Yazar "Gürüler, Hüseyin" için listeleme
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Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning
Ayvaz, Uğur; Gürüler, Hüseyin; Khan, Faheem; Ahmed, Naveed; Whangbo, Taegkeun (Tech Science Press, 2022)Automatic speaker recognition (ASR) systems are the field of Human-machine interaction and scientists have been using feature extraction and feature matching methods to analyze and synthesize these signals. One of the most ... -
The Design and Implementation of A GSM Based User-Machine Interacted Refrigerator
Gürüler, Hüseyin (Ieee, 2015)Today, many user-machine interacted devices are tailored at the service of people. This paper presents a new low cost smart fridge in which GSM is used as the media of communication between the machine and humans. The ... -
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 ... -
An Efficient and Reliable Multicasting for Smart Cities
Khan, Faheem; Zahid, Muhammed; Gürüler, Hüseyin; Tarımer, İlhan; Whangbo, Taegkeun (TECH SCIENCE PRESS, 2022)The Internet of thing (IoT) is a growing concept for smart cities, and it is compulsory to communicate data between different networks and devices. In the IoT, communication should be rapid with less delay and overhead. ... -
Ergonomik Bilgisayar Kullanımına Yönlendiren Bir Asistan Sistem Tasarımı
Gürüler, Hüseyin; Ayvaz, Uğur (2017)Günümüzde hemen her yaş gurubundan insan bilgisayarların ve bilgisayar destekli sistemlerin kullanıcısı konumundadır. Hayatımızı kolaylaştıran teknoloji bir yandan da sağlığımızı tehdit edebilmektedir. Son yıllarda artan ... -
Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction
Faaeq, Ainuddin; Gürüler, Hüseyin; Peker, Musa (Ieee, 2018)This paper presents fast categorization or classification of images on an animal dataset using different classification algorithm in combination with manifold learning algorithms. The paper will focus on comparing the ... -
Karmaşik Değerlikli Sinir Ağlari Için Bir Yazilim Araci: CV-ANN
Gürüler, Hüseyin; Peker, Musa (Institute of Electrical and Electronics Engineers Inc., 2015)Complex valued artificial neural networks (CVANN); is a kind of artificial neural network of which parameters such as weight, threshold, input and output consisting of complex numbers. In recent years, CVANN has increasing ... -
Man Overboard Detection System Using IoT for Navigation Model
Gürüler, Hüseyin; Altun, Murat; Khan, Faheem; Whangbo, Taegkeun (Tech Science Press, 2022)Security measures and contingency plans have been established in order to ensure human safety especially in the floating elements like ferry, roro, catamaran, frigate, yacht that are the vehicles services for the purpose ... -
A Medical Decision Support System Based on Ensemble of Complex-Valued Radial Basis Function Networks
Peker, Musa; Gürüler, Hüseyin; İstanbullu, Ayhan (Igi Global, 2018)The use of machine learning techniques for medical diagnosis has become increasingly common in recent years because, most importantly, the computer-aided diagnostic systems developed for supporting the experts have provided ... -
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 ... -
A NEW FUZZY LOGIC BASED CAREER GUIDANCE SYSTEM: WEB-CGS
Peker, Musa; Gürüler, Hüseyin; Şen, Baha; İstanbullu, Ayhan (Univ Osijek, Tech Fac, 2017)Choosing a career affects individuals' social life deeply in terms of many dimensions. However, choosing the right career is becoming increasingly difficult given the existence of an increasing number of professions and ... -
A novel diagnosis system for Parkinson's disease using complex-valued artificial neural network with k-means clustering feature weighting method
Gürüler, Hüseyin (Springer, 2017)Parkinson's disease (PD) is a degenerative, central nervous system disorder. The diagnosis of PD is difficult, as there is no standard diagnostic test and a particular system that gives accurate results. Therefore, automated ... -
A novel intelligent WEB application on refrigerator systems
Gürüler, Hüseyin; Çetin, Gürcan (Springer Science and Business Media Deutschland GmbH, 2020)In parallel with the recent development of technology, users’ interest in smart homes is increasing. Many studies have been carried out to develop smarter products having different technology readiness levels (TRL3–TRL6). ... -
Öğrencilerin Sınıf içi Duygusal Durumlarının Gerçek Zamanlı Tespit Edilmesi
Ayvaz, Uğur; Gürüler, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2017)Today, as social media sharing increases, the instant emotional state of the students changes frequently. This situation is greatly affecting the learning process as well as the motivation of the students in the classroom. ... -
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 ... -
Security-based explainable artificial intelligence (XAI) in healthcare system
Gürüler, Hüseyin; Islam, Naveed; Din, Alloud (INST ENGINEERING TECH-IET, 2022)Explainable Artificial Intelligence (XAI) is one of the most advanced research areas of Artificial Intelligence (AI). To explain the deep learning (DL) model is the main objective of XAI. It deals with artificial models ... -
Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
Gürüler, Hüseyin; Peker, Musa; Baysal, Ömür (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 ...
