Yazar "0000-0003-3467-9923" için listeleme
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Automated Fracture Detection in the Ulna and Radius Using Deep Learning on Upper Extremity Radiographs
Erdas, Cagatay Berke (2023)Objectives: This study aimed to detect single or multiple fractures in the ulna or radius using deep learning techniques fed on upper-extremity radiographs. Materials and methods: The data set used in the retrospective ... -
A Deep LSTM Approach for Activity Recognition
Guney, Selda; Erdas, Cagatay Berke (2019)Since 1990s, activity recognition effectual field in machine learning literature. Most of studies that relevant activity recognition, use feature extraction method to achieve higher classification performance. Moreover, ... -
Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
Erdas, Cagatay Berke; Guney, Selda (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 ... -
Integrating features for accelerometer-based activity recognition
Erdas, C.Berke; Atasoy, Isil; Acici, Koray; Ogul, Hasan (2016)Activity recognition is the problem of predicting the current action of a person through the motion sensors worn on the body. The problem is usually approached as a supervised classification task where a discriminative ... -
A Random Forest Method to Detect Parkinson's Disease via Gait Analysis
Acici, Koray; Erdas, Cagatay Berke; Asuroglu, Tunc; Toprak, Munire Kilinc; Erdem, Hamit; Ogul, Hasan (2017)Remote care and telemonitoring have become essential component of current geriatric medicine. Intelligent use of wireless sensors is a major issue in relevant computational studies to realize these concepts in practice. ... -
Texture of Activities: Exploiting Local Binary Patterns for Accelerometer Data Analysis
Asuroglu, Tunc; Acici, Koray; Erdas, Cagatay Berke; Ogul, Hasan (2016)Recognition of activities through wearable sensors such as accelerometers is a recent challenge in pervasive and ubiquitous computing. The problem is often considered as a classification task where a set of descriptive ...