Ara
Toplam kayıt 59, listelenen: 21-30
Arduino-assisted robotics coding applications integrated into the 5E learning model in science teaching
(Bellwether Publishing, Ltd., 2020)
The present study aimed to determine the effects of arduino-assisted robotics coding applications integrated into the 5E learning model used in science teaching on students' scientific creativity, robotics attitude and ...
Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
(Springer, 2015)
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic ...
Performance evaluation of machine learning algorithms for detecting abnormal data traffic in computer networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Detection and classification of abnormal data in computer network traffic is a very important cyber-security problem. In this study, the aim is to determine the methods with a high rate of success in classifying the data ...
Prediction of traumatic pathology by classifying thorax trauma using a hybrid method for emergency services
(Institution of Engineering and Technology, 2021)
In recent years, data mining and algorithm-based methods have been used frequently for the prediction and diagnosis of various diseases. Traumas, being one of the significant health problems in the world, are also one of ...
Data analysis of Covid-19 pandemic and short-term cumulative case forecasting using machine learning time series methods
(Elsevier Science, 2021)
The Covid-19 pandemic is the most important health disaster that has surrounded the world for the past eight months. There is no clear date yet on when it will end. As of 18 September 2020, more than 31 million people have ...
Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant
(Elsevier Ltd, 2021)
Binary geothermal power plants (GPP) always attract researchers’ attention as they are renewable-energy operated, low-temperature, high-performance, environmentally-friendly, and baseload power plants. In addition, they ...
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
(Springer, 2015)
The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification of appropriate depth level of anesthesia is a matter of great importance in surgical operations. Similarly, accelerating ...
Designing of a Permanent Magnet and Directly Driven Synchronous Generator for Low Speed Turbines
(Kaunas Univ Technology, 2011)
In this study, a radial flux generator which is driven directly for low speed turbines and structured by permanent magnets has been designed and analyzed by finite elements methods. The designed generator model has got the ...
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
(Univ Catolica de Valparaiso, 2015)
Background: Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the ...
Performance evaluation of artificial neural networks for identification of failure modes in composite plates
(Walter de Gruyter GmbH, 2021)
The aim of this work is to identify failure modes of double pinned sandwich composite plates by using artificial neural networks learning algorithms and then analyze their accuracies for identification. Mechanically pinned ...