Ali Zeeshan Ijaz

According to our database, Ali Zeeshan Ijaz authored at least 9 papers between 2010 and 2024.

Collaborative distances:

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

2024

A Novel NLP-based Stock Market Price Prediction and Risk Analysis Framework.

Zain Ul Abideen, Raja Hashim Ali, Ali Zeeshan Ijaz, Talha Ali Khan

J. Comput. Sci. Technol., 2024

2023

Leveraging AI and NLP in Chatbot Development: An Experimental Study.

Abdul Wahab Paracha, Usama Arshad, Raja Hashim Ali, Zain Ul Abideen, Muhammad Huzaifa Shah, Talha Ali Khan, Ali Zeeshan Ijaz, Nisar Ali, Abu Bakar Siddique

Proceedings of the International Conference on Frontiers of Information Technology, 2023

Performance Evaluation of Popular Deep Neural Networks for Neural Machine Translation.

Muhammad Naeem, Abu Bakar Siddique, Raja Hashim Ali, Usama Arshad, Zain Ul Abideen, Talha Ali Khan, Muhammad Huzaifa Shah, Ali Zeeshan Ijaz, Nisar Ali

Proceedings of the International Conference on Frontiers of Information Technology, 2023

Exploiting Partial Observability and Optimized Simple State Representations in Deep Q-Learning.

Danyaal Mahmood, Usama Arshad, Raja Hashim Ali, Zain Ul Abideen, Muhammad Huzaifa Shah, Talha Ali Khan, Ali Zeeshan Ijaz, Nisar Ali, Abu Bakar Siddique

Proceedings of the International Conference on Frontiers of Information Technology, 2023

Mitigating Crop Losses: AI-enabled Disease Detection in Tomato Plants.

Hassan Ashfaq, Usama Arshad, Raja Hashim Ali, Zain Ul Abideen, Muhammad Huzaifa Shah, Talha Ali Khan, Ali Zeeshan Ijaz, Nisar Ali, Abu Bakar Siddique

Proceedings of the International Conference on Frontiers of Information Technology, 2023

Robust and Reliable Liveness Detection Models for Facial Recognition Systems.

Haris Anjum, Usama Arshad, Raja Hashim Ali, Zain Ul Abideen, Muhammad Huzaifa Shah, Talha Ali Khan, Ali Zeeshan Ijaz, Abu Bakar Siddique, Muhammad Imad

Proceedings of the International Conference on Frontiers of Information Technology, 2023

Scene Parsing Using Fully Convolutional Network for Semantic Segmentation.

Nisar Ali, Ali Zeeshan Ijaz, Raja Hashim Ali, Zain Ul Abideen, Abdul Bais

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

American Sign Language Character Recognition using Convolutional Neural Networks.

Atesam Abdullah, Nisar Ali, Raja Hashim Ali, Zain Ul Abideen, Ali Zeeshan Ijaz, Abdul Bais

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023

2010

MKEM: a Multi-level Knowledge Emergence Model for mining undiscovered public knowledge.

Ali Zeeshan Ijaz, Min Song, Doheon Lee

BMC Bioinform., 2010