44 citations · 69 across the 6 of their papers we have counts for
7 papers
Glycemic Variability Before And After Hypoglycemia Across Different Timeframes In Type 1 Diabetes With And Without Automated Insulin Delivery
Ahtsham Zafar, Abiodun Solanke, Dana M. Lewis +1
Managing Type 1 diabetes (T1D) aims to optimize glucose levels within the target range while minimizing hyperglycemia and hypoglycemia. Exercise presents additional challenges due…
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
Venkatesh Balavadhani Parthasarathy, Ahtsham Zafar, Aafaq Khan +1
This report examines the fine-tuning of Large Language Models (LLMs), integrating theoretical insights with practical applications. It outlines the historical evolution of LLMs fro…
Impact of Hypoglycemia on Glucose Variability Over Time for Individuals with Open Source Automated Insulin Delivery Systems
Arsalan Shahid, Dana M. Lewis
Background: This study investigates glucose conditions preceding and following various hypoglycemia levels in individuals with type 1 diabetes using open-source automated insulin d…
Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
Ahtsham Zafar, Venkatesh Balavadhani Parthasarathy, Chan Le Van +3
Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors. Nevertheless, the balance between linguistic nuance and factual accuracy h…
Analytical models of Energy and Throughput for Caches in MPSoCs
Arsalan Shahid, Muhammad Tayyab, Muhammad Yasir Qadri +2
General trends in computer architecture are shifting more towards parallelism. Multicore architectures have proven to be a major step in processor evolution. With the advancement i…
Bi-objective Optimisation of Data-parallel Applications on Heterogeneous Platforms for Performance and Energy via Workload Distribution
Hamidreza Khaleghzadeh, Muhammad Fahad, Arsalan Shahid +2
Performance and energy are the two most important objectives for optimisation on modern parallel platforms. Latest research demonstrated the importance of workload distribution as…
Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law
Arsalan Shahid, Muhammad Fahad, Ravi Reddy Manumachu +1
Energy is now a first-class design constraint along with performance in all computing settings. Energy predictive modelling based on performance monitoring counts (PMCs) is the lea…