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Toplam kayıt 29, listelenen: 1-10
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 ...
Evaluatıng the Use of Neural Rankıng Methods in Search Engınes
(Fen Bilimleri Enstitüsü, 2022)
A search engine strikes a balance between effectiveness and efficiency to retrieve the best documents in a scalable way. Recent deep learning-based ranker methods prove effective and improve state of the art in relevancy ...
Benchmarkıng Hındsıght Experıence Replay Reınforcement Learnıng Methods On Vehıcle Parkıng Envıronment
(Fen Bilimleri Enstitüsü, 2022-01)
In the age we live in, both passenger transportation and freight transportation are of great importance. Parking the vehicles when they reach the target point is challenging for both humans and automatic parking systems. ...
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, ...
Offensive Language Detection in Turkish Twitter Data with BERT Models
(Fen Bilimleri Enstitüsü, 2022)
As insulting statements become more frequent on online platforms, these negative statements create a reaction and disturb the peace of society. Identifying these expressions as early as possible is important to protect the ...
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 ...
Optımızatıon Methodology For Applıcatıon Mappıng In Wıreless Network-On-Chıp
(Fen Bilimleri Enstitüsü, 2022)
Network-on-Chip is a novel communication technology that has replaced the traditional bus-based or point-to-point communication methods between the electronic components to allow for faster and more energy-efficient ...
Eşler Arası Ağlarda Makine Öğrenimi Destekli Tutarlılık Temelli Güven Yönetimi
(Fen Bilimleri Enstitüsü, 2022-08-01)
Peer-to-peer (P2P) networks first emerged with file sharing and distribution applications. P2P networks continue their popularity with new usage areas such as cryptocurrencies, NFTs, and metaverse platforms. While peer-to-peer ...
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 ...
A Sample Verification and Validation Framework for Open Source Simulation Software
(Fen Bilimleri Enstitüsü, 2022)
Verification and Validation (V&V) activities performed in the life cycle of a software project are necessary to meet technical specifications and requirements. Likewise, V&V activities in a simulation project's life cycle ...