Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu: Güncel gönderi

Toplam kayıt 212, listelenen: 21-40

    • Dynamic Fusion Networks For Predicting Saliency in Videos 

      Koçak Özcan, Aysun (Fen Bilimleri Enstitüsü, 2023)
      Saliency estimation methods aim to model the human visual attention mechanisms which help to process the most relevant regions in a scene. In other words, the saliency estimation methods' goal is to develop a computational ...

    • Multimodal Machine Comprehension of How-to Instructions with Images and Text 

      Yağcıoğlu, Semih (Fen Bilimleri Enstitüsü, 2023)
      In the blink of an eye, we understand what we are looking at. Most of our brain is organized to process the visual information we receive; thus, replicating human intelligence requires a complete understanding of human ...

    • Real-Time Radar Tracking System With Deep Learning 

      Muhammed Emir Çakıcı (Fen Bilimleri Enstitüsü, 2023)
      Real-time data tracking plays an essential role in the flight test processes of an aircraft. The data flowing from the aircraft to the ground control center must be real-time and uninterrupted. However, sometimes ground ...

    • A Computationally Efficient Heuristic Algorithm For Piecewise Linear Regression 

      Doğan, Kübra (Fen Bilimleri Enstitüsü, 2023)
      Regression analysis is a method used to model the relationship between the dependent variables and the independent variable in the data, and to predict the dependent variable from the independent variables in the future ...

    • Multi-Objective Approach for Intrusion Detection in RPL-Based Internet of Things 

      Deveci, Ali (Fen Bilimleri Enstitüsü, 2023)
      In the last decade, humanity has witnessed a tremendous increase in the number of life-saving applications such as smart home or automated industrial systems. This is mainly due to recent advances in resource-constrained ...

    • A Novel Communicatıon Protocol Design For Internet Of Flying Things 

      Çorak, Burak Han (Fen Bilimleri Enstitüsü, 2023)
      In this thesis a new communication protocol, Message Queuing Telemetry Transport Extended (MQTT-XT) is proposed for the Internet of Flying Things (IoFT) network. The main objective of the proposed protocol is to enable ...

    • Robust and Intelligent Control of Unmanned Aerial Vehicles 

      Bayrak, Abdurrahman (Fen Bilimleri Enstitüsü, 2023-01-02)
      Quadrotors from the family of unmanned aerial vehicles have an important place for human life, because over the last decade, they have been used in many areas both civilian and military applications, such as search, ...

    • An End-To-End Convolutional Neural Network Framework For Low-Resolution Attribute Recognition 

      abbaszadi, Ramin (Fen Bilimleri Enstitüsü, 2022)
      In video surveillance, visual person attributes such as gender, backpack, and type of clothing are crucial for searching and re-identification. For detecting and retrieving these attributes with high accuracy, the availability ...

    • Neural Semantİc Parsİng, Annotation and Evaluation for Turkish 

      Bölücü, Necva (Fen Bilimleri Enstitüsü, 2022-12-13)
      Semantic representation is a way of expressing the meaning of a text that can be processed by a machine to serve a particular natural language processing (NLP) task. Universal Conceptual Cognitive Annotation (UCCA) is one ...

    • Recognizing Human Actions from Images with Attention Mechanism 

      Baş, Çağdaş (Fen Bilimleri Enstitüsü, 2022-05)
      Human action recognition in still images is a challenging problem due to the lack of complete motion compared to videos. A single snippet of the ongoing action does not compete with the rich information provided by a video. ...

    • Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes 

      Oğul, Burçin Buket (Fen Bilimleri Enstitüsü, 2022)
      Action quality assessment using computerized methods is considered to be a promising direction in objective evaluation of actions in several domains including health, sport and education. In a typical architecture for ...

    • Model Robustness in Data-Scarce Regimes and the Effect of Frequency Perturbations 

      Mehmet Kerim Yucel (Fen Bilimleri Enstitüsü, 2022)
      The last decade has witnessed the meteoric rise of data-driven methods, which has been elevated to new heights thanks to the availability of powerful hardware and abundant data. Despite their swift ascension, deep learning ...

    • Flight Maneuver Classification Using Artificial Neural Networks 

      Pusat, Fikrican (Fen Bilimleri Enstitüsü, 2023)
      There are globally known basic flight maneuvers performed by fighter and aerobatics pilots with agile aircraft. These basic flight maneuvers have strict rules that the pilots should follow to complete the maneuver and ...

    • Comparative Study on Music Source Separation Methods 

      Baysal, Burak (Fen Bilimleri Enstitüsü, 2022)
      Blind source separation is the concept that separates the source signals from the mixture signal. "Blind" means no prior knowledge of the source or the mixing environment. The blind source separation problem is a problem ...

    • Explaining Artificial Neural Networks With Decision Tree Ensembles 

      Kılıç, Sayit (Fen Bilimleri Enstitüsü, 2023)
      With the development of efficient algorithms, artificial intelligence (AI) applications have become ubiquitous in almost every aspect of our lives. They have even started to be used in critical areas such as defense industry, ...

    • Robust Control of A Missile System 

      Gürsoy Demir, Handan (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 ...

    • Generating Illustrations for Children Books Using Generative Adversarial Networks 

      Hiçsönmez, Samet (Fen Bilimleri Enstitüsü, 2022)
      This thesis presents a very first method to create children illustration book images. Our method takes edge maps or sketches as input and generates images and/or videos stylized by the selected illustrator. To achieve this, ...

    • Learning Sign Languages with Limited Supervision and Semantic Representations 

      Bilge, Yunus Can (Fen Bilimleri Enstitüsü, 2022-06)
      Sign languages evolve and change over time, much like spoken languages. It is impractical to annotate the signs of a sign language for supervised learning. Scalable recognition modalities are needed for SLR especially for ...

    • A Decision Analysis Approach for Selecting Software Defect Prediction Method in the Early Phases 

      Özakıncı, Rana (Fen Bilimleri Enstitüsü, 2022-06)
      Considering that software usage rates have increased, it is inevitable for end-users to prefer high-quality software products. Undoubtedly, one of the most important quality indicators of a software product is its defect ...

    • Keyframe Extraction Using Linear Rotation Invariant Coordinates 

      Mutlu, Hasan (Fen Bilimleri Enstitüsü, 2022)
      Today, with the improvements in the processing power of video cards, SOC hardware, and smartphones, the use of 3D motion data has expanded considerably beyond video games. At the same time, through these developments, the ...