User profiles for Volkan Kilic

Volkan KILIC

- Verified email at surrey.ac.uk - Cited by 1773

Volkan Kılıç

- Verified email at eskisehir.edu.tr - Cited by 370

Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat

E Yüzer, V Doğan, V Kılıç, M Şen - Sensors and Actuators B: Chemical, 2022 - Elsevier
Here, a microfluidic paper-based analytical device (μPAD) was first combined with a deep
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …

Machine learning-based colorimetric determination of glucose in artificial saliva with different reagents using a smartphone coupled μPAD

ÖB Mercan, V Kılıç, M Şen - Sensors and Actuators B: Chemical, 2021 - Elsevier
Potassium iodide (KI) and 3,3 ′ ,5,5 ′ -tetramethylbenzidine (TMB) are frequently used as
chromogenic agents in μ PADs for glucose determination. Chitosan (Chi) has peroxidase …

Smartphone-based colorimetric detection via machine learning

AY Mutlu, V Kılıç, GK Özdemir, A Bayram, N Horzum… - Analyst, 2017 - pubs.rsc.org
We report the application of machine learning to smartphone-based colorimetric detection of
pH values. The strip images were used as the training set for Least Squares-Support Vector …

Smartphone-based colorimetric detection systems for glucose monitoring in the diagnosis and management of diabetes

Ö Kap, V Kılıç, JG Hardy, N Horzum - Analyst, 2021 - pubs.rsc.org
Diabetes is a group of metabolic conditions resulting in high blood sugar levels over
prolonged periods that affects hundreds of millions of patients worldwide. Measuring glucose …

Quantifying colorimetric tests using a smartphone app based on machine learning classifiers

ME Solmaz, AY Mutlu, G Alankus, V Kılıç… - Sensors and Actuators B …, 2018 - Elsevier
A smartphone application based on machine learning classifier algorithms was developed
for quantifying peroxide content on colorimetric test strips. The strip images were taken from …

Colorimetric food spoilage monitoring with carbon dot and UV light reinforced fish gelatin films using a smartphone application

B Kilic, V Dogan, V Kilic, LN Kahyaoglu - International Journal of Biological …, 2022 - Elsevier
The objective of this study was to develop novel colorimetric films for food freshness
monitoring. UV light irradiation (365 nm) and carbon dots (CDs) were tested as the potential …

Sertraline-induced reproductive toxicity in male rats: evaluation of possible underlying mechanisms

O Atli, M Baysal, G Aydogan-Kilic, V Kilic… - Asian journal of …, 2017 - journals.lww.com
This study was conducted to clarify the toxic effects of sertraline (SRT) on the reproductive
system of male rats and to elucidate the underlying mechanisms. Rats were treated orally with …

A new image captioning approach for visually impaired people

B Makav, V Kılıç - 2019 11th international conference on …, 2019 - ieeexplore.ieee.org
Automatic caption generation in natural language to describe the visual content of an image
has attracted an increasing amount of attention in the last decade due to its potential …

Audio assisted robust visual tracking with adaptive particle filtering

V Kılıç, M Barnard, W Wang… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The problem of tracking multiple moving speakers in indoor environments has received much
attention. Earlier techniques were based purely on a single modality, eg, vision. Recently, …

On-site colorimetric food spoilage monitoring with smartphone embedded machine learning

V Doğan, M Evliya, LN Kahyaoglu, V Kılıç - Talanta, 2024 - Elsevier
Real-time and on-site food spoilage monitoring is still a challenging issue to prevent food
poisoning. At the onset of food spoilage, microbial and enzymatic activities lead to the …