Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Title
Now showing items 116-135 of 162
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Recognıtıon Of Human Interactıons Usıng Hıstogram Of Sequences
(Fen Bilimleri Enstitüsü, 2018-10-08)In recent years, many techniques have been proposed for recognition of the human interactions in the computer vision literature. To recognize human interactions, spatial and temporal descriptors have been used together. ... -
Recognızıng Human Interactıons In Stıll Images
(Fen Bilimleri Enstitüsü, 2020)Recognizing human interactions in still images is quite a challenging problem since compared to videos, there is only a glimpse of interaction in a single image. In this thesis, we explore the role of two components that ... -
Reinforcement Learning based Adaptive Access Class Barring for RAN Slicing in 5G Networks
(Fen Bilimleri Enstitüsü, 2021-09-28)Machine-to-Machine (M2M) communication is one of the major drivers of 5G networks as M2M traffic might soon surpass Human-to-Human (H2H) traffic. Network slicing is a promising technique for supporting M2M traffic on 5G ... -
Relıabılıty and Energy Optımızatıon in Hıgh Level Synthesıs of Integrated Cırcuıts
(Fen Bilimleri Enstitüsü, 2020-01-31)Ever-increasing performance demand for the computer applications has resulted in shrinking the technology sizes of the CMOS circuits over the past 50 years, which made it possible to increase the number of transistors ... -
RGB-D Algılayıcılar Kullanılarak Eş Zamanlı Konum Belirleme ve Haritalama
(Fen Bilimleri Enstitüsü, 2018)In order to fulfill its mission in an unknown environment, an autonomous mobile robot needs to create map of the environment and locate itself instantly on the map at the same time. This problem, called Simultaneous ... -
Sağlık Hizmetlerinde Anonimlik: Dağıtık Yapılar Için Ideal Bir Veri Paylaşım Modeli
(Fen Bilimleri Enstitüsü, 2014)Data obtained or recorded by healthcare institutions, present extraordinary opportunities to produce forward solutions in many fields. Sharing accurate (real-consistent) data is necessary to produce useful results in ... -
Sağlık Süreçlerini İyileştirmede Süreç Madenciliği Tekniğini Kullanan Bir Performans Analiz Metodu
(Fen Bilimleri Enstitüsü, 2018-07-05)A PERFORMANCE ANALYSIS METHOD FOR HEALTHCARE PROCESS IMPROVEMENT USING PROCESS MINING TECHNIQUE In the last decade, as an emerging technique for business processes management, process mining has been applied in many ... -
Scrum Yöntemi Yapı Elemanlarının Cmmı Seviye 2 Gereklerine Göre Bir Vaka Çalışması Kapsamında Eşleştirilmesi
(Fen Bilimleri Enstitüsü, 2018)The rapid rate of change in information technology is causing increasingly widespread heavy plans, specifications and other documentation based on contractual inertia and maturity model compatibility criteria [1]. In ... -
Selectıve Personalızatıon Usıng Topıcal User Profıle To Improve Search Results
(Fen Bilimleri Enstitüsü, 2020-10-02)Personalization is a technique used in Web search engines to improve the effectiveness of in- formation retrieval systems. In the field of personalized web search has recently been doing a lot of research and applications. ... -
Sparsity-Based Discriminative Tracking with Adaptive Cue Integration
(Fen Bilimleri Enstitüsü, 2015)Bu tezde, modelsiz takibe ilişkin yeni bir yaklaşım sunmaktayız. Öne sürülen görsel nesne takibi çalışması, seyrek kodlama tabanlı ayırt etme odaklı nesne takibi ile çoklu öznitelikleri dinamik bir şemayla birleştirme ... -
Spatıo-Temporal Earthquake Predıctıon Wıth Structural Recurrent Neural Networks
(Fen Bilimleri Enstitüsü, 2021)The earthquake prediction problem can be defined as a given a minimum Richter magnitude scale and a specified geographic region, predicting the possibility of an earthquake in that region within a time interval. This is a ... -
Stilistik Özellikler Kullanılarak Yazar Tanıma İşinde Yapay Sinir Ağlarının Başarımının Değerlendirilmesi: Türkçe Köşe Yazıları
(Fen Bilimleri Enstitüsü, 2017)One of the main opportunities that the internet provides today is the rapidity of media resources, anonymity and accessibility from anywhere. Since individuals do not have to use their real identity in places like websites, ... -
Tagging And Action Graph Generation For Recipes
(Fen Bilimleri Enstitüsü, 2019-09-12)Processing instructions is significant to accomplish daily tasks. Instructions can be found in many different forms for a variety tasks. Machine understanding of instructions, similarly, can be beneficial for artificial ... -
Tamgacı: Artırımsal ve Geri Beslemeli Türkçe Yazar Çözümleme
(Fen Bilimleri Enstitüsü, 2014)Authorship Analysis is the analysis of a text to get information about the author of that text. It has a long history about 130 years with a wide range of studies, and is an important research topic for criminal, literary, ... -
Temporal Anomaly Localızatıon In Vıdeo
(Fen Bilimleri Enstitüsü, 2021-10-14)Detecting anomalies in surveillance videos is an important research problem in computer vision. In this thesis, we propose two deep network architectures for anomaly detection, Anomaly Detection Network (ADNet) and Anomaly ... -
Topic Model Based Recommendation System To Identify Operations That Are Missing In The Treatment
(Fen Bilimleri Enstitüsü, 2019)In the medical field, although it is extremely important and a legal obligation to record the pro-cedures applied to patients by the health personnel, generally the operation lists are incomplete. Omissions in the operation ... -
Topic Model Based Recommendation Systems Retailers
(Fen Bilimleri Enstitüsü, 2016)Nowadays, sellers need very good strategy to keep their customers’ loyalty and to attract new customers to their shops. One of the important ways to accomplish this task is to present new and interesting items to their ... -
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
(Fen Bilimleri Enstitüsü, 2021)Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ... -
Turkish Video Captioning with Msvd-Turkish Dataset
(Fen Bilimleri Enstitüsü, 2020)The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ... -
Türkçe Ağızların Tanınmasında Derin Öğrenme Tekniğinin Kullanılması
(Fen Bilimleri Enstitüsü, 2019-02)Automatic speech recognition systems are used to translate speech sounds into text. The performance of the automatic speech recognition system in any language is dependent on the speaker gender and emotion as well as ...
