Ara
Toplam kayıt 93, listelenen: 31-40
Game-day scheduling problem for sport events
(Işık Üniversitesi, 2016-01-04)
In this research, we first define such a sport event scheduling problem in which the days of the games has to be decided for a given fixture of a sport organization without violating some given restrictions that aim to ...
Optimum blend of fractal methods for automatic malignancy determination in dermoscopy images
(Işık Üniversitesi, 2015-08-10)
The most important step is early and effective diagnosis in the treatment of melanoma which constitutes the biggest part of skin cancers results in death. At the present time, dermatologists take dermoscopy images, visually ...
Differentially private attribute selection for classification
(Işık Üniversitesi, 2015-06-18)
Any study on processing or analyzing large data sets that contain personally sensitive data should conform against some form of privacy protection mechanism. Otherwise, malicious people can aceess these data sets to extract ...
A methodology to measure customer expectations by Using Kano's model
(Işık Üniversitesi, 2014-09-12)
Kano’s model has been extensively used to investigate the customer requirements and to determine which features of the product (or service) have the most impact on customer satisfaction (or dissatisfaction). During the ...
Analysis of different maintenance policies on a multi-component system using dynamic bayesian networks
(Işık Üniversitesi, 2019-01-15)
Recently, system components and interactions between them have become more complex and this situation has made it di?cult to provide maintenance decisions. Herewith, determining e?ective decisions has played an important ...
Evaluation of feature selection and encoding methods fpr superpixel image parsing
(Işık Üniversitesi, 2017-12-14)
This thesis is about image parsing which is one of the important problems in computer vision. The goal of image parsing is segmentation of object and labeling of each object. Recently, a popular way of image segmentation ...
Deep learning techniques for building density estimation from remotely sensed imagery
(Işık Üniversitesi, 2019-04-05)
This thesis is about point-wise estimation of building density on the remote sensing optical imageries by applying deep learning methods. The goal of the project is to reduce mean square error of the estimated density by ...
Turkish electricity sector: a bottom-up approach
(Işık Üniversitesi, 2017-01-17)
The importance of this study, roots from being the first attempt to model and examine Turkish energy system specific to electricity sector using TIMES modelling methodology to assess the future pathways of the system under ...
Prediction of final football league standings by dynamic frontier estimation
(Işık Üniversitesi, 2017-07-13)
Data Envelopment Analysis (DEA) is a commonly used method for efficiency assessment of teams in many sports including football. In this work, we investigate how estimations of final league standings with DEA efficiency ...
Optimal project duration for resource leveling
(Işık Üniversitesi, 2017-07-13)
Resource leveling is important in project management as resource fluctuations are costly and undesired. Typically, schedules with better resource profiles are obtained using the schedule found by Critical Path Method and ...