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Melanoma cancer analysis towards early detection using machine learning algorithms
(Amer Scientific Publishers, 2019)
In the recent years, computerized biomedical image and analysis are extremely promising and more interested and beneficial, it provides remarkable information and diagnoses of skin lesion. Melanoma distinguish one of lethal ...
Efficient unconstrained iris recognition system based on CCT-Like mask filter bank
(Hindawi Ltd, 2019)
In this paper, a new personal identification method based on unconstrained iris recognition is presented. We apply a nontraditional step for feature extraction where a new circular contourlet filter bank is used to capture ...
Multiple DGs for reducing total power losses in radial distribution systems using hybrid WOA-SSA algorithm
(Hindawi Ltd, 2019)
Distributed generators (DGs) are currently extensively used to reduce power losses and voltage deviations in distribution networks. The optimal location and size of DGs achieve the best results. This study presents a novel ...
Detection of attacks on wireless sensor network using genetic algorithms based on fuzzy
(Diponegoro Univ, 2019)
In this paper an individual - suitable function calculating design for WSNs is conferred. A multi-agent-located construction for WSNs is planned and an analytical type of the active combination is built for the function ...
EN-NEAT: Enhanced energy efficient threshold-based emergency data transmission routing protocol for wireless body area network
(Springer International Publishing Ag, 2019)
Wireless body area network (WBAN) is a network composed of tiny sensor nodes that can be placed on/in/around the body to measure physiological parameters in real time and transmit it through the Internet to a caregiver. ...
Impact of metaheuristic iteration on artificial neural network structure in medical data
(Mdpi, 2018)
Medical data classification is an important factor in improving diagnosis and treatment and can assist physicians in making decisions about serious diseases by collecting symptoms and medical analyses. In this work, hybrid ...
Efficient hybrid multi-objective evolutionary algorithm
(Int Journal Computer Science & Network Security-Ijcsns, 2018)
In the artificial intelligence community the multi-objective optimization problem become very common and has been rapidly increasing attention. This significant is due to the fact that there is high number of real-world ...
Dikkat seviyesinin gerçek zamanda izlenmesi; bir web uygulaması
(Altınbaş Üniversitesi, 2017)
Dikkat seviyesinin ölçüldüğü ve izlendiği bu bildiri kapsamında; Emotiv Epoc cihazı ile yapılan ölçümler gerçek zamanlı olarak değerlendirilerek bir web uygulama arayüzü sayesinde geri bildirim alınmıştır. Alınan geri ...
Öncül bilgi tabanlı kan paylaşım sistemi tasarım ve uygulaması
(Altınbaş Üniversitesi, 2018)
Bu tez çalışmasının amacı, kan ihtiyacı olan hasta ve sağlık kuruluşlarının kan gönüllüsü olan donörler ile aralarındaki haberleşmeyi bulut sunucular üzerinden sağlamaktır. En doğru ve hızlı şekilde gönüllülerin paylaştığı ...
Economic dispatch problem including renewable energy using multiple methods
(Altınbaş Üniversitesi, 2018)
The successful design and operation of any power system is highly dependent on the economic load dispatch problem, therefore it can be considered as a major factor for any power system. Economic load dispatch (ELD) problem ...
