Ara
Toplam kayıt 21, listelenen: 11-20
Daphnet Freezing Recognition with Gait Data by Using Machine Learning Algorithms
(2020)
The aim of this study was to test the success of the data set obtained by a wearable health assistant developed for the symptom of freezing (FOG) in gait of Parkinson's patients and to increase the success of the system. ...
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
(2021)
With the spread of wearable sensors, the solutions to the task of activity recognition by using the data obtained from the sensors have become widespread. Recognition of activities owing to wearable sensors such as ...
Freshness Classification of Horse Mackerels with E-Nose System Using Hybrid Binary Decision Tree Structure
(2020)
The aim of this study is to test the freshness of horse mackerels by using a low cost electronic nose system composed of eight different metal oxide sensors. The process of freshness evaluation covers a seals of seven ...
Applications of Deep Learning Techniques to Wood Anomaly Detection
(2022)
Wood products and structures have an important place in today's industry. They are widely used in many fields. However, there are various difficulties in production systems where wood raw material is under many processes. ...
Classification of Canine Maturity and Bone Fracture Time Based on X-Ray Images of Long Bones
(2021)
Veterinarians use X-rays for almost all examinations of clinical fractures to determine the appropriate treatment. Before treatment, vets need to know the date of the injury, type of the broken bone, and age of the dog. ...
Comparative Study for Tuberculosis Detection by Using Deep Learning
(2021)
Tuberculosis (TB) is an infectious disease which becomes a significant health problem worldwide. Many people have been affected by this disease owing to deficiency of treatment and late or inaccuracy of diagnosis. Therefore, ...
Automated Tuberculosis Detection Using Pre-Trained CNN and SVM
(2021)
Tuberculosis (TB) is a dreadfully contagious and life-threatening disease if left untreated. Therefore, early and accurate diagnosis is critical for treatment. Today, invasive, expensive, or time-consuming tests are performed ...
Obesity Level Estimation based on Machine Learning Methods and Artificial Neural Networks
(2021)
Obesity is a growing societal and public health problem starting from 1980 that needs more attention. For this reason, new studies are emerging day by day, including those looking for obesity in children, especially the ...
A real-time approach to recognition of Turkish sign language by using convolutional neural networks
(2021)
Sign language is a form of visual communication used by people with hearing problems to express themselves. The main purpose of this study is to make life easier for these people. In this study, a data set was created using ...
Estimation of Concentration Values of Different Gases Based on Long Short-Term Memory by Using Electronic Nose
(2021)
An electronic nose (e-nose) is commonly used in different areas. In the e-nose studies, one of the most important subjects is the estimation of the different concentration values of different gases. An accurate estimation ...