Sessions
09:00 TR–10:30 TR
11:00 PK–12:30 PK
Opening Ceremony
09:00 TR–10:30 TR
10:30 TR–11:30 TR
12:30 PK–13:30 PK
Break / Refreshments
11:30 TR–12:45 TR
13:30 PK–14:45 PK
Session 1
Track: Artificial Intelligence & Enabling Technologies
12:45 TR–13:30 TR
14:45 PK–15:30 PK
Break / Refreshments
13:30 TR–14:45 TR
15:30 PK–16:45 PK
Session 2
Track: Machine Learning & Deep Learning
09:00 TR–10:15 TR
11:00 PK–12:15 PK
Session 3
Track: Machine Learning & Deep Learning
10:15 TR–10:30 TR
12:15 PK–12:30 PK
Break / Refreshments
10:30 TR–11:35 TR
12:30 PK–13:35 PK
Session 4
Track: Smart Cities and Technological Infrastructure
11:35 TR–12:30 TR
13:35 PK–14:30 PK
Break / Refreshments
12:30 TR–13:45 TR
14:30 PK–15:45 PK
Session 5
Track: Communication and Security
13:45 TR–14:00 TR
15:45 PK–16:00 PK
Break / Refreshments
14:00 TR–14:35 TR
16:00 PK–16:35 PK
Session 6
Track: Data Mining/ Big Data
Track: Digital Systems and Signal Processing
14:35 TR – 16:35 PK
Conference End
26 December 2024
Section 1: Artificial Intelligence & Enabling Technologies
Time
Activity
Remarks
11:30TR - 13:30PK
Session Introduction by Session Chair
Dr. Abdullahi Abdu Ibrahim, Altinbas University
11:35TR - 13:35PK
Keynote Talk
11:55TR - 13:55PK
Paper 1: Unveiling Drug-to-Drug Interactions: A Deep Learning Approach for Enhanced Predictions
Qadeer Hashir, Bahria University
12:05TR - 14:05PK
Paper 2: The detection of lung diseases using Artificial Intelligence (AI) techniques
Ali Okatan, Istanbul Aydin Üniversity
12:15TR - 14:15PK
Paper 3: Incorporating Structured Prompt Engineering for Enhanced Code Generation in Healthcare Domain
Talha Mahm, Shifa Tamir-e-Milat University
12:25TR - 14:25PK
Paper 4: Framing of Chinese AI Innovations: Perception of US Policy-Makers through Discourse Analysis Approach
Janeeta Fazal, National Defense University
12:35TR - 14:35PK
Paper 5: Enhancing Facial Recognition in Low-Resource Settings: A Tensor Train Decomposition Approach to Mitigate Racial Bias
Gayathri Sooraj, University of Sussex
12:45TR - 14:45PK
Paper 6: Aspect-Sentiment Triplet Extraction in Urdu: Developing a Novel Model for Enhanced Sentiment Analysis
Kamran Aziz, Wuhan University
Section 2: Machine Learning and Deep Learning
Time
Activity
Remarks
13:30TR - 15:30PK
Session Introduction by Session Chair
Dr. Oğuz ATA, Altinabas University
13:35TR - 15:35PK
Keynote Talk
13:55TR - 15:55PK
Paper 7: TUBERCULOSIS DIAGNOSIS USING DEEP LEARNING
Talha Khan, Bahria University
14:05TR - 16:05PK
Paper 8: Transforming Roman Urdu: Standardization and Predictive Modeling
Nida Hafeez, Instituto Politecnico Nacional
14:15TR - 16:15PK
Paper 9: SUGGESTIVE STRATEGIES FOR MITIGATING ADVERSE EFFECTS IN DRUG-DRUG INTERACTION
Madiha Asif, Bahria University
14:25TR - 16:25PK
Paper 10: Modeling and Forecasting Yield Curves: A Comparative Analysis of Parametric vs. Machine Learning Techniques
Cemal Ozturk, Pamukkale University
11:30TR - 13:30PK
Paper 11: Hybrid Quantum Machine Learning for Cancer Time Estimation
Muhammad Hussain, Bahria University
11:30TR - 13:30PK
Paper 12: Detection of Fake Satellite Images Using Pre-Trained CNN Models
Ismail Avcibas, OSTIM Technical University