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Toplam kayıt 9, listelenen: 1-9
COMPUTER MONITORING AND CONTROL WITH HAND MOVEMENTS
(IEEE, 2014)
The devices such as mouse, keyboard used for controlling of computer have various limitations. The users must make physical contact with the devices and have a restricted away because of connection with wire to control ...
Real Time Sending and Monitoring Electronic Health Records
(IEEE, 2017)
Innovations in the field of health increase with the developing technology nowadays. These technological advances in the health field have enabled us to meet with telemedicine applications. Telemedicine is the use of ...
Remote Patient Monitoring and Electronic Health Record System Based on Web Services
(IEEE, 2016)
Because of the increase in the number of people, medical problems increase and chronic diseases become more common. Medical data transfer between remote patients and health center can be provided by using information ...
R-peaks Detection with Convolutional Neural Network in Electrocardiogram Signal
(IEEE, 2018)
The performance of electrocardiogram applications is closely related to the succesful detection of R-peaks. Therefore, successful detection of R-peaks is of high importance. Electrocardiogram signals vary from person to ...
Virtual Mouse Control with Hand Gesture Information Extraction and Tracking
(IEEE, 2015)
Virtual mouse implemented with hand gesture tracking based on image is one of studies in human-computer interaction. In this study that human-computer interaction is implemented with virtual mouse is purposed. This study ...
Alert Results Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on 5 of 11 Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on
(IEEE, 2023)
Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ...
Anomaly Detection in Predicted Water Treatment Data using Hybrid CNN-LSTM Network Model
(IEEE, 2023)
Water treatment systems are among the industrial control systems where it is essential to detect anomalies accurately and efficiently due to the potential threat to public health. With advances in computer science, machine ...
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
(Institute of Electrical and Electronics Engineers Inc., 2023)
Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is ...
A Hybrid CNN-LSTM Framework for Unsupervised Anomaly Detection in Water Distribution Plant
(Institute of Electrical and Electronics Engineers Inc., 2023)
To reduce potential threats to public health and economic losses, water distribution systems, which are critical parts of industrial control systems, require accurate and effective anomaly detection. The successful ...