Toplam kayıt 6, listelenen: 1-6
Edge detection method driven by knowledge-based neighborhood rules
(The Taiwan Association of Engineering and Technology Innovation (TAETI), 2023)
Edge detection is a fundamental process, and therefore there are still demands to improve its efficiency and computational complexity. This study proposes a knowledge-based edge detection method to meet ...
Digital health navigator: Preliminary work on a personal health assistant software for all health literacy level users in Turkey
(İzmir Ekonomi Üniversitesi, 2023)
Today's digital health terminology is actually advanced med-ical technologies that include computer-assisted therapy, smartphone apps, and wearable technologies. These technologies offer significant po-tential for improving ...
Pedagogical classification of educational robots in pre-school teaching
This study aims to create a rubric based on the pedagogical properties of educational robots for pre-school students and determine the compliance level with educational robot sets. In this sense, the study is considered a ...
Nuclei segmentation in colon histology images by using the deep CNNs: A U-Net based multi-class segmentation analysis
(Institute of Electrical and Electronics Engineers Inc., 2022)
As is known, pathologists visually examine the tissue distributions by using microscopes traditionally. The rise in digital image processing and machine learning also allows high-performance computerized analysis of histology ...
A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach
As it is widely known, several ground services are provided by the airports for the domestic and internationalflights of the commercial passenger aircraft. Some of these services are conducted during the period calledas ...
Guiding genetic search algorithm with ANN based fitness function: a case study using structured HOG descriptors for license plate detection
In literature, various metaheuristic approaches such as Genetic Search Algorithm (GSA), has been adopted for finding the sub-optimal solution to a wide range of optimization problems. The main challenges in adopting GSA ...