Yazar "Gürüler, Hüseyin" için PubMed İndeksli Yayınlar Koleksiyonu listeleme
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Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network
Coşkun, Mustafa; Gürüler, Hüseyin; İstanbullu, Ayhan; Peker, Musa (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 ... -
An Efficient and Reliable Algorithm for Wireless Sensor Network
Khan, Faheem; Ahmad, Shabir; Gürüler, Hüseyin; Çetin, Gürcan; Whangbo, Taegkeun; Kim, Cheong-Ghil (Multidisciplinary Digital Publishing Institute (MDPI), 2021)In wireless sensor networks (WSN), flooding increases the reliability in terms of successful transmission of a packet with higher overhead. The flooding consumes the resources of the network quickly, especially in sensor ... -
Monkeypox Detection Using CNN with Transfer Learning
Altun, Murat; Gürüler, Hüseyin; Özkaraca, Osman; Khan, Faheem; Khan, Jawad; Lee, Youngmoon (MDPI, 2023)Monkeypox disease is caused by a virus that causes lesions on the skin and has been observed on the African continent in the past years. The fatal consequences caused by virus infections after the COVID pandemic have caused ... -
Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images
Özkaraca, Osman; Bağrıaçık, Okan İhsan; Gürüler, Hüseyin; Khan, Faheem; Hussain, Jamil; Khan, Jawad; Laila, Umm e (MDPI, 2023)Brain MR images are the most suitable method for detecting chronic nerve diseases such as brain tumors, strokes, dementia, and multiple sclerosis. They are also used as the most sensitive method in evaluating diseases of ... -
Predicting students at risk of academic failure using ensemble model during pandemic in a distance learning system
Karalar, Halit; Kapucu, Ceyhun; Gürüler, Hüseyin (Springer, 2021)Predicting students at risk of academic failure is valuable for higher education institutions to improve student performance. During the pandemic, with the transition to compulsory distance learning in higher education, ... -
Rapid Automated Classification of Anesthetic Depth Levels using GPU Based Parallelization of Neural Networks
Peker, Musa; Sen, Baha; Gürüler, Hüseyin (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 ...