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Recent Submissions

MIMO asynchronous MAC with faster-than-Nyquist (FTN) signaling Zhang, Zichao; Yüksel Turgut, Ayşe Melda; Yanıkömeroğlu, Halim; Ng, Benjamin K.; Lam, Chan-Tong (2023-12-04)
Crowd Multi Prediction: Single Network for Crowd Counting, Localization and Anomaly Detection Coskun, Muhammet Furkan; Akar, Gözde (2023-01-01) In this study, we propose a neural network to solve crowd counting, localization and abnormal event detection problems together. Our proposed model combines P2P-Net with a novel crowd anomaly detection module. The final ne...
Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation Kayabasi, Alper; Tufekci, Gulin; Ulusoy, İlkay (2023-01-01) Few-shot segmentation aims to devise a generalizing model that segments query images from unseen classes during training with the guidance of a few support images whose class tally with the class of the query. There exist ...
Effects of Torso Inhomogeneities on Spontaneous PVC Localization in Potential and Dipole-Based Methods Rasoolzadeh, Nika; Ondrusova, Beata; Serinağaoğlu Doğrusöz, Yeşim; Svehlikov, Jana (2023-01-01) The use of electrocardiographic imaging for the localization of the undesired premature ventricular contraction needs a torso volume conductor definition. This study aims to investigate the specific effect of lung and bloo...
Improved Isolation Between Ports of MultiMode Antenna with a Reconfigurable Pattern by Decoupling Network Tonga, Muhammed; Alatan, Lale; Aydın Çivi, Hatice Özlem (2023-01-01) In this study, a decoupling network is designed and implemented to a concentric circular patch with a ring antenna whose two ports are strongly coupled. The ports of the antenna are excited with phase differences to have d...
Neural Network Modeling of Antennas on Package for 5G Applications Saçin, Ekin Su; Durgun, Ahmet Cemal (2023-01-01) The design and optimization of microwave devices require rigorous electromagnetic (EM) analysis requiring excessive computational resources. To mitigate this, neural network based machine learning methods can be used to ge...
A Compact Pattern Reconfigurable Antenna with 4 Different Radiation Modes Gök, Čaǧlar; Alatan, Lale (2023-01-01) This letter presents the design, fabrication, and measurements of a pattern reconfigurable antenna operating at 3.3 GHz. A circular patch in the center and a ring around it are excited by two feeds to obtain broadside and ...
Modeling, Simulation, and Control of a “Sensorless” Cable-Driven Robot DURMAZ, ATAKAN; Albayrak, Özlem; Ünal, Perin; Ankaralı, Mustafa Mert (2023-01-01) This paper focuses on the modeling, simulation, control, and experimental validation of a planar cable-driven robot system that operates on the vertical (x-z) plane. Cable-driven robots have recently gained significant att...
Design of Dielectric Structures with Nonuniform Holes Optimized for Backscattering Reduction Yazar, Şirin; Ergül, Özgür Salih (2023-01-01) We present design and optimization of three-dimensional dielectric structures that provide efficient backscattering reduction (BSR). Although BSR is a subject involved in a plethora of applications and is studied intensive...
Ön-Kodlayici, A Quantized Precoder for MIMO Nicemleme Altinda Çalişan bir MIMO Karabacakoǧlu, Yusuf; Üçüncü, Ali Bulut; Karataş, Firat; Güvensen, Gökhan Muzaffer (2023-01-01) Massive multiple-input multiple-output (MIMO) systems have become popular in both academic and industrial circles due to their ability to improve spectral and energy efficiency. One cost-effective way to implement these sy...
An Experimental Study of the Sample Complexity of Domain Adaptation Alan Uyarlamada Örnek Karmaşikliǧinin Deneysel Incelemesi Karaca, Huseyin; Akgül, Özlem; Arslan, Ömer Faruk; Aydemir, Atilla Can; Aydin, Firdevs Su; Ünsal, Enes Ata; Vural, Elif (2023-01-01) In this study, we experimentally investigate the sample complexity of semi supervised domain adaptation with deep neural networks. Sweeping the hyper-parameters of domain adaptation neural networks relying on the MMD dista...
Adaptive Mixture Model Reduction based on the Composite Transportation Dissimilarity D'Ortenzio, Alessandro; Manes, Costanzo; Iuliis, Vittorio De; Orguner, Umut (2023-01-01) Providing efficient yet accurate statistical models is a challenging problem in many applications. When elementary models are not sufficiently descriptive, mixtures of densities can be used. A complexity management issue a...
Fusion Enhanced Click-Through-Rate Prediction Füzyon Güçlendirmeli Tiklama Orani Tahmini Bayraktar, Murat; Gökce, Fatma Ceyda; Aksu, Dogukan; Altıngövde, İsmail Sengör; Karagöz, Pınar; Toroslu, İsmail Hakkı (2023-01-01) In this study, the effects of combining multiple models to increase the accuracy of Click-Through Rate (CTR) prediction, which is a critical task in online advertising, product marketing, and recommendation systems, have b...
Evaluation of Inverse Electrocardiography Solutions Based on Signal-Averaged Beats to Localize the Origins of Spontaneous Premature Ventricular Contractions in Humans Serinağaoğlu Doğrusöz, Yeşim; Rasoolzadeh, Nika; Ondrusova, Beata; Hlivak, Peter; Svehlikova, Jana (2023-01-01) The signal averaging approach applied to the clinical body surface potential measurements was studied and evaluated for localizing the spontaneous premature ventricular contractions (PVC) on the data of three patients. For...
Radar-Centric ISAC Through Index Modulation: Over-the-air Experimentation and Trade-offs Temiz, Murat; Peters, Nial J.; Horne, Colin; Ritchie, Matthew A.; Masouros, Christos (2023-01-01) This study experimentally demonstrates a radar-centric integrated sensing and communication (ISAC) system that exploits the radar transmission parameters as modulation indexes to communicate with the user devices while per...
Computational Design and Analysis of Beam-generating Shells with Elliptical Cavities Made of Near-Zero-Index Materials Eriş, Ö.; Ergül, Özgür Salih (2023-01-01) We present computational design and analysis of near-zero-index (NZI) shell structures with elliptical cavities, which can provide directional radiation characteristics when excited by isotropic sources. Alternative strate...
Optimization of AoII and QAoII in Multi-User Links Ayik, Muratcan; Ceran Arslan, Elif Tuğçe; Uysal, Elif (2023-01-01) We consider a network with multiple sources and a base station that send time-sensitive information to remote clients. The Age of Incorrect Information (AoII) captures the freshness of the informative pieces of status upda...
The Mutual Information In The Vicinity of Capacity-Achieving Input Distributions Cheng, Hao-Chung; Nakiboğlu, Barış (2023-01-01) The mutual information is analyzed as a function of the input distribution using an identity due to Topsoe for channels with (possibly multiple) linear constraints and finite input and output sets. The mutual information i...
A Low-Cost, Stable, and Accurate Method for Electromagnetic Characterization of 3D Printing Filaments Using 3D-Printed Waveguides for Microwave Applications Eriş, Ö.; Aydın Çivi, Hatice Özlem; Ergül, Özgür Salih (2023-01-01) We present a novel measurement approach to electromagnetic characterization of 3D printing filaments via Nicholson-Ross-Weir (NRW) method. In particular, we measure reflection and transmission coefficients of 3D-printed sa...
An AGC Algorithm for Multi-Area Power Systems in Network Splitting Conditions Temiz, Armagan; Güven, Ali Nezih (2023-01-01) This study aims to develop an Automatic Generation Control (AGC) algorithm that enhances load-frequency control performance for multi-Area power systems taking the network splitting conditions into account. The AGC algorit...

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