Yearly Archives: 2022

Yüksek Lisans Tez Sunumları: Ziba Arghiani & Abdullah Erkam Arslan

Sunumlar peş peşe yapılacaktır. Danışman: Prof. Ergin Atalar Çarşamba, 14 Eylül, 2022 , 14:00   Join Zoom Meeting https://zoom.us/j/2510067074?pwd=cE5iaHI3VzFZMGI4WFoyTTBJdzd4Zz09 Meeting ID: 251 006 7074 Passcode: 782764   DRIVING MUTUALLY COUPLED COILS USING AN ARRAY OF CLASS-E AMPLIFIERS   Ziba Arghiani, Elektrik Elektronik Mühendisliği   Özet: Linear radiofrequency (RF) power amplifiers are commonly used in magnetic resonance imaging (MRI) to […]

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Yüksek Lisans Tez Sunumu: Abdallah Zaid Alkilani

A Deep Learning Model for Susceptibility Artifact Correction in Echo Planar Imaging    Abdallah Zaid Alkilani, M.S. Elektrik Elektronik Mühendisliği Danışman: Doç.Dr. Emine Ülkü Sarıtaş Eş Danışman: Doç.Dr. Prof. Tolga Çukur Tarih: Perşembe, 08 Eylül, 2022 Zaman: 11:00   Join Zoom Meeting https://zoom.us/j/2510067074?pwd=cE5iaHI3VzFZMGI4WFoyTTBJdzd4Zz09 Meeting ID: 251 006 7074 Passcode: 782764   Abstract: Diffusion Weighted Imaging […]

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Seminer Duyurusu: ”Optimal Partial Resection Problem”, Taghi Khaniyev

Konuşmacı: Taghi Khaniyev, Bilkent Üniversitesi Tarih ve Zaman: 3 Ağustos, 2022, Çarşamba 12:00. Yer: EA-409   Özet: Connectome is the representation of the structural connectivity (the physical wiring) and functional connectivity (interactions between different brain regions) of an organism’s nervous system as a mathematical network (a set of nodes and the connections between them). Recent […]

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Umram’dan Yeni bir makale: ”Task-Dependent Warping of Semantic Representations During Search for Visual Action Categories”

Mo Shahdloo, Emin Çelik, Burcu A. Ürgen, Jack L. Gallant and Tolga Çukur have published a new article titled ”Task-Dependent Warping of Semantic Representations During Search for Visual Action Categories”. From Dr. Tolga Çukur: ”In this collaborative effort with Burcu Ayşen Ürgen, PhD, we report the first evidence for a dynamic attentional mechanism during visual search for action categories, which […]

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UMRAM’dan yeni bir makale: ”Named-entity recognition in Turkish legal texts”

KocLab’s work on legal named-entity recognition (legal-NER) for Turkish texts is now out at Natural Language Engineering! Computational law, mostly based on natural language processing (NLP) and machine learning, has recently gained significant interest due to the technological improvements, abundance of legal texts, and increasing demand from legal professionals for technology. Computational law is an […]

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