Kategori "Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı" Bilişim Sistemleri Mühendisliği Bölümü Koleksiyonu İçin Listeleme
Toplam kayıt 12, listelenen: 1-12
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AkıllıTelefon Üzerinden AkıllıSaat Destekli Düşme Tespit Sistemi Tasarımı
(Institute of Electrical and Electronics Engineers Inc., 2018)Falling is an important health risk, especially for the elderly people. This situation prevents individuals from living independently. Automatic and high accuracy detection of the falls will contribute in preventing the ... -
Classification Turkish SMS with Deep Learning Tool Word2Vec
(Ieee, 2017)In this study, it was aimed to develop SMS (Short Message) classification application based on deep learning. By examining messages collected from different age groups and regions, feature labels that could be effective ... -
Clustering of Participation Degrees of Distance Learning Students to Course Activity by Using Fuzzy C-Means Algorithm
(Ieee, 2018)This study presents a clustering method based on Fuzzy C-Means algorithm for determining the participation degree of distance learning students to course activity. It will be used to predict academic performance of the ... -
The Design and Implementation of A GSM Based User-Machine Interacted Refrigerator
(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 ... -
Hareket Sensörleri Uzerinden Oylama Yöntemi ile Aktivite Tespiti
(Institute of Electrical and Electronics Engineers Inc., 2017)Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth ... -
IEEE 802.15.4 / ZigBee Based Wireless Sensor Network Design for Monitoring Server Rooms
(Ieee, 2017)it is expected that server rooms equipped with expensive and complex devices must be reliable and stable. However, excessive environmental factors such as temperature and humidity can cause very serious effects on the ... -
Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction
(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
(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 ... -
Ki-67 Proliferasyon İndeksinin Hesaplanmasi için Bilgisayar Destekli Bir Sistem
(Institute of Electrical and Electronics Engineers Inc., 2017)Neuroendocrine tumors (NET) are a heterogeneous group of tumors that can develop in almost every localization of the body. The study is the computation of the Ki-67 proliferation index, which is an important information ... -
A novel approach for transportation mode detection: Combining t-SNE Manifold Learning and Support Vector Machines
(Ieee, 2017)The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 ... -
Öğrencilerin Sınıf içi Duygusal Durumlarının Gerçek Zamanlı Tespit Edilmesi
(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. ... -
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 ...