10 papers
Physics-Guided Memory Network for Building Energy Modeling
Muhammad Umair Danish, Kashif Ali, Kamran Siddiqui +1
Accurate energy consumption forecasting is essential for efficient resource management and sustainability in the building sector. Deep learning models are highly successful but str…
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences
Muhammad Umair Danish, Mathumitha Sureshkumar, Tehara Fonseka +2
This research provides an in-depth evaluation of various machine learning models for energy forecasting, focusing on the unique challenges of seasonal variations in student residen…
Any-Class Presence Likelihood for Robust Multi-Label Classification with Abundant Negative Data
Dumindu Tissera, Omar Awadallah, Muhammad Umair Danish +2
Multi-label Classification (MLC) assigns an instance to one or more non-exclusive classes. A challenge arises when the dataset contains a large proportion of instances with no assi…
Seeing Through Risk: A Symbolic Approximation of Prospect Theory
Ali Arslan Yousaf, Umair Rehman, Muhammad Umair Danish
We propose a novel symbolic modeling framework for decision-making under risk that merges interpretability with the core insights of Prospect Theory. Our approach replaces opaque u…
Graph Attention Convolutional U-NET: A Semantic Segmentation Model for Identifying Flooded Areas
Muhammad Umair Danish, Madhushan Buwaneswaran, Tehara Fonseka +1
The increasing impact of human-induced climate change and unplanned urban constructions has increased flooding incidents in recent years. Accurate identification of flooded areas i…
Leveraging Order-Theoretic Tournament Graphs for Assessing Internal Consistency in Survey-Based Instruments Across Diverse Scenarios
Muhammad Umair Danish, Umair Rehman, Katarina Grolinger
This paper introduces Monotone Delta, an order-theoretic measure designed to enhance the reliability assessment of survey-based instruments in human-machine interactions. Tradition…