Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 263, listelenen: 152-171
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Learning Based Image and Video Editing
(Fen Bilimleri Enstitüsü, 2019-12-05)Image and video editing encompasses the wide range of image operations to give desired visual effects to a given image or video either for improving various visual properties such as color, contrast, luminance or better ... -
Learning Heuristics Towards Solving Combinatorial Optimization Problems
(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 ... -
Learning Sign Languages with Limited Supervision and Semantic Representations
(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 ... -
Learning Visual Saliency For Static And Dynamic Scenes
(Fen Bilimleri Enstitüsü, 2018-09-26)The ultimate aim in visual saliency estimation is to mimic human visual system in predicting image regions which grab our attention. In the literature, many different features and models have been proposed, but still one ... -
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 ... -
Leveragıng Semantıc Salıency Maps For Query-Specıfıc Vıdeo Summarızatıon
(Fen Bilimleri Enstitüsü, 2022)Automatic video summarization is a technique that allows us to easily understand and analyze large amount of visual data. Methods in the literature do this by dividing the video into certain parts and assigning a significance ... -
Lingo Algoritmasının Kümelerle İlişkili Dokümanların Belirlenmesi ve Küme Etiketlerinin Çıkarılması Aşamalarının İyileştirilmesi
(Fen Bilimleri Enstitüsü, 2013)Search Results Clustering (SRC) algorithms are developed so that users can reach to the results that they search for easier. A good SRC algorithm is expected to correclty cluster the search results, and also to be able to ... -
Makine Öğrenme Yöntemleri Ve Kelime Kümesi Tekniği İle İstenmeyen E-Posta / E-Posta Sınıflaması
(Fen Bilimleri Enstitüsü, 2018)Nowadays, we frequently use e-mails, which is one of the communication channels, in electronic environment. It plays an important role in our lives because of many reasons such as personal communications, business-focused ... -
Manifestation of an Adaptive Neuro-Fuzzy Model on Landslide Susceptibility Mapping: Klang Valley, Malaysia
(Pergamon-Elsevier Science Ltd, 2011)The purpose of the present paper is to manifest the results of the neuro-fuzzy model using remote sensing data and GIS for landslide susceptibility analysis in a part of the Klang Valley areas i Malaysia. Landslide locations ... -
Microservice Reference Architecture for Deriving Application Architectures
(Fen Bilimleri Enstitüsü, 2023-01-04)Microservice architecture (MSA) is an architectural style for distributed software systems, which promotes the use of fine-grained services with their own lifecycles. Several benefits of MSA have been reported in the ... -
Mikroservisler için Verimli Yerleştirme Alternatiflerinin Türetilmesi
(Fen Bilimleri Enstitüsü, 2021)Microservice architecture is a popular approach that relies on modular software components that are loosely coupled, operate with a single functionality that can be independently deployed and communicate with each other ... -
MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty
(Fen Bilimleri Enstitüsü, 2022)The success and dependability of IoT applications are heavily dependent on data quality. Due to hardware problems, synchronization challenges, inconsistent network connectivity, and manual system shutdown, produced data ... -
Mobil Uygulamaların Evriminde Kalitenin Gelişimi
(Fen Bilimleri Enstitüsü, 2018)Mobile applications are becoming complex software systems as they rapidly evolve and grow constantly to meet user requirements. However, satisfying these requirements may lead to poor design choices known as ‘antipatterns’ ... -
Model Robustness in Data-Scarce Regimes and the Effect of Frequency Perturbations
(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 ... -
Modelıng Of The Ionosphere's Dısturbance Usıng Deep Learnıng Technıques
(Fen Bilimleri Enstitüsü, 2021-09-14)The ionosphere drives an essential role in the atmosphere and earth. Solar flares due to coronal mass ejection, seismic movements, and geomagnetic activity cause deviations in the ionosphere. The main parameter for ... -
Monocular Depth Estimation with Self-Supervised Representation Learning
(Fen Bilimleri Enstitüsü, 2022)Many representation and modalities are developed for better scene understanding as images, videos, point clouds, etc. In this thesis, we intentionally characterize scene representation as depth maps in order to leverage ... -
Multi-Objective Approach for Intrusion Detection in RPL-Based Internet of Things
(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 ... -
Multi-Scheduling Technıque for Real-Time Systems on Embedded Multi-Core Processors
(Fen Bilimleri Enstitüsü, 2014)This thesis introduces Multi-scheduling method for Multi-core hardware platforms without running heterogeneous operating systems concurrently. In this technique, there are two schedulers in single operating system. One of ... -
Multilevel Sentiment Analysis in Arabic
(Fen Bilimleri Enstitüsü, 2017-08-24)Sentiment analysis has a great necessity to classify sentences like review, news, blog, etc. in order to hold the overall sentiment (i.e. negative, positive or neutral) embedded in them. The vast majority of studies focused ... -
Multimodal Machine Comprehension of How-to Instructions with Images and Text
(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 ...