Amel Ksibi

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 13

Top Topics

Major Depressive Disorder

Machine Learning

Top Venues

Diagnostics (Basel, Switzerland)

Sensors (Basel, Switzerland)

Healthcare (Basel, Switzerland)

Computational intelligence and neuroscience

This page only lists publications with an associated author ORCID identifier.

Publications

Amandeep Kaur, Saurabh Kumar, Deepali Gupta, Yasir Hamid, Monia Hamdi, Amel Ksibi, Hela Elmannai, Shilpa Saini
Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm. Sensors (Basel, Switzerland) 23 (13) (2023)
Amel Ksibi, Mohammed Zakariah, Leila Jamel Menzli, Oumaima Saidani, Latifah Almuqren, Rosy Awny Mohamed Hanafieh
Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques. Diagnostics (Basel, Switzerland) 13 (10) (2023)
B M R Manasa, Venugopal Pakala, Ravikumar Cv, Manel Ayadi, Monia Hamdi, Amel Ksibi
A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm. Sensors (Basel, Switzerland) 23 (22) (2023)
Amal Al-Rasheed, Amel Ksibi, Manel Ayadi, Abdullah I A Alzahrani, Mohammed Zakariah, Nada Ali Hakami
An Ensemble of Transfer Learning Models for the Prediction of Skin Cancers with Conditional Generative Adversarial Networks. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Zain Ali, Muhammad Faisal Hayat, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A Hameed, Suhuai Luo, Shakila Basheer, Manel Ayadi, Amel Ksibi
A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Zain Ali, Muhammad Faisal Hayat, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A Hameed, Suhuai Luo, Shakila Basheer, Manel Ayadi, Amel Ksibi
A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Zain Ali, Muhammad Faisal Hayat, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A Hameed, Suhuai Luo, Shakila Basheer, Manel Ayadi, Amel Ksibi
A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Manel Ayadi, Amel Ksibi, Amal Al-Rasheed, Ben Othman Soufiene
COVID-AleXception: A Deep Learning Model Based on a Deep Feature Concatenation Approach for the Detection of COVID-19 from Chest X-ray Images. Healthcare (Basel, Switzerland) 10 (10) (2022)
Amal Al-Rasheed, Amel Ksibi, Manel Ayadi, Abdullah I A Alzahrani, Mohammed Zakariah, Nada Ali Hakami
An Ensemble of Transfer Learning Models for the Prediction of Skin Cancers with Conditional Generative Adversarial Networks. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Zain Ali, Muhammad Faisal Hayat, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A Hameed, Suhuai Luo, Shakila Basheer, Manel Ayadi, Amel Ksibi
A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Amel Ksibi, Mohammed Zakariah, Manel Ayadi, Hela Elmannai, Prashant Kumar Shukla, Halifa Awal, Monia Hamdi
Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks. Computational intelligence and neuroscience 2022 (2022)
Amal Al-Rasheed, Amel Ksibi, Manel Ayadi, Abdullah I A Alzahrani, Mohammed Zakariah, Nada Ali Hakami
An Ensemble of Transfer Learning Models for the Prediction of Skin Cancers with Conditional Generative Adversarial Networks. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Zain Ali, Muhammad Faisal Hayat, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A Hameed, Suhuai Luo, Shakila Basheer, Manel Ayadi, Amel Ksibi
A Proposed Framework for Early Prediction of Schistosomiasis. Diagnostics (Basel, Switzerland) 12 (12) (2022)