSO strategy for optimal power flow problems.
Appl. Soft Comput., 2022

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

Design of moth flame optimization heuristics for integrated power plant system containing stochastic wind.
Appl. Soft Comput., 2021

2020
A New Computing Paradigm for Off-Grid Direction of Arrival Estimation Using Compressive Sensing.
Wirel. Commun. Mob. Comput., 2020

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

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

Design of normalized fractional SGD computing paradigm for recommender systems.
Neural Comput. Appl., 2020

Design of sign fractional optimization paradigms for parameter estimation of nonlinear Hammerstein systems.
Neural Comput. Appl., 2020

A New Fractional Particle Swarm Optimization with Entropy Diversity Based Velocity for Reactive Power Planning.
Entropy, 2020

Design of Fractional Swarm Intelligent Computing With Entropy Evolution for Optimal Power Flow Problems.
IEEE Access, 2020

A Robust Multi Sample Compressive Sensing Technique for DOA Estimation Using Sparse Antenna Array.
IEEE Access, 2020

2019
A novel application of kernel adaptive filtering algorithms for attenuation of noise interferences.
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

Design of hybrid nature-inspired heuristics with application to active noise control systems.
Neural Comput. Appl., 2019

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

Fractional Volterra LMS algorithm with application to Hammerstein control autoregressive model identification.
Neural Comput. Appl., 2019

Fractional stochastic gradient descent for recommender systems.
Electron. Mark., 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

A New Users Rating-Trend Based Collaborative Denoising Auto-Encoder for Top-N Recommender Systems.
IEEE Access, 2019

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

Momentum fractional LMS for power signal parameter estimation.
Signal Process., 2018

Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system.
Neural Comput. Appl., 2018

Design of momentum LMS adaptive strategy for parameter estimation of Hammerstein controlled autoregressive systems.
Neural Comput. Appl., 2018

Novel generalization of Volterra LMS algorithm to fractional order with application to system identification.
Neural Comput. Appl., 2018

Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification of secondary path.
Frontiers Inf. Technol. Electron. Eng., 2018

Backtracking search integrated with sequential quadratic programming for nonlinear active noise control systems.
Appl. Soft Comput., 2018

2017
Modified Volterra LMS algorithm to fractional order for identification of Hammerstein non-linear system.
IET Signal Process., 2017

2016
Reliable numerical treatment of nonlinear singular Flierl-Petviashivili equations for unbounded domain using ANN, GAs, and SQP.
Appl. Soft Comput., 2016

Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes.
Appl. Soft Comput., 2016

2015
Two-stage fractional least mean square identification algorithm for parameter estimation of CARMA systems.
Signal Process., 2015

Design of fractional adaptive strategy for input nonlinear Box-Jenkins systems.
Signal Process., 2015

2014
Adaptive strategies for parameter estimation of Box-Jenkins systems.
IET Signal Process., 2014


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