Hamid Nasiri

According to our database, Hamid Nasiri authored at least 21 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome.

Fatma Hilal Yagin, Ahmadreza Shateri, Hamid Nasiri, Burak Yagin, Cemil Colak, Abdullah F. Alghannam

PeerJ Comput. Sci., 2024

2023

A scheduling algorithm to maximize storm throughput in heterogeneous cluster.

Hamid Nasiri, Saeed Nasehi, Arman Divband, Maziar Goudarzi

J. Big Data, December, 2023

H-Storm: A Hybrid CPU-FPGA Architecture to Accelerate Apache Storm.

Hamid Nasiri, Armin Darjani, Nima Kavand, Maziar Goudarzi

J. Grid Comput., December, 2023

Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition.

Hamid Nasiri, Mohammad Mehdi Ebadzadeh

Appl. Soft Comput., November, 2023

Breast cancer diagnosis from histopathology images using deep neural network and XGBoost.

Alireza Maleki, Mohammad Raahemi, Hamid Nasiri

Biomed. Signal Process. Control., September, 2023

PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson's disease.

Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri

Softw. Impacts, May, 2023

SyMPox: An Automated Monkeypox Detection System Based on Symptoms Using XGBoost.

Alireza Farzipour, Roya Elmi, Hamid Nasiri

CoRR, 2023

Medical Asset Management: Deep Learning Based Asset Usage Prediction in a Hospital Setting Using Real Data.

Mona Esmaeili, Zeinab Akhavan, Hamid Nasiri, Yonatan Melese Worku, Sisay Tadesse Arzo, Andreas Stavropoulos, Michael Devetsikiotis, Payman Zarkesh-Ha

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19.

Sharif Hasani, Hamid Nasiri

Softw. Impacts, 2022

MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction.

Hamid Nasiri, Mohammad Mehdi Ebadzadeh

Neurocomputing, 2022

Diagnosis of Parkinson's Disease Based on Voice Signals Using SHAP and Hard Voting Ensemble Method.

Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, Arman Homafar

CoRR, 2022

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods.

Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri, Samaneh Emami

CoRR, 2022

Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM.

Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv

CoRR, 2022

A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images.

Hamid Nasiri, Seyed Ali Alavi

Comput. Intell. Neurosci., 2022

Classification of Breast Tumors Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods.

Mohammad Reza Abbasniya, Sayed Ali Sheikholeslamzadeh, Hamid Nasiri, Samaneh Emami

Comput. Electr. Eng., 2022

Semantic schema based genetic programming for symbolic regression.

Zahra Zojaji, Mohammad Mehdi Ebadzadeh, Hamid Nasiri

Appl. Soft Comput., 2022

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM.

Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, Mona Esmaeili, Amir Raeisi Nafchi, Mohsen Haji Ghorbani, Payman Zarkesh-Ha

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

A novel framework based on deep learning and ANOVA feature selection method for diagnosis of COVID-19 cases from chest X-ray Images.

Hamid Nasiri, Seyyed Ali Alavi

CoRR, 2021

Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost.

Hamid Nasiri, Sharif Hasani

CoRR, 2021

2019

Evaluation of distributed stream processing frameworks for IoT applications in Smart Cities.

Hamid Nasiri, Saeed Nasehi, Maziar Goudarzi

J. Big Data, 2019

2016

Dynamic FPGA-accelerator sharing among concurrently running virtual machines.

Hamid Nasiri, Maziar Goudarzi

Proceedings of the 2016 IEEE East-West Design & Test Symposium, 2016