Amir H. Gandomi

Orcid: 0000-0002-2798-0104

According to our database1, Amir H. Gandomi authored at least 36 papers between 2017 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Framework for Healthy/Hemorrhagic Brain Condition Detection using CT Scan Images.
Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

A Filter-Based Feature Selection and Ranking Approach to Enhance Genetic Programming for High-Dimensional Data Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Cooperative Geometric Scheme for Passive Localization of Target in an Indoor Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Adaptive Version of Differential Evolution for Solving CEC2014, CEC 2017 and CEC 2022 Test Suites.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Efficient Video Summarization for Smart Surveillance Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Understanding the Effects of Ant Algorithms on Path Planning with Gain-Ant Colony Optimization.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

N-Gram-Based Machine Learning Approach for Bot or Human Detection from Text Messages.
Proceedings of the ISMSI 2022: 6th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, Seoul, Republic of Korea, April 9, 2022

Graph Neural Networks in Computer Vision - Architectures, Datasets and Common Approaches.
Proceedings of the International Joint Conference on Neural Networks, 2022

GECCO 2022#: embedding knowledge into optimization process.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Secured Certificateless Sign-encrypted Blockchain Communication for Intelligent Transport System.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Hybridizing Cuckoo Search with Naked Mole-rat Algorithm: Adapting for CEC 2017 and CEC 2021 Test Suites.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

A DRL based 4-r Computation Model for Object Detection on RSU using LiDAR in IloT.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

An Online Intelligent Task Pricing Mechanism Based on Reverse Auction in Mobile Crowdsensing Networks for the Internet of Things.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Analysis of integration of financial series classification and constrained portfolio optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Adaptive Graph Co-Attention Networks for Traffic Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Text-Based Product Matching with Incomplete and Inconsistent Items Descriptions.
Proceedings of the Computational Science - ICCS 2021, 2021

Structural damage identification under non-linear EOV effects using genetic programming.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

An Evolutionary Framework for Real-Time Fraudulent Credit Detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Advancing Genetic Programming via Information Theory.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Machine Learning Inspired Phishing Detection (PD) for Efficient Classification and Secure Storage Distribution (SSD) for Cloud-IoT Application.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Interpretable Deep Learning Framework for Health Monitoring Systems: A Case Study of Eye State Detection using EEG Signals.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Auction based Edge Resource Allocation Mechanism for IoT-enabled Smart Cities.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Selection of Apt Renewable Energy Source for Smart Cities using Generalized Orthopair Fuzzy Information.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Financial time-series analysis of Brazilian stock market using machine learning.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improving Cuckoo Search: Incorporating Changes for CEC 2017 and CEC 2020 Benchmark Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Swarm Intelligence Based Feature Selection for Intrusion and Detection System in Cloud Infrastructure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018
Deep Learning in Medical Imaging: fMRI Big Data Analysis via Convolutional Neural Networks.
Proceedings of the Practice and Experience on Advanced Research Computing, 2018

A Pareto Front Based Evolutionary Model for Airfoil Self-Noise Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Evolutionary Online Framework for MOOC Performance Using EEG Data.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
High Performance GP-Based Approach for fMRI Big Data Classification.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

Genetic Programming Based on Error Decomposition: A Big Data Approach.
Proceedings of the Genetic Programming Theory and Practice XV, 2017

An evolutionary approach for fMRI big data classification.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017


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