Khosro Rezaee

Orcid: 0000-0001-6763-6626

According to our database1, Khosro Rezaee authored at least 25 papers between 2015 and 2025.

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

Timeline

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Bibliography

2025
Diagnose Alzheimer's disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals.
Biomed. Signal Process. Control., 2025

2024
An efficient computer-aided diagnosis model for classifying melanoma cancer using fuzzy-ID3-pvalue decision tree algorithm.
Multim. Tools Appl., September, 2024

A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance.
Pers. Ubiquitous Comput., February, 2024

Can You Understand Why I Am Crying? A Decision-making System for Classifying Infants' Cry Languages Based on DeepSVM Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2024

Channel Attention-Based Approach with Autoencoder Network for Human Action Recognition in Low-Resolution Frames.
Int. J. Intell. Syst., 2024

A Hybrid Deep Neural Network Approach to Recognize Driving Fatigue Based on EEG Signals.
Int. J. Intell. Syst., 2024

2023
Crowd Emotion Prediction for Human-Vehicle Interaction Through Modified Transfer Learning and Fuzzy Logic Ranking.
IEEE Trans. Intell. Transp. Syst., December, 2023

Mobile computing-enabled health physique evaluation in campus based on amplified hashing.
J. Cloud Comput., December, 2023

Predicting the total Unified Parkinson's Disease Rating Scale (UPDRS) based on ML techniques and cloud-based update.
J. Cloud Comput., December, 2023

Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system.
Biomed. Signal Process. Control., September, 2023

A novel buffering fault-tolerance approach for network on chip (NoC).
IET Circuits Devices Syst., July, 2023

Fusing handcrafted and deep features for multi-class cardiac diagnostic decision support model based on heart sound signals.
J. Ambient Intell. Humaniz. Comput., March, 2023

Smart Visual Sensing for Overcrowding in COVID-19 Infected Cities Using Modified Deep Transfer Learning.
IEEE Trans. Ind. Informatics, 2023

Interaction-Enhanced and Time-Aware Graph Convolutional Network for Successive Point-of-Interest Recommendation in Traveling Enterprises.
IEEE Trans. Ind. Informatics, 2023

IoMT-Assisted Medical Vehicle Routing Based on UAV-Borne Human Crowd Sensing and Deep Learning in Smart Cities.
IEEE Internet Things J., 2023

2022
Graph convolutional network-based deep feature learning for cardiovascular disease recognition from heart sound signals.
Int. J. Intell. Syst., December, 2022

An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning.
IEEE Trans. Intell. Transp. Syst., 2022

TraitLWNet: a novel predictor of personality trait by analyzing Persian handwriting based on lightweight deep convolutional neural network.
Multim. Tools Appl., 2022

Deep Transfer Learning-Based Fall Detection Approach Using IoMT-Enabled Thermal Imaging-Assisted Pervasive Surveillance and Big Health Data.
J. Circuits Syst. Comput., 2022

Deep-Transfer-Learning-Based Abnormal Behavior Recognition Using Internet of Drones for Crowded Scenes.
IEEE Internet Things Mag., 2022

A direct classification approach to recognize stress levels in virtual reality therapy for patients with multiple sclerosis.
Comput. Intell., 2022

A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals.
Biomed. Signal Process. Control., 2022

2021
An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning.
J. Comput. Des. Eng., 2021

2017
Optimized clinical segmentation of retinal blood vessels by using combination of adaptive filtering, fuzzy entropy and skeletonization.
Appl. Soft Comput., 2017

2015
Modeling abnormal walking of the elderly to predict risk of the falls using Kalman filter and motion estimation approach.
Comput. Electr. Eng., 2015


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