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Toplam kayıt 25, listelenen: 21-25
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 ...
Pedestrian Inertial Navigation with Multi-Head LSTM Including Attention
(Institute of Electrical and Electronics Engineers Inc., 2023)
Despite continuous advancements in algorithms and wearable inertial measurement unit (IMU) technology in the last two decades, inertial navigation systems (INS) cannot be used for long-term pedestrian tracking due to the ...
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 ...
Analysis Of The Performance Of The Distributed Maximum Power Point Tracking In Building Integrated Photovoltaic Systems
(Institute of Electrical and Electronics Engineers Inc., 2023)
Building-integrated/applied photovoltaic (PV) systems have been widespread recently in terms of electrical energy generation in buildings. These systems are applications with much lower power than land type large-scale ...
An Extensive Study: Creation of A New Inverted Microscope Image Data Set and Improving Auto-Encoder Models for Higher Accuracy Segmentation of HaCaT Cell Culture Line
(Institute of Electrical and Electronics Engineers Inc., 2023)
In cell culture investigations, it is assumed that the number of cells is counted automatically without the need for forward planning, additional tools, or consumables. The automatic cell counting process is greatly ...