Abbas Khosravi

发表

Material Recognition for Automated Progress Monitoring using Deep Learning Methods pdf

Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, 2020, ArXiv.

Comparing the performance of different types of distributed fuzzy-based traffic signal controllers

Abbas Khosravi, Sahar Araghi, Douglas Creighton, 2019, J. Intell. Fuzzy Syst..

A radon-based convolutional neural network for medical image retrieval

Saeid Nahavandi, Hamid R. Tizhoosh, Abbas Khosravi, 2018 .

A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions

Saeid Nahavandi, Fernando Bello, Darius Nahavandi, 2020, 2020 IEEE International Conference on Human-Machine Systems (ICHMS).

Classification of Voltage Sags Based on MPCA Models

Abbas Khosravi, Joaquím Meléndez, Joan Colomer-Llinas, 2007, IbPRIA.

Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2016, 2016 3rd International Conference on Computer and Information Sciences (ICCOINS).

Optimal Uncertainty-guided Neural Network Training pdf

Saeid Nahavandi, Abbas Khosravi, Dipti Srinivasan, 2019, Appl. Soft Comput..

Integrating a Feature Selection Algorithm for Classification of Voltage Sags Originated in Transmission and Distribution Networks

Abbas Khosravi, Joaquím Meléndez, Joan Colomer-Llinas, 2007, CCIA.

Optimal distribution feeder reconfiguration for increasing the penetration of plug-in electric vehicles and minimizing network costs

Abbas Khosravi, Abdollah Kavousi-Fard, Alireza Abbasi, 2015 .

Fault modeling for nonlinear systems using ANFIS

Jie Lu, Abbas Khosravi, 2006 .

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2016 .

Uncertainty Quantification Neural Network from Similarity and Sensitivity

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A new genetic fuzzy system approach for parameter estimation of ARIMA model

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2012 .

Developing a computationally effective Interval Type-2 TSK Fuzzy Logic Controller

Saeid Nahavandi, Abbas Khosravi, Abbas Khosravi, 2020, J. Intell. Fuzzy Syst..

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

Saeid Nahavandi, Navid Ghassemi, Afshin Shoeibi, 2021, Expert Syst. Appl..

Neural Network Training for Uncertainty Quantification Over Time-Range

Saeid Nahavandi, Abbas Khosravi, Dipti Srinivasan, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis pdf

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

U. Rajendra Acharya, Roohallah Alizadehsani, Abbas Khosravi, 2020, Soft Comput..

Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study

Saeid Nahavandi, Darius Nahavandi, Abbas Khosravi, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Approximation of centroid end-points and switch points for replacing type reduction algorithms

Dongrui Wu, Saeid Nahavandi, Abbas Khosravi, 2015, Int. J. Approx. Reason..

Hybrid Artificial Neural Network–Genetic Algorithm-Based Technique to Optimize a Steady-State Gas-to-Liquids Plant

Abbas Khosravi, Elham Yasari, Vahid Khezri, 2020 .

Epileptic Seizures Detection Using Deep Learning Techniques: A Review pdf

Amir F. Atiya, U. Rajendra Acharya, Navid Ghassemi, 2020, International journal of environmental research and public health.

Neuroevolution-based autonomous robot navigation: A comparative study

Saeid Nahavandi, Abbas Khosravi, Seyed Mohammad Mirjalili, 2020, Cognitive Systems Research.

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval

Saeid Nahavandi, Hamid R. Tizhoosh, Abbas Khosravi, 2018, Expert Syst. Appl..

Construction and optimisation of prediction intervals for neural network models

Abbas Khosravi, 2010 .

Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2019, ICONIP.

Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations

Saeid Nahavandi, Abbas Khosravi, Parham M. Kebria, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Wind power forecasting using emotional neural networks

Saeid Nahavandi, Abbas Khosravi, Ehsan Lotfi, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An intelligent θ-Modified Bat Algorithm to solve the non-convex economic dispatch problem considering practical constraints

Abbas Khosravi, Abdollah Kavousi-Fard, A. Khosravi, 2016 .

Autonomous Robot Navigation Using Moth-Flame-Based Neuroevolution

Saeid Nahavandi, Abbas Khosravi, Seyedali Mirjalili, 2020 .

Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, IEEE Transactions on Fuzzy Systems.

Neural Network Training Using a Biogeography-Based Learning Strategy

Saeid Nahavandi, Gerald Schaefer, Abbas Khosravi, 2020, ICONIP.

A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2020, Expert Syst. Appl..

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS

Mojtaba Ahmadieh Khanesar, Abbas Khosravi, Jafreezal Jaafar, 2017, Appl. Soft Comput..

Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals

Sadiq Hussain, Farnad Nasirzadeh, Abbas Khosravi, 2020 .

Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran

Abbas Khosravi, Majid Zandi, Mahdi Pourgholi, 2020 .

A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast

Saeid Nahavandi, Abbas Khosravi, Abdollah Kavousi-Fard, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Abbas Khosravi, Muhammad Qamar Raza, M. Raza, 2015 .

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting

Abbas Khosravi, Jafreezal Jaafar, Saima Hassan, 2015 .

Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays

Saeid Nahavandi, Fernando Bello, Darius Nahavandi, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: A comparative study

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2016 .

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, Comput. Biol. Medicine.

A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges pdf

Li Liu, Xiaochun Cao, Abbas Khosravi, 2020, Inf. Fusion.

A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images

Saeid Nahavandi, Abbas Khosravi, Pegah Tabarisaadi, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for a Flexible Joint Manipulator

Saeid Nahavandi, Abbas Khosravi, Afshar Shamsi Jokandan, 2019, ICONIP.

Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

Saeid Nahavandi, U. Rajendra Acharya, Roohallah Alizadehsani, 2020, Expert Syst. J. Knowl. Eng..

Objective evaluation of deep uncertainty predictions for COVID-19 detection pdf

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, Scientific Reports.

Development of novel algorithm to visualize blood vessels on 3D ultrasound images during liver surgery

Afshin Shoeibi, Roohallah Alizadehsani, Abbas Khosravi, 2020 .

A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2015 .

Robust Adaptive Control Scheme for Teleoperation Systems With Delay and Uncertainties

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2020, IEEE Transactions on Cybernetics.

Multi-objective probabilistic distribution feeder reconfiguration considering wind power plants

Taher Niknam, Abbas Khosravi, Abdollah Kavousi-Fard, 2014 .

Effects of type reduction algorithms on forecasting accuracy of IT2FLS models

Saeid Nahavandi, Abbas Khosravi, Abbas Khosravi, 2014, Appl. Soft Comput..

Uncertainty handling using neural network-based prediction intervals for electrical load forecasting

Abbas Khosravi, Dipti Srinivasan, Hao Quan, 2014 .

Partial Adversarial Training for Neural Network-Based Uncertainty Quantification

Saeid Nahavandi, Abbas Khosravi, Abbas Khosravi, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Bayesian Randomly Wired Neural Network with Variational Inference for Image Recognition

Saeid Nahavandi, Abbas Khosravi, Pegah Tabarisaadi, 2020, ICONIP.

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Comput. Biol. Medicine.

SpinalNet: Deep Neural Network with Gradual Input pdf

Saeid Nahavandi, Abbas Khosravi, Dipti Srinivasan, 2020, ArXiv.

A genetic algorithm-based method for improving quality of travel time prediction intervals

Saeid Nahavandi, Abbas Khosravi, J. W. C. van Lint, 2011 .

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, ArXiv.