Golnoush Abaei

16 papers Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Behaviour Driven Development Scenario Generation with Large Language Models.
CoRR
Amila Rathnayake, Mojtaba Shahin, Golnoush Abaei
2026 J jnl
One-Year Internship Program on Software Engineering: Students' Perceptions and Educators' Lessons Learned.
CoRR
Golnoush Abaei, Mojtaba Shahin, Maria Spichkova
2025 J jnl
Improved thin cap Fibroatheroma detection system using virtual histology-intravascular ultrasound image based on the empirical study.
Neural Comput. Appl.
Zahra Rezaei, Golnoush Abaei
2023 J jnl
Empirical analyses of genetic algorithm and grey wolf optimiser to improve their efficiency with a new multi-objective weighted fitness function for feature selection in machine learning classification: the roadmap.
J. Exp. Theor. Artif. Intell.
Azam Davahli, Mahboubeh Shamsi, Golnoush Abaei, Arash Khosravi
2022 — conf
Improving software fault prediction in imbalanced datasets using the under-sampling approach.
ICSCA
Golnoush Abaei, Wen Zhong Tah, Jason Zhern Wee Toh, Ethan Sheng Jian Hor
2022 J jnl
RLBEEP: Reinforcement-Learning-Based Energy Efficient Control and Routing Protocol for Wireless Sensor Networks.
IEEE Access
Ali Forghani Elah Abadi, Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, Golnoush Abaei, Morteza Nabavi, Yvon Savaria
2020 J jnl
A fuzzy logic expert system to predict module fault proneness using unlabeled data.
J. King Saud Univ. Comput. Inf. Sci.
Golnoush Abaei, Ali Selamat, Jehad Al Dallal
2020 J jnl
A hybrid Type-2 Fuzzy Logic System and Extreme Learning Machine for low-cost INS/GPS in high-speed vehicular navigation system.
Appl. Soft Comput.
Elahe Sadat Abdolkarimi, Golnoush Abaei, Ali Selamat, Mohammad Reza Mosavi
2020 J jnl
Hybridizing genetic algorithm and grey wolf optimizer to advance an intelligent and lightweight intrusion detection system for IoT wireless networks.
J. Ambient Intell. Humaniz. Comput.
Azam Davahli, Mahboubeh Shamsi, Golnoush Abaei
2015 J jnl
An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction.
Knowl. Based Syst.
Golnoush Abaei, Ali Selamat, Hamido Fujita
2015 — ch.
Increasing the Accuracy of Software Fault Prediction Using Majority Ranking Fuzzy Clustering.
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Golnoush Abaei, Ali Selamat
2015 J jnl
Software fault prediction using BP-based crisp artificial neural networks.
Int. J. Intell. Inf. Database Syst.
Golnoush Abaei, M. Reza Mashinchi, Ali Selamat
2014 J jnl
A survey on software fault detection based on different prediction approaches.
Vietnam. J. Comput. Sci.
Golnoush Abaei, Ali Selamat
2014 J jnl
Increasing the Accuracy of Software Fault Prediction using Majority Ranking Fuzzy Clustering.
Int. J. Softw. Innov.
Golnoush Abaei, Ali Selamat
2014 Misc conf
Software Fault Prediction Based on Improved Fuzzy Clustering.
DCAI
Golnoush Abaei, Ali Selamat
2013 — conf
Fault prediction by utilizing self-organizing Map and Threshold.
ICCSCE
Golnoush Abaei, Zahra Rezaei, Ali Selamat