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ORCIDRaneem Qaddoura
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2020 – today
- 2024
[j18]Raneem Qaddoura
, Maram Bani Younes, Azzedine Boukerche:
Towards optimal tuned machine learning techniques based vehicular traffic prediction for real roads scenarios. Ad Hoc Networks 161: 103508 (2024)- [j17]Raneem Qaddoura, Hossam Faris:
Evolving random weight neural networks based on oversampled-segmented examples for IoT intrusion detection. J. Supercomput. 80(11): 16393-16427 (2024) - [i1]Fatma A. Hashim, Reham R. Mostafa, Ruba Abu Khurma, Raneem Qaddoura, Pedro A. Castillo:
A new approach for solving global optimization and engineering problems based on modified Sea Horse Optimizer. CoRR abs/2402.14044 (2024) - 2023
- [j16]Bilal Abu-Salih, Pornpit Wongthongtham, Kevin Coutinho, Raneem Qaddoura, Omar Alshaweesh, Mohammad O. Wedyan:
The development of a road network flood risk detection model using optimised ensemble learning. Eng. Appl. Artif. Intell. 122: 106081 (2023) - [j15]Kit Yan Chan, Bilal Abu-Salih, Raneem Qaddoura, Ala' M. Al-Zoubi, Vasile Palade, Duc-Son Pham, Javier Del Ser, Khan Muhammad:
Deep neural networks in the cloud: Review, applications, challenges and research directions. Neurocomputing 545: 126327 (2023) - [j14]Raneem Qaddoura, Maram Bani Younes:
Temporal prediction of traffic characteristics on real road scenarios in Amman. J. Ambient Intell. Humaniz. Comput. 14(7): 9751-9766 (2023) - [j13]Rong Zheng, Abdelazim G. Hussien, Raneem Qaddoura, Heming Jia, Laith Abualigah, Shuang Wang, Abeer Saber:
A multi-strategy enhanced African vultures optimization algorithm for global optimization problems. J. Comput. Des. Eng. 10(1): 329-356 (2023) - [j12]Fatma A. Hashim, Reham R. Mostafa, Ruba Abu Khurma, Raneem Qaddoura, Pedro A. Castillo:
A new approach for solving global optimization and engineering problems based on modified sea horse optimizer. J. Comput. Des. Eng. 11(1): 73-98 (2023) - [c8]Raneem Qaddoura, Mariam M. Biltawi, Hossam Faris:
A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection. AIBThings 2023: 1-7 - [c7]Mariam M. Biltawi, Raneem Qaddoura, Hossam Faris:
Optimizing Feature Selection and Oversampling Using Metaheuristic Algorithms for Binary Fraud Detection Classification. AIAI (1) 2023: 452-462 - [e1]João Correia, Stephen L. Smith, Raneem Qaddoura:
Applications of Evolutionary Computation - 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13989, Springer 2023, ISBN 978-3-031-30228-2 [contents] - 2022
- [j11]Ruba Obiedat, Raneem Qaddoura, Ala' M. Al-Zoubi, Laila Al Qaisi, Osama Harfoushi, Mo'ath Alrefai, Hossam Faris:
Sentiment Analysis of Customers' Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution. IEEE Access 10: 22260-22273 (2022) - [c6]Anh T. Dang, Raneem Qaddoura, Ala' M. Al-Zoubi, Hossam Faris, Pedro A. Castillo:
EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python. EvoApplications 2022: 77-92 - [c5]Raneem Qaddoura, Maram Bani Younes, Azzedine Boukerche:
Machine Learning Based Prediction with Parameters Tuning of Multi-Label Real Road Vehicles Characteristics. PE-WASUN 2022: 41-47 - 2021
- [j10]Iman M. Almomani, Raneem Qaddoura, Maria Habib, Samah Alsoghyer, Aala Al Khayer, Ibrahim Aljarah, Hossam Faris:
Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data. IEEE Access 9: 57674-57691 (2021) - [j9]Maria Habib, Mohammad Faris, Raneem Qaddoura, Alaa Alomari, Hossam Faris:
A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context. IEEE Access 9: 85690-85708 (2021) - [j8]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah:
An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis. J. Ambient Intell. Humaniz. Comput. 12(8): 8387-8412 (2021) - [j7]Ibrahim Aljarah, Maria Habib, Neveen Mohammed Hijazi, Hossam Faris, Raneem Qaddoura, Bassam Hammo, Mohammad Abd-Alrahman Mahmoud Abushariah, Mohammad Alfawareh:
Intelligent detection of hate speech in Arabic social network: A machine learning approach. J. Inf. Sci. 47(4) (2021) - [j6]Raneem Qaddoura, Ala' M. Al-Zoubi, Hossam Faris, Iman M. Almomani:
A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning. Sensors 21(9): 2987 (2021) - [j5]Maria Habib, Mohammad Faris, Raneem Qaddoura, Manal Alomari, Alaa Alomari, Hossam Faris:
Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach. Sensors 21(9): 3279 (2021) - [j4]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo:
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework. SN Comput. Sci. 2(3): 185 (2021) - [j3]Ruba Obiedat, Laila Al Qaisi, Raneem Qaddoura, Osama Harfoushi, Ala' M. Al-Zoubi:
An Intelligent Hybrid Sentiment Analyzer for Personal Protective Medical Equipments Based on Word Embedding Technique: The COVID-19 Era. Symmetry 13(12): 2287 (2021) - [c4]Raneem Qaddoura, Ala' M. Al-Zoubi, Iman M. Almomani, Hossam Faris:
Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach. ICIT 2021: 858-863 - [c3]Raneem Qaddoura, Maram Bani Younes, Azzedine Boukerche:
Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region. Q2SWinet 2021: 115-121 - 2020
- [j2]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah:
An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio. Int. J. Mach. Learn. Cybern. 11(3): 675-714 (2020) - [j1]Raneem Qaddoura, Waref Al Manaseer, Mohammad A. M. Abushariah, Mohammad Aref Alshraideh:
Dental radiography segmentation using expectation-maximization clustering and grasshopper optimizer. Multim. Tools Appl. 79(29-30): 22027-22045 (2020) - [c2]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Pedro A. Castillo:
EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework in Python. EvoApplications 2020: 20-36 - [c1]Raneem Qaddoura, Hossam Faris, Ibrahim Aljarah, Juan Julián Merelo Guervós, Pedro A. Castillo:
Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm. IJCCI 2020: 430-438
Coauthor Index
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