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Toplam kayıt 212, listelenen: 171-180
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 ...
A Plagiarism Detection System Based on POS Tag N-Grams
(Fen Bilimleri Enstitüsü, 2022)
It is a common problem to find similar parts in two different documents or texts. Especially, a text suspected of plagiarism is likely to have similar characteristics with the source text. Plagiarism is defined as taking ...
A Machıne Learnıng Approach For The Detectıon Of Trade Based Manıpulatıons In Borsa İstanbul
(Fen Bilimleri Enstitüsü, 2022)
Capital markets, one of the pillars of the financial system, play a vital role in transferring the excess funds of savers to investors who need funds in the medium and long term. Trust is essential for the safe and effective ...
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 ...
Yerel Benzetim Modellerinde Kalabalığın Genel Gezinim Bilgisinin Kullanım Biçimlerinin ve Katkılarının Araştırılması
(Fen Bilimleri Enstitüsü, 2017)
Crowd navigation is one of the quite challenging problems in crowd simulation. Local navigation methods that consider each agent in crowd individually and plan their short term movements have been initially proposed for ...
A Decision Analysis Approach for Selecting Software Defect Prediction Method in the Early Phases
(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 ...
The Relationship of Cybersickness with Eye and Brain Activity in Response to Varying Speed, Scene Complexity and Stereoscopic VR Cues
(Fen Bilimleri Enstitüsü, 2022)
In this study, our aim is to make an evaluation of the interplay between environment-based cues, namely speed, scene complexity and stereoscopic rendering parameters, and the discomfort felt in the form of cybersickness ...
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 ...
Recognizing Human Actions from Images with Attention Mechanism
(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
(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 ...