Ahmad Kalhor
Orcid: 0000-0001-6657-6705
According to our database1,
Ahmad Kalhor
authored at least 51 papers
between 2007 and 2024.
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Bibliography
2024
Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks.
CoRR, 2024
2023
A Comprehensive Interturn Fault Severity Diagnosis Method for Permanent Magnet Synchronous Motors Based on Transformer Neural Networks.
IEEE Trans. Ind. Informatics, November, 2023
Determining the trustworthiness of DNNs in classification tasks using generalized feature-based confidence metric.
Pattern Recognit., October, 2023
Evaluation of Dataflow through layers of convolutional neural networks in classification problems.
Expert Syst. Appl., August, 2023
A hand rubbing classification model based on image sequence enhanced by feature-based confidence metric.
Signal Image Video Process., July, 2023
Safe deep learning-based global path planning using a fast collision-free path generator.
Robotics Auton. Syst., May, 2023
Real-time hand rubbing quality estimation using deep learning enhanced by separation index and feature-based confidence metric.
Expert Syst. Appl., May, 2023
A Forward-backward Learning strategy for CNNs via Separation Index Maximizing at the First Convolutional Layer.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Experimental study on a novel simultaneous control and identification of a 3-DOF delta robot using model reference adaptive control.
Eur. J. Control, 2022
IsoCost-Based Dynamic Programming for Solving Infinite Horizon Optimal Control Problems.
CoRR, 2022
CoRR, 2022
Learning Enhancement of CNNs via Separation Index Maximizing at the First Convolutional Layer.
CoRR, 2022
Proceedings of the 8th International Conference on Control, 2022
Proceedings of the 8th International Conference on Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Dynamic model estimating and designing controller for the 2-DoF planar robot in interaction with cable-driven robot based on adaptive neural network.
J. Intell. Fuzzy Syst., 2021
CoRR, 2021
K-Splits: Improved K-Means Clustering Algorithm to Automatically Detect the Number of Clusters.
CoRR, 2021
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods.
CoRR, 2021
Unsupervised Generative Adversarial Network for Plantar Pressure Image-to-Image Translation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
Experimental Study on Shared-Control of a Mobile Robot via a Haptic Device with an Optimal Velocity Obstacle Based Receding Horizon Control Approach.
J. Intell. Robotic Syst., 2020
Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index.
CoRR, 2020
CoRR, 2020
2019
Partial identification and control of MIMO systems via switching linear reduced-order models under weak stimulations.
Evol. Syst., 2019
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems.
CoRR, 2019
Locally convex-regions approximation using an incremental quadratic-based fuzzy clustering.
Appl. Soft Comput., 2019
2018
An experimental dynamic identification & control of an overconstrained 3-DOF parallel mechanism in presence of variable friction and feedback delay.
Robotics Auton. Syst., 2018
Arc Length based Maximal Lyapunov Functions and domains of attraction estimation for polynomial nonlinear systems.
Autom., 2018
Identification and Control of MIMO Linear Systems under Sufficient and Insufficient Excitation.
Proceedings of the 2018 Annual American Control Conference, 2018
2016
IEEE Trans. Fuzzy Syst., 2016
An experimental study on the vision-based control and identification of planar cable-driven parallel robots.
Robotics Auton. Syst., 2016
Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method.
Evol. Syst., 2016
A self tuning regulator design for nonlinear time varying systems based on evolving linear models.
Evol. Syst., 2016
Order determination and robust adaptive control of unknown deterministic input-affine systems: An operational controller.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Generating flexible convex hyper-polygon validity regions via sigmoid-based membership functions in TS modeling.
Appl. Soft Comput., 2015
2014
A self tuning regulator for nonlinear time varying control systems based on evolving linear models.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014
2013
Inf. Sci., 2013
Appl. Soft Comput., 2013
2012
Introducing evolving Takagi-Sugeno method based on local least squares support vector machine models.
Evol. Syst., 2012
Expert Syst. Appl., 2012
Prediction of Breeding Values for Dairy Cattle Using Artificial Neural Networks and Neuro-Fuzzy Systems.
Comput. Math. Methods Medicine, 2012
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Reducing the number of local linear models in neuro-fuzzy modeling: A split-and-merge clustering approach.
Appl. Soft Comput., 2011
2010
An online predictor model as adaptive habitually linear and transiently nonlinear model.
Evol. Syst., 2010
2009
Online identification of a neuro-fuzzy model through indirect fuzzy clustering of data space.
Proceedings of the FUZZ-IEEE 2009, 2009
2007
A New Split and Merge Algorithm for Structure Identification in Takagi-Sugeno Fuzzy Model.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007