14 citations · 23 across the 7 of their papers we have counts for
7 papers
Magnetically Levitated Microrobotic Mixer
Ecenur Can Yılmaz, Abdurrahim Yılmaz, Ali Anıl Demirçalı +3
Microfluidic systems, when combined with microrobots, offer enhanced precision in chemical synthesis by precisely controlling reaction conditions. These systems, when integrated wi…
Study on the Concept and Development of a Mobile Incubator
Fehmi Can Ay, Nesim Bilici, Rahmetullah Varol +4
Creating the best possible conditions is essential for proper cell growth. Incubators, a type of biotechnological instrument, are used to simulate this condition and maintain the c…
Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset
Abdurrahim Yilmaz, Mucahit Kalebasi, Yegor Samoylenko +2
Skin cancer is one of the deadly types of cancer and is common in the world. Recently, there has been a huge jump in the rate of people getting skin cancer. For this reason, the nu…
Mechatronic Investigation of Wound Healing Process by Using Micro Robot
Abdurrahim Yilmaz, Ali Anil Demircali, Serra Ozkasap +3
The purpose of this study is to find ideal forces for reducing cell stress in wound healing process by micro robots. Because of this aim, we made two simulations on COMSOL Multiphy…
The Effect of Pore Structure in Flapping Wings on Flight Performance
Abdurrahim Yilmaz, Asli Tekeci, Meryem Ece Ozyetkin +3
This study investigates the effects of porosity on flying creatures such as dragonflies, moths, hummingbirds, etc. wing and shows that pores can affect wing performance. These stud…
Deep Convolutional Neural Networks for Onychomycosis Detection
Abdurrahim Yilmaz, Fatih Goktay, Rahmetullah Varol +2
The diagnosis of superficial fungal infections in dermatology is still mostly based on manual direct microscopic examination with Potassium Hydroxide (KOH) solution. However, this…
Comparison of Deep Learning and Traditional Machine Learning Techniques for Classification of Pap Smear Images
Abdurrahim Yilmaz, Ali Anil Demircali, Sena Kocaman +1
A comprehensive study on machine and deep learning techniques for classification of normal and abnormal cervical cells by using pap smear images from Herlev dataset results are pre…