Muhammad Hasanain Chaudary

TL;DR: A multi-agent-based multi-layered hierarchical control system for residential load management under real-time pricing environment to reduce peak load demand, electricity cost, and user discomfort and validated on a set of loads to show the applicability and proficiency under a dynamic environment.

TL;DR: The findings of this research can help health officials and decision-makers alert the public about future outbreaks and take preventive measures to considerably reduce the mortality and morbidity associated with the disease.

TL;DR: A novel document annotation scheme for SRS is devised and nonfunctional requirements are extracted from these annotated artifacts using a novel tradeoff ratio method to make design decision more empirical and helpful for the selection of design patterns, especially secure design patterns.

TL;DR: This work proposes a novel lossy point cloud compression and decompression algorithm that optimizes storage space requirements by preserving geometric information of the scene by using a region growing segmentation algorithm.