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Modeling the development of infant imitation using inverse reinforcement learning
(IEEE, 2018-09)
Little is known about the computational mechanisms of how imitation skills develop along with infant sensorimotor learning. In robotics, there are several well developed frameworks for imitation learning or so called ...
Şebeke kaynaklı müşteri şikayetleri için akıllı teşhis ve çözüm sistemleri
(IEEE, 2016)
In the telecommunication sector, there exists a vast variety of protocol data (Such as ADR, IUCS, GB, IUPS, GN) produced by signaling systems. The data contains various information regarding network quality and performance. ...
Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance
(Elsevier, 2016-09)
Electronic word-of-mouth (eWOM) is often tracked in volume and valence metrics, but the topic of conversation may vary from the brand to its advertising to purchase statements. How do these different topics affect company ...
The generalized fractional Benjamin–Bona–Mahony equation: Analytical and numerical results
(Elsevier, 2020-08)
The generalized fractional Benjamin-Bona-Mahony (gfBBM) equation models the propagation of small amplitude long unidirectional waves in a nonlocally and nonlinearly elastic medium. The equation involves two fractional terms ...
Performance of the OZU speaker verification systems with the NIST SRE 2010 data in a multi-class scenario
(IEEE, 2012)
Konuşmacı doğrulama sistemlerinin başarımı tipik olarak ikili karar mekanizmasına dayanır. Yine de finans şirketlerinin çağrı merkezi gibi 100%’ e yakın kesinlik gerektiren uygulamalarda var olan sistemlerin ikili kararlarına ...
A literature review on inventory management in humanitarian supply chains
(Elsevier, 2016)
In this paper, we present a review and analysis of studies that focus on humanitarian inventory planning and management. Specifically, we focus on papers which develop policies and models to determine how much to stock, ...
Forecasting natural gas consumption in Istanbul using neural networks and multivariate time series methods
(TÜBİTAK, 2012)
The fast changes and developments in the world's economy have substantially increased energy consumption. Consequently, energy planning has become more critical and important. Forecasting is one of the main tools utilized ...
Finite element analysis in a cloud computing environment
(2019-01-04)
In this thesis, the challenges faced and lessons learned while establishing a large-scale high performance cloud computing service that enables online mechanical structural analysis and many other scientific applications ...
Ambient and elevated temperature mechanical behavior of a high strength aluminum alloy after cold deformation
(2016-01)
Nowadays, aluminum alloys in automotive and aerospace industries have assigned a noticeable portion in structural applications in comparison to many steel alloys. The aim of this study was to investigate the high-temperature ...
Spoofing attacks to i-vector based voice verification systems using statistical speech synthesis with additive noise and countermeasure
(IEEE, 2016)
Even though improvements in the speaker verification (SV) technology with i-vectors increased their real-life deployment, their vulnerability to spoofing attacks is a major concern. Here, we investigated the effectiveness ...
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