Abid Ishaq

According to our database, Abid Ishaq authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Suicide Ideation Detection Using Social Media Data and Ensemble Machine Learning Model.

Erol Kina, Jin-Ghoo Choi, Abid Ishaq, Rahman Shafique, Mónica Gracia Villar, Eduardo Silva Alvarado, Isabel de la Torre Díez, Imran Ashraf

Int. J. Comput. Intell. Syst., December, 2026

AuraVox: mmWave-Augmented Audio Pipeline for Nonintrusive Emotion Sensing in Complex IoT Environments.

Naveed Imran, Jian Zhang, Chihhsiong Shih, Sana Hameed, Abid Ishaq, Khursheed Aurangzeb

IEEE Internet Things J., 2026

2025

Advancing ovarian cancer outcomes with CTGAN-enhanced hybrid machine learning approach.

Rahman Shafique, Ahmad Sami Al-Shamayleh, Sarath Kumar Posa, Abid Ishaq, Furqan Rustam, Gyu Sang Choi

Knowl. Based Syst., 2025

2024

Contradiction in text review and apps rating: prediction using textual features and transfer learning.

Turki Aljrees, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Abid Ishaq, Shtwai Alsubai, Alá Abdulmajid Eshmawi, Imran Ashraf

PeerJ Comput. Sci., 2024

2023

Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data.

Furqan Rustam, Abid Ishaq, Muhammad Shadab Alam Hashmi, Hafeez Ur Rehman Siddiqui, Luis Alonso Dzul López, Juan Castanedo Galán, Imran Ashraf

Sensors, August, 2023

An Intelligent Framework for Cyber-Physical Satellite System and IoT-Aided Aerial Vehicle Security Threat Detection.

Nazik Alturki, Turki Aljrees, Muhammad Umer, Abid Ishaq, Shtwai Alsubai, Oumaima Saidani, Sirojiddin Djuraev, Imran Ashraf

Sensors, August, 2023

Image Watermarking Using Least Significant Bit and Canny Edge Detection.

Zaid Bin Faheem, Abid Ishaq, Furqan Rustam, Isabel de la Torre Díez, Daniel Gavilanes, Manuel Masias Vergara, Imran Ashraf

Sensors, February, 2023

Chi-Square and PCA Based Feature Selection for Diabetes Detection with Ensemble Classifier.

Vaibhav Rupapara, Furqan Rustam, Abid Ishaq, Ernesto Lee, Imran Ashraf

Intell. Autom. Soft Comput., 2023

Drug Usage Safety from Drug Reviews with Hybrid Machine Learning Approach.

Ernesto Lee, Furqan Rustam, Hina Fatima Shahzad, Patrick Bernard Washington, Abid Ishaq, Imran Ashraf

Comput. Syst. Sci. Eng., 2023

Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model.

Bhargav Mallampati, Abid Ishaq, Furqan Rustam, Venu Kuthala, Sultan Alfarhood, Imran Ashraf

IEEE Access, 2023

2021

Extensive hotel reviews classification using long short term memory.

Abid Ishaq, Muhammad Umer, Muhammad Faheem Mushtaq, Carlo Maria Medaglia, Hafeez Ur Rehman Siddiqui, Arif Mehmood, Gyu Sang Choi

J. Ambient Intell. Humaniz. Comput., 2021

RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model.

Mubariz Manzoor, Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Hamza Ahmad Madni, Carmen Bisogni

IEEE Access, 2021

Improving the Prediction of Heart Failure Patients' Survival Using SMOTE and Effective Data Mining Techniques.

Abid Ishaq, Saima Sadiq, Muhammad Umer, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi

IEEE Access, 2021

2020

Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction.

Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Najia Saher, Hamza Ahmad Madni

CoRR, 2020