Yeni Eklenenler

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 ...

Learning Heuristics Towards Solving Combinatorial Optimization Problems

Taşdemir, Ali Baran (Fen Bilimleri Enstitüsü, 2022)

We introduce a learning framework towards the approximation of the maximum clique enumeration problem. We make use of node classification to eliminate the least likely nodes to be in a maximum clique and reduce the input ...

An Attention Based Deep Neural Network Architecture for Identification of Phishing URLS Through Character Level N-Gram Embeddings

Dalgıç, Fırat Coşkun (Fen Bilimleri Enstitüsü, 2022-06-24)

Despite the various technological advancements that have been made in the fight against phishing attacks, the problem still remains one of the most common threats in the cybersecurity domain. Due to the increasing number ...

Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu: Güncel gönderi

A Novel Communicatıon Protocol Design For Internet Of Flying Things

Robust and Intelligent Control of Unmanned Aerial Vehicles

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

Neural Semantİc Parsİng, Annotation and Evaluation for Turkish

Recognizing Human Actions from Images with Attention Mechanism

Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes

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

Flight Maneuver Classification Using Artificial Neural Networks

Comparative Study on Music Source Separation Methods

Explaining Artificial Neural Networks With Decision Tree Ensembles

Robust Control of A Missile System

Generating Illustrations for Children Books Using Generative Adversarial Networks

Learning Sign Languages with Limited Supervision and Semantic Representations

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

Keyframe Extraction Using Linear Rotation Invariant Coordinates

Learning Heuristics Towards Solving Combinatorial Optimization Problems

An Attention Based Deep Neural Network Architecture for Identification of Phishing URLS Through Character Level N-Gram Embeddings

MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty

Leveragıng Semantıc Salıency Maps For Query-Specıfıc Vıdeo Summarızatıon

Optımızatıon Methodology For Applıcatıon Mappıng In Wıreless Network-On-Chıp

Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu: Güncel gönderi

A Novel Communicatıon Protocol Design For Internet Of Flying Things ﻿

Robust and Intelligent Control of Unmanned Aerial Vehicles ﻿

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

Neural Semantİc Parsİng, Annotation and Evaluation for Turkish ﻿

Recognizing Human Actions from Images with Attention Mechanism ﻿

Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes ﻿

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

Flight Maneuver Classification Using Artificial Neural Networks ﻿

Comparative Study on Music Source Separation Methods ﻿

Explaining Artificial Neural Networks With Decision Tree Ensembles ﻿

Robust Control of A Missile System ﻿

Generating Illustrations for Children Books Using Generative Adversarial Networks ﻿

Learning Sign Languages with Limited Supervision and Semantic Representations ﻿

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

Keyframe Extraction Using Linear Rotation Invariant Coordinates ﻿

Learning Heuristics Towards Solving Combinatorial Optimization Problems ﻿

An Attention Based Deep Neural Network Architecture for Identification of Phishing URLS Through Character Level N-Gram Embeddings ﻿

MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty ﻿

Leveragıng Semantıc Salıency Maps For Query-Specıfıc Vıdeo Summarızatıon ﻿

Optımızatıon Methodology For Applıcatıon Mappıng In Wıreless Network-On-Chıp ﻿

A Novel Communicatıon Protocol Design For Internet Of Flying Things

Robust and Intelligent Control of Unmanned Aerial Vehicles

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

Neural Semantİc Parsİng, Annotation and Evaluation for Turkish

Recognizing Human Actions from Images with Attention Mechanism

Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes

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

Flight Maneuver Classification Using Artificial Neural Networks

Comparative Study on Music Source Separation Methods

Explaining Artificial Neural Networks With Decision Tree Ensembles

Robust Control of A Missile System

Generating Illustrations for Children Books Using Generative Adversarial Networks

Learning Sign Languages with Limited Supervision and Semantic Representations

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

Keyframe Extraction Using Linear Rotation Invariant Coordinates

Learning Heuristics Towards Solving Combinatorial Optimization Problems

An Attention Based Deep Neural Network Architecture for Identification of Phishing URLS Through Character Level N-Gram Embeddings

MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty

Leveragıng Semantıc Salıency Maps For Query-Specıfıc Vıdeo Summarızatıon

Optımızatıon Methodology For Applıcatıon Mappıng In Wıreless Network-On-Chıp