Sitara Afzal

According to our database, Sitara Afzal authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

Deep-learning-assisted business intelligence model for cryptocurrency forecasting using social media sentiment.

Muhammad Yasir, Muhammad Attique, Khalid Latif, Ghulam Mujtaba Chaudhary, Sitara Afzal, Kamran Ahmed, Farhan Shahzad

J. Enterp. Inf. Manag., 2023

A Comprehensive Survey on Affective Computing; Challenges, Trends, Applications, and Future Directions.

Sitara Afzal, Haseeb Ali Khan, Imran Ullah Khan, Md. Jalil Piran, Jong-Weon Lee

CoRR, 2023

See-Through-Vehicle for Overtaking Activity.

Sitara Afzal, Imran Ullah Khan, Jong-Weon Lee

Proceedings of the IEEE International Conference on Consumer Electronics, 2023

2022

Perceptual Quality Assessment of Panoramic Stitched Contents for Immersive Applications: A Prospective Survey.

Hayat Ullah, Sitara Afzal, Imran Ullah Khan

Virtual Real. Intell. Hardw., 2022

Human Activity Recognition via Hybrid Deep Learning Based Model.

Imran Ullah Khan, Sitara Afzal, Jong-Weon Lee

Sensors, 2022

2021

A deep feature-based real-time system for Alzheimer disease stage detection.

Hina Nawaz, Muazzam Maqsood, Sitara Afzal, Farhan Aadil, Irfan Mehmood, Seungmin Rho

Multim. Tools Appl., 2021

Alzheimer Disease Detection Techniques and Methods: A Review.

Sitara Afzal, Muazzam Maqsood, Umair Khan, Irfan Mehmood, Hina Nawaz, Farhan Aadil, Oh-Young Song, Yunyoung Nam

Int. J. Interact. Multim. Artif. Intell., 2021

2020

A local and global event sentiment based efficient stock exchange forecasting using deep learning.

Haider Maqsood, Irfan Mehmood, Muazzam Maqsood, Muhammad Yasir, Sitara Afzal, Farhan Aadil, Mahmoud Mohamed Selim, Khan Muhammad

Int. J. Inf. Manag., 2020

Region-of-Interest Based Transfer Learning Assisted Framework for Skin Cancer Detection.

Rehan Ashraf, Sitara Afzal, Attiq Ur Rehman, Sarah Gul, Junaid Baber, Maheen Bakhtyar, Irfan Mehmood, Oh-Young Song, Muazzam Maqsood

IEEE Access, 2020

2019

A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer's Stage Detection.

Sitara Afzal, Muazzam Maqsood, Faria Nazir, Umair Khan, Farhan Aadil, Khalid M. Awan, Irfan Mehmood, Oh-Young Song

IEEE Access, 2019

A Segmentation-Less Efficient Alzheimer Detection Approach Using Hybrid Image Features.

Sitara Afzal, Mubashir Javed, Muazzam Maqsood, Farhan Aadil, Seungmin Rho, Irfan Mehmood

Proceedings of the Handbook of Multimedia Information Security: Techniques and Applications., 2019