Programme
Opening Remarks
- 10 – 10:15 AM (IST)
Paper Presentations Session 1
TRACK: Deep Learning Applications
Paper 1: 10:30 – 11:00
Deep learning based automatic classification of cloud images using
segmentation network model
Paper 2: 11:00 – 11:30
AI for Health: A Study of Applications of Semantic Segmentation and
Fine Object Recognition in Lung Cancer Detection and Its
Implications for Public Healthcare
Paper 3: 11:30 – 12:00
Internet of Things-Enabled System to Monitor Leaf Structure and
Increase Crop Yield
Paper 4: 12:30 – 13:00
A Systematic Review of Track Watch: Drone Surveillance for Safer
Railways
Lunch Break
- 13:05 – 14:15
Paper Presentations Sessions 2
TRACK: AI Impact
Paper 1: 14:15 – 14:45
A Survey of AI-Enhanced Augmented Reality in Phobia Treatment:
Innovations, Challenges, and Societal Impact
Paper 2: 14:45 – 15:15
Exploring Sustainability in Artificial Intelligence: Balancing Innovation and
Environmental Impact?
Paper 3: 15:15 – 15:45
The Productivity Paradox: Job crafting in the context of generative artificial
intelligence
Paper 4:15:45-16:15
The Role of Generative AI in Supporting Neurodiverse Individuals: Literature
Insights and Future Directions
Keynote Address
- 17:00 – 18:00
Paper Presentations Session 3
TRACK: Deep Learning Applications II
Paper 1: 11:00 – 11:30
A Comprehensive Approach to Adaptive Multi-Model Architecture for
Heterogeneous Data Sources
Paper 2: 11:30 – 12:00
Beyond Classification: Understanding why URLs Are Malicious with
transparent Convex Optimization and Interpretable XAI
Paper 3: 12:00 – 12:30
Forecasting Cyber Vulnerabilities: A Critical Analysis of ARIMA Models’
Efficacy and Efficiency
Paper 4: WATCHGUARD: REAL TIME WOMEN SAFETY DETECTION SYSTEM
Lunch Break
- 13:00 – 14:00
Paper Presentations Sessions 4
Paper 1: 14:00 – 14:30
Virtual Character-based Study of the Combined Effect of Turn-taking
Behavior and Speech Speed on Conversational Atmosphere
Paper 2: 14:30 – 15:00
Exploring the potential of voice interaction for gamified education in children
with ADHD
Keynote Address
- 17:00 – 18:00
