activity
20232025
most citedNext-gen traffic surveillance: AI-assisted mobile traffic violation detection system

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2025

Engineering NV Centers via Hydrogen-Driven Defect Chemistry in CVD Diamonds for Quantum Applications: NVHx Dissociations into NV, Origin of 468nm Center, and Cause of Brown Coloration

Mubashir Mansoor, Kamil Czelej, Sally Eaton-Magaña +23

Achieving high NV center conversion efficiency remains a key challenge in advancing diamond-based quantum technologies. The generally accepted mechanism for NV formation is that ir…

cs.LG2024

Hearing Your Blood Sugar: Non-Invasive Glucose Measurement Through Simple Vocal Signals, Transforming any Speech into a Sensor with Machine Learning

Nihat Ahmadli, Mehmet Ali Sarsil, Onur Ergen

Effective diabetes management relies heavily on the continuous monitoring of blood glucose levels, traditionally achieved through invasive and uncomfortable methods. While various…

cs.LG2024★ 1 cited

Voice-Driven Mortality Prediction in Hospitalized Heart Failure Patients: A Machine Learning Approach Enhanced with Diagnostic Biomarkers

Nihat Ahmadli, Mehmet Ali Sarsil, Berk Mizrak +6

Addressing heart failure (HF) as a prevalent global health concern poses difficulties in implementing innovative approaches for enhanced patient care. Predicting mortality rates in…

cond-mat.mtrl-sci2023

PyNanospacing: TEM image processing tool for strain analysis and visualization

Mehmet Ali Sarsil, Mubashir Mansoor, Mert Saracoglu +3

The diverse spectrum of material characteristics including band gap, mechanical moduli, color, phonon and electronic density of states, along with catalytic and surface properties…

cs.CV2023★ 3 cited

Next-gen traffic surveillance: AI-assisted mobile traffic violation detection system

Dila Dede, Mehmet Ali Sarsıl, Ata Shaker +2

Road traffic accidents pose a significant global public health concern, leading to injuries, fatalities, and vehicle damage. Approximately 1,3 million people lose their lives daily…