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ORCIDNavid Razmjooy
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2020 – today
- 2025
[j28]Huan Ding, Qirui Huang, Navid Razmjooy:
An improved version of firebug swarm optimization algorithm for optimizing Alex/ELM network kidney stone detection. Biomed. Signal Process. Control. 99: 106898 (2025)- 2024
- [j27]Muhammad Basit Umair, Zeshan Iqbal, Muhammad Ahmad Faraz, Muhammad Attique Khan
, Yu-Dong Zhang, Navid Razmjooy, Sefedine Kadry:
A Network Intrusion Detection System Using Hybrid Multilayer Deep Learning Model. Big Data 12(5): 367-376 (2024) - [j26]Qirui Huang, Huan Ding, Navid Razmjooy:
Oral cancer detection using convolutional neural network optimized by combined seagull optimization algorithm. Biomed. Signal Process. Control. 87(Part B): 105546 (2024) - [j25]Yufei Zuo, Jinting Shao, Navid Razmjooy:
Anterior cruciate ligament tear detection using gated recurrent unit and flexible fitness dependent optimizer. Biomed. Signal Process. Control. 96: 106616 (2024) - [j24]Hongxia Xu, Navid Razmjooy:
Self-adaptive henry gas solubility optimizer for identification of solid oxide fuel cell. Evol. Syst. 15(1): 133-151 (2024) - 2023
- [j23]Qirui Huang, Huan Ding, Navid Razmjooy:
Optimal deep learning neural network using ISSA for diagnosing the oral cancer. Biomed. Signal Process. Control. 84: 104749 (2023) - [j22]Navid Razmjooy, Ali Arshaghi:
Application of Multilevel Thresholding and CNN for the Diagnosis of Skin Cancer Utilizing a Multi-Agent Fuzzy Buzzard Algorithm. Biomed. Signal Process. Control. 84: 104984 (2023) - [j21]Junjie Sun, Lijuan Wang, Navid Razmjooy:
Anterior cruciate ligament tear detection based on deep belief networks and improved honey badger algorithm. Biomed. Signal Process. Control. 84: 105019 (2023) - [j20]Chaohua Yan, Navid Razmjooy:
Kidney stone detection using an optimized Deep Believe network by fractional coronavirus herd immunity optimizer. Biomed. Signal Process. Control. 86(Part A): 104951 (2023) - [j19]Chaohua Yan, Navid Razmjooy:
Optimal lung cancer detection based on CNN optimized and improved Snake optimization algorithm. Biomed. Signal Process. Control. 86(Part C): 105319 (2023) - [j18]Qi Ding, Navid Razmjooy:
An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer. Int. J. Imaging Syst. Technol. 33(3): 1092-1107 (2023) - 2022
- [j17]Yeguo Xu, Yuhang Wang, Navid Razmjooy:
Lung cancer diagnosis in CT images based on Alexnet optimized by modified Bowerbird optimization algorithm. Biomed. Signal Process. Control. 77: 103791 (2022) - [j16]Danial Bahmanyar, Navid Razmjooy, Seyedali Mirjalili:
Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module-based technique. Knowl. Based Syst. 247: 108762 (2022) - 2021
- [j15]Qingji Tian, Yongtang Wu, Xiaojun Ren, Navid Razmjooy:
A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm. Biomed. Signal Process. Control. 68: 102761 (2021) - [j14]An Hu, Navid Razmjooy:
Brain tumor diagnosis based on metaheuristics and deep learning. Int. J. Imaging Syst. Technol. 31(2): 657-669 (2021) - 2020
- [j13]Mahdi Mir, Mohammad Dayyani, Tole Sutikno, Morteza Mohammadi Zanjireh, Navid Razmjooy:
Employing a Gaussian Particle Swarm Optimization method for tuning Multi Input Multi Output-fuzzy system as an integrated controller of a micro-grid with stability analysis. Comput. Intell. 36(1): 225-258 (2020) - [j12]Navid Razmjooy, Vania Vieira Estrela, Hermes Jose Loschi:
Entropy-Based Breast Cancer Detection in Digital Mammograms Using World Cup Optimization Algorithm. Int. J. Swarm Intell. Res. 11(3): 1-18 (2020) - [c1]Maria Aparecida de Jesus, Vania Vieira Estrela, Wilma Dora Huacasi Mamani, Navid Razmjooy, Pedro Plaza, Aruquia Peixoto:
Using Transmedia Approaches in STEM. EDUCON 2020: 1013-1016
2010 – 2019
- 2018
- [j11]Mohammad Makaremi, Navid Razmjooy, Mehdi Ramezani:
A new method for detecting texture defects based on modified local binary pattern. Signal Image Video Process. 12(7): 1395-1401 (2018) - 2017
- [j10]Navid Razmjooy, Mehdi Ramezani, Noradin Ghadimi:
Imperialist Competitive Algorithm-Based Optimization of Neuro-Fuzzy System Parameters for Automatic Red-eye Removal. Int. J. Fuzzy Syst. 19(4): 1144-1156 (2017) - 2014
- [j9]Hossein Hosseini, Behrooz Tousi, Navid Razmjooy:
Application of fuzzy subtractive clustering for optimal transient performance of automatic generation control in restructured power system. J. Intell. Fuzzy Syst. 26(3): 1155-1166 (2014) - [j8]Navid Razmjooy, Bibi Somayeh Mousavi, Mohsen Khalilpour, Hossein Hosseini:
Automatic selection and fusion of color spaces for image thresholding. Signal Image Video Process. 8(4): 603-614 (2014) - [j7]Bibi Somayeh Mousavi, Fazlollah Soleymani, Navid Razmjooy:
Semantic image classification by genetic algorithm using optimised fuzzy system based on Zernike moments. Signal Image Video Process. 8(5): 831-842 (2014) - 2013
- [j6]Payman Moallem, Navid Razmjooy, Mohsen Ashourian:
Computer Vision-Based Potato Defect Detection using Neural Networks and Support Vector Machine. Int. J. Robotics Autom. 28(2) (2013) - [j5]Navid Razmjooy, Bibi Somayeh Mousavi, Fazlollah Soleymani:
A hybrid neural network Imperialist Competitive Algorithm for skin color segmentation. Math. Comput. Model. 57(3-4): 848-856 (2013) - [j4]Bibi Somayeh Mousavi, Fazlollah Soleymani, Navid Razmjooy:
Color image segmentation using neuro-fuzzy system in a novel optimized color space. Neural Comput. Appl. 23(5): 1513-1520 (2013) - [j3]Navid Razmjooy, Bibi Somayeh Mousavi, Fazlollah Soleymani, M. Hosseini Khotbesara:
A computer-aided diagnosis system for malignant melanomas. Neural Comput. Appl. 23(7-8): 2059-2071 (2013) - 2012
- [j2]M. Rostamzadeh, Khalil Valipour, Seyed-Jalal Seyed-Shenava, Mohsen Khalilpour, Navid Razmjooy:
Optimal location and capacity of multi-distributed generation for loss reduction and voltage profile improvement using imperialist competitive algorithm. Artif. Intell. Res. 1(2): 56-66 (2012) - [j1]Navid Razmjooy, Bibi Somayeh Mousavi, Fazlollah Soleymani:
A real-time mathematical computer method for potato inspection using machine vision. Comput. Math. Appl. 63(1): 268-279 (2012)
Coauthor Index
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