3 results listed
Speckle noise, inherent in synthetic aperture radar (SAR) images, degrades the performance of the various SAR image analysis tasks. Thus, speckle noise reduction is a critical preprocessing step for smoothing homogeneous regions while preserving details. Therefore, in a recent study, SDD-QL method was proposed which is a variational approach where
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Fatih Nar
Ferhat Atasoy
Glioma is one of the most common and aggressive
types of brain tumors. This study aims to predict the glioma type
and its evolutionary process using the YOLOv8 deep learning
model based on segmented MR images. The segmented MR images
obtained from the BraTS dataset were processed into 2D slices
using a custom algorithm. The model was trained using transfer
learning, and the Adam optimizer was employed for optimization.
The model's performance was evaluated using YOLOv8's
standard metrics, including mAP, IoU, Precision, and Recall. The
results demonstrate that the YOLOv8 model trained on 2D data
derived from segmented images achieved 98.5% accuracy, 98.5%
F1 score, and 88% sensitivity, effectively classifying glioma types
and reliably predicting the evolutionary process.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Rashid Hamidov
Ferhat Atasoy
A smart home is one that serves automatic house
management and remote control system to its homeowner. It is
the integration of technologies applied to homes, offices and
small buildings to provide security, comfort, communication and
energy saving with less human interaction. Home technology is
the adaptation of control systems used in many fields of industry
to daily life, while home automation is the application of these
technologies to individual needs and desires. One of the most
important features of smart house is that it can be remotely
controlled and monitored when necessary. Thanks to this system
that can be controlled via Raspberry Pi-based web, users will be
able to access the system from smartphone, laptop, tablet,
desktop computer. In this low-cost system, it is aimed to use
technology easily in daily life. Additionally, intelligent home
technology can be carried out more easily and more effectively
by means of building information modeling technology. Room
temperature control system module, lighting system based on
daylight module, a security camera system module controlled by
PIR sensor, parking sensor module via ultrasonic HC-SR04
sensor are realized in this project.
1.st International Conference Energy Systems Engineering
ıcese'17
Nesrin Aydın Atasoy
Mehmet Tankül
Ferhat Atasoy