Dosya Biçimi"TÜBİTAK" Bilgisayar Mühendisliği Bölümü için listeleme
Toplam kayıt 23, listelenen: 1-20
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An Rnn-Based Approach for Dıscoverıng Inconsıstencıes Between Permıssıons and Metadata In Androıd Applıcatıons
(Fen Bilimleri Enstitüsü, 2019-09)Since mobile devices are increasingly on hand today, users have become more heavily involved with their use in accessing the Internet. Today, most mobile devices use the Android operating system. On mobile devices, users' ... -
Boosting Video-Based Person Re-Identification With Synthetic Human Agents
(Fen Bilimleri Enstitüsü, 2019-09)In recent years, research made in person re-identification has gained quite a bit of significance due to the increasing demand from a broad range of application fields with security and surveillance topping the list. A ... -
Congestıon-Aware Adaptıve Routıng Algorıthm Desıgn for 3d Network-On-Chıp
(Fen Bilimleri Enstitüsü, 2021-06)New communication methods have become inevitable due to the continuous increase in the number of components on the integrated circuits. Designers, who prioritize performance, scalability, power consumption need better ... -
Deep Learnıng Archıtectures for Collectıve Actıvıty Recognıtıon
(Fen Bilimleri Enstitüsü, 2019-09-30)Collective activity recognition, which analyses the behavior of groups of people in videos, is an essential goal of video surveillance systems. In this thesis, we proposed three new solutions and one novel dataset for the ... -
Dense Video Captioning By Utilizing Auxiliary Image Data
(Fen Bilimleri Enstitüsü, 2020-07)Dense video captioning aims at detecting events in untrimmed videos and generating accurate and coherent caption for each detected event. It is one of the most challenging captioning tasks since generated sentences must ... -
Derin Öğrenme-Bazlı Bilgisayarlı Göre Modellerinin Eğitimi ve Değerlendirilmesi için Sentetik Veri Üretimi
(Fen Bilimleri Enstitüsü, 2021-06-07)The recent great success witnessed in computer vision field in solving high-level vision tasks such as visual object tracking, semantic segmentation, instance segmentation, and optical flow recognition is predominantly ... -
Effective and Efficient Parallelization of String Matching Algorithms Using GPGPU Accelerators
(Fen Bilimleri Enstitüsü, 2020)String matching is one of the oldest and actively studied problems in computer science. It has applications in computer security, bio-informatics, social media processing, data mining, data compression, coding theory, and ... -
Effects of Using Different Resources on Reliability and Power Consumption in Digital Circuit Design
(Fen Bilimleri Enstitüsü, 2020)Designing an application in hardware under inversely competing constraints such as area, performance and power consumption with different objective functions such as reliability of the circuits is a cumbersome task. Having ... -
Electric Fish Optimization: A New Heuristic Algorithm Based on Electrolocation
(Fen Bilimleri Enstitüsü, 2020-01-20)Swarm behaviors in nature have inspired the emergence of many heuristic optimization algorithms. These algorithms have attracted much attention, particularly for solving complex problems, owing to their characteristics of ... -
Elektrik Piyasasında Talep Katılımı için Bir Süreç Değerlendirme Modelinin Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2022-01)Demand response (DR) is a new study area and many countries intend to create roadmaps to activate their implementations. The Smart Grid Maturity Model (SGMM) defines the characteristics and targets related the customer, ... -
FPGA tabanlı otomatik kontrol sistemleri geliştirme
(Fen Bilimleri Enstitüsü, 2016-05)In this thesis, controller design is studied on a Field Programmable Gate Array (FPGA), which has the capabilities of reprogrammability and parallel processing. The PID and SMC have been chosen as controllers in this study ... -
Gelişmiş Sinyal İşleme için Verimli Heterojen Paralel Hesaplama
(Fen Bilimleri Enstitüsü, 2022)In this thesis, power-efficient, real-time, parallel applications are designed which aims to reduce increased computational overhead of advanced signal processing algorithms compared to conventional signal processing ... -
Learnıng Vısually-Grounded Representatıons Usıng Cross-Lıngual Multımodal Pre-Traınıng
(Fen Bilimleri Enstitüsü, 2020-09)In recent years, pre-training approaches in the field of NLP have emerged with the increase in the number of data and developments in computational power. Although these approaches initially included only pre-training a ... -
Optimization Methods in High-Level Synthesis
(Fen Bilimleri Enstitüsü, 2022-06-30)Continuous decrease in the transistor technology sizes has enabled much denser packaging of electronic components on chips, which has resulted in integrated circuits with more functionalities and lower costs. However, it ... -
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 ... -
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 ... -
Robust Control of A Missile System
(Fen Bilimleri Enstitüsü, 2022-05)Missiles, known for their high agility and fast speed, are becoming increasingly important for defense purposes and they are frequently encountered, especially in air defense scenarios. In an air defense scenario, the ... -
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 ... -
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 ... -
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 ...
