38 citations · 59 across the 10 of their papers we have counts for
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…
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…
Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
Muhammad Umair Danish, Katarina Grolinger
Consumer energy forecasting is essential for managing energy consumption and planning, directly influencing operational efficiency, cost reduction, personalized energy management,…
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers
Muhammad Umair Danish, Katarina Grolinger
Load forecasting plays a crucial role in energy management, directly impacting grid stability, operational efficiency, cost reduction, and environmental sustainability. Traditional…
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…
A Comparative Study of Image Denoising Algorithms
Muhammad Umair Danish
With the recent advancements in the field of information industry, critical data in the form of digital images is best understood by the human brain. Therefore, digital images play…
Global-Local Image Perceptual Score (GLIPS): Evaluating Photorealistic Quality of AI-Generated Images
Memoona Aziz, Umair Rehman, Muhammad Umair Danish +1
This paper introduces the Global-Local Image Perceptual Score (GLIPS), an image metric designed to assess the photorealistic image quality of AI-generated images with a high degree…