Firuz Kamalov

According to our database, Firuz Kamalov authored at least 44 papers between 2017 and 2024.

Collaborative distances:

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

2024

Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Case.

Febrian Kurniawan, Gandeva Bayu Satrya, Firuz Kamalov

CoRR, 2024

Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique.

Ziad El-Khatib, Firuz Kamalov, Sherif Moussa, Adel Ben Mnaouer, Mustapha C. E. Yagoub, Halim Yanikomeroglu

IEEE Access, 2024

2023

Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention.

Amril Nazir, Rohan Mitra, Hana Sulieman, Firuz Kamalov

Sensors, July, 2023

An Ensemble-Based Machine Learning Model for Emotion and Mental Health Detection.

Annapurna Jonnalagadda, Manan Rajvir, Shovan Singh, S. Chandramouliswaran, Joshua George, Firuz Kamalov

J. Inf. Knowl. Manag., April, 2023

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19.

Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Haythem El-Messiry, Ahmed Al-Gindy

Neurocomputing, April, 2023

XyGen: Synthetic data generator for feature selection.

Firuz Kamalov, Said Elnaffar, Hana Sulieman, Aswani Kumar Cherukuri

Softw. Impacts, March, 2023

A New Era of Artificial Intelligence in Education: A Multifaceted Revolution.

Firuz Kamalov, Ikhlaas Gurrib

CoRR, 2023

Global Pandemics Influence on Cyber Security and Cyber Crimes.

Somya Khatri, Aswani Kumar Cherukuri, Firuz Kamalov

CoRR, 2023

e-Inu: Simulating A Quadruped Robot With Emotional Sentience.

Abhiruph Chakravarty, Jatin Karthik Tripathy, S. Sibi Chakkaravarthy, Aswani Kumar Cherukuri, S. Anitha, Firuz Kamalov, Annapurna Jonnalagadda

CoRR, 2023

Synthetic Data for Feature Selection.

Firuz Kamalov, Hana Sulieman, Aswani Kumar Cherukuri

Proceedings of the Artificial Intelligence and Soft Computing, 2023

Leveraging computer algebra systems in calculus: a case study with SymPy.

Firuz Kamalov, David Santandreu, Ho Hon Leung, Jason Johnson, Ziad El-Khatib

Proceedings of the IEEE Global Engineering Education Conference, 2023

2022

Deep learning for Covid-19 forecasting: State-of-the-art review.

Firuz Kamalov, Khairan Rajab, Aswani Kumar Cherukuri, Ashraf Elnagar, Murodbek Safaraliev

Neurocomputing, 2022

Machine learning-based forecasting of significant daily returns in foreign exchange markets.

Firuz Kamalov, Ikhlaas Gurrib

Int. J. Bus. Intell. Data Min., 2022

Autism screening: an unsupervised machine learning approach.

Fadi A. Thabtah, Robinson Spencer, Neda Abdelhamid, Firuz Kamalov, Carl Wentzel, Yongsheng Ye, Thanu Dayara

Health Inf. Sci. Syst., 2022

Partial Resampling of Imbalanced Data.

Firuz Kamalov, Amir F. Atiya, Dina Elreedy

CoRR, 2022

A Comparative Study of Autoregressive and Neural Network Models: Forecasting the GARCH Process.

Firuz Kamalov, Ikhlaas Gurrib, Sherif Moussa, Amril Nazir

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

2021

Orthogonal variance decomposition based feature selection.

Firuz Kamalov

Expert Syst. Appl., 2021

Stock price forecast with deep learning.

Firuz Kamalov, Linda Smail, Ikhlaas Gurrib

CoRR, 2021

Machine learning applications for COVID-19: A state-of-the-art review.

Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain

CoRR, 2021

Finite Sample Based Mutual Information.

Khairan Rajab, Firuz Kamalov

IEEE Access, 2021

Neural Networks Architecture for COVID-19 Early Detection.

Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Osman El Labban

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Time series signal recovery methods: comparative study.

Firuz Kamalov, Hana Sulieman

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Orthogonal variance-based feature selection for intrusion detection systems.

Firuz Kamalov, Sherif Moussa, Ziad El-Khatib, Adel Ben Mnaouer

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Kernel density estimation-based sampling for neural network classification.

Firuz Kamalov, Ashraf Elnagar

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

RF LNA with Active Inductor Linearizer for Wireless Communication.

Ziad El-Khatib, Firuz Kamalov, Sherif Moussa, Ahmed Al-Gindy

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods.

Rita Zgheib, Firuz Kamalov, Ghazar Chahbandarian, Osman El Labban

Proceedings of the Intelligent Computing Theories and Application, 2021

Ensemble Learning with Resampling for Imbalanced Data.

Firuz Kamalov, Ashraf Elnagar, Ho Hon Leung

Proceedings of the Intelligent Computing Theories and Application, 2021

Comparative analysis of activation functions in neural networks.

Firuz Kamalov, Amril Nazir, Murodbek Safaraliev, Aswani Kumar Cherukuri, Rita Zgheib

Proceedings of the 28th IEEE International Conference on Electronics, 2021

Evaluation of Arabic-Based Contextualized Word Embedding Models.

Sane Yagi, Youssef Mansour, Firuz Kamalov, Ashraf Elnagar

Proceedings of the International Conference on Asian Language Processing, 2021

Bitcoin Price Forecasting: Linear Discriminant Analysis with Sentiment Evaluation.

Ikhlaas Gurrib, Firuz Kamalov, Linda Smail

Proceedings of the ArabWIC 2021: The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, 2021

2020

Forecasting significant stock price changes using neural networks.

Firuz Kamalov

Neural Comput. Appl., 2020

Gamma distribution-based sampling for imbalanced data.

Firuz Kamalov, Dmitry Denisov

Knowl. Based Syst., 2020

Outlier Detection in High Dimensional Data.

Firuz Kamalov, Ho Hon Leung

J. Inf. Knowl. Manag., 2020

Least Loss: A simplified filter method for feature selection.

Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri

Inf. Sci., 2020

Data imbalance in classification: Experimental evaluation.

Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves

Inf. Sci., 2020

Kernel density estimation based sampling for imbalanced class distribution.

Firuz Kamalov

Inf. Sci., 2020

Generalized feature similarity measure.

Firuz Kamalov

Ann. Math. Artif. Intell., 2020

Forecasting with Deep Learning: S&P 500 index.

Firuz Kamalov, Linda Smail, Ikhlaas Gurrib

Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Feature selection for intrusion detection systems.

Firuz Kamalov, Sherif Moussa, Rita Zgheib, Omar Mashaal

Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Deep learning regularization in imbalanced data.

Firuz Kamalov, Ho Hon Leung

Proceedings of the International Conference on Communications, 2020

2019

KDE sampling for imbalanced class distribution.

Firuz Kamalov

CoRR, 2019

2018

A new computational intelligence approach to detect autistic features for autism screening.

Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab

Int. J. Medical Informatics, 2018

Sensitivity Analysis for Feature Selection.

Firuz Kamalov

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning.

Fadi A. Thabtah, Firuz Kamalov

J. Inf. Knowl. Manag., 2017