Zobrazeno 1 - 10
of 2 492
pro vyhledávání: '"Akçakaya, A."'
Autor:
Yun, Junno, Akçakaya, Mehmet
Infrared (IR) imaging is commonly used in various scenarios, including autonomous driving, fire safety and defense applications. Thus, semantic segmentation of such images is of great interest. However, this task faces several challenges, including d
Externí odkaz:
http://arxiv.org/abs/2412.05341
Physics-driven deep learning (PD-DL) approaches have become popular for improved reconstruction of fast magnetic resonance imaging (MRI) scans. Even though PD-DL offers higher acceleration rates compared to existing clinical fast MRI techniques, thei
Externí odkaz:
http://arxiv.org/abs/2411.13022
Autor:
Calatrava, Helena, Ranganathan, Aanjhan, Imbiriba, Tales, Schirner, Gunar, Akcakaya, Murat, Closas, Pau
This paper presents a radar target tracking framework for addressing main-beam range deception jamming attacks using random finite sets (RFSs). Our system handles false alarms and detections with false range information through multiple hypothesis tr
Externí odkaz:
http://arxiv.org/abs/2408.11361
Autor:
Alçalar, Yaşar Utku, Akçakaya, Mehmet
Diffusion models have emerged as powerful generative techniques for solving inverse problems. Despite their success in a variety of inverse problems in imaging, these models require many steps to converge, leading to slow inference time. Recently, th
Externí odkaz:
http://arxiv.org/abs/2407.11288
Autor:
Potter, Michael, Tang, Shuo, Ghanem, Paul, Stojanovic, Milica, Closas, Pau, Akcakaya, Murat, Wright, Ben, Necsoiu, Marius, Erdogmus, Deniz, Everett, Michael, Imbiriba, Tales
Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications. While information theory has shown promise in optimizing sensor placement, many studies oversimplify sensor measureme
Externí odkaz:
http://arxiv.org/abs/2405.18999
Autor:
Riek, Nathan T., Akcakaya, Murat, Bouzid, Zeineb, Gokhale, Tanmay, Helman, Stephanie, Kraevsky-Philips, Karina, Ji, Rui Qi, Sejdic, Ervin, Zègre-Hemsey, Jessica K., Martin-Gill, Christian, Callaway, Clifton W., Saba, Samir, Al-Zaiti, Salah
In this paper we describe ECG-SMART-NET for identification of occlusion myocardial infarction (OMI). OMI is a severe form of heart attack characterized by complete blockage of one or more coronary arteries requiring immediate referral for cardiac cat
Externí odkaz:
http://arxiv.org/abs/2405.09567
Autor:
Potter, Michael, Akcakaya, Murat, Necsoiu, Marius, Schirner, Gunar, Erdogmus, Deniz, Imbiriba, Tales
Radar Automated Target Recognition (RATR) for Unmanned Aerial Vehicles (UAVs) involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition on the received radar echo, crucial for defense and aerospace applications. Previo
Externí odkaz:
http://arxiv.org/abs/2402.17987
Autor:
Gu, Hongyi, Zhang, Chi, Yu, Zidan, Rettenmeier, Christoph, Stenger, V. Andrew, Akçakaya, Mehmet
Functional MRI (fMRI) is an important tool for non-invasive studies of brain function. Over the past decade, multi-echo fMRI methods that sample multiple echo times has become popular with potential to improve quantification. While these acquisitions
Externí odkaz:
http://arxiv.org/abs/2312.05707
In a multi-speaker "cocktail party" scenario, a listener can selectively attend to a speaker of interest. Studies into the human auditory attention network demonstrate cortical entrainment to speech envelopes resulting in highly correlated Electroenc
Externí odkaz:
http://arxiv.org/abs/2307.08501
Autor:
Adem AKÇAKAYA
Publikováno v:
Bezmiâlem Science, Vol 12, Iss 4, Pp 491-497 (2024)
The liver is the largest internal organ in the body and has vital functions such as metabolism, elimination of toxins, and bile production. Liver diseases include various conditions that affect the functions of this organ. The most common liver disea
Externí odkaz:
https://doaj.org/article/0b10040c5fca471bb531f88d67e0dbdb
