output
20132026
most citedArtificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

173 citations

50 papers

eess.SP2026★ 16 cited

A Novel OFDM-FMCW Waveform for Low-Complexity Joint Sensing and Communication

Amir Bouziane, Salah Eddine Zegrar, Huseyin Arslan

With the advent of 6th Generation (6G) wireless networks, integrating Orthogonal Frequency Division Multiplexing (OFDM) and Frequency Modulated Continuous Wave (FMCW) waveforms pre…

eess.SP2026

Timing Misalignment and Its Impact on OTFS and Other Delay-Based Waveforms

Badr Eddine Ouakouak, Salah Eddine Zegrar, Hüseyin Arslan

The shift towards 6G wireless networks calls for advanced waveforms to support emerging applications such as ultra-reliable and massive machine-type communications. Among the propo…

eess.SP2026★ 1 cited

A Novel Coexistence Scheme for OFDM and OTFS Waveforms for Uplink in 6G Networks

Badr Eddine Ouakouak, Salah Eddine Zegrar, Hüseyin Arslan

The upcoming sixth generation (6G) wireless networks are designed to support advanced applications that the current air interface based on orthogonal frequency division multiplexin…

eess.SP2026

Backward-Compatible Tag-Based PHY Authentication for Secure WLAN Sensing

Dhia Elhak Zerrari, Amira Bendaimi, Hüseyin Arslan

Driven by ongoing standardization efforts, Wi-Fi sensing has recently emerged as a promising functionality within wireless local area networks (WLANs). However, due to the use of s…

eess.SP2026

CP-Aware OFDM-Based OOK Signaling

Badr Eddine Ouakouak, Salah Eddine Zegrar, Hüseyin Arslan

This letter addresses the challenge of cyclic prefix (CP) problem in orthogonal frequency division multiplexing (OFDM)-based on-off keying (OOK) generation for low-power Internet o…

eess.SP2026

HAP-Centric Flying Ad-Hoc Networks With Cell-Free Non-Terrestrial Connectivity

Muhammet Kırık, Liza Afeef, Halim Yanikomeroglu +1

High-altitude platforms (HAPs) are key enablers of next-generation non-terrestrial networks (NTNs), offering wide coverage, long endurance, and rapid deployment. Despite these adva…

cs.CL2026

The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales

Han-Jen Chang, Yasir Çatal, Angelika Wolman +5

Spoken language, whether produced by humans or large language models (LLM), unfolds over time with varying semantic content. However, we still lack simple, interpretable time-serie…

cs.LG2026

Auto-Unrolled Proximal Gradient Descent: An AutoML Approach to Interpretable Waveform Optimization

Ahmet Kaplan

This study explores the combination of automated machine learning (AutoML) with model-based deep unfolding (DU) for optimizing wireless beamforming and waveforms. We convert the it…

cs.CV2025★ 1 cited

Mask-to-Height: A YOLOv11-Based Architecture for Joint Building Instance Segmentation and Height Classification from Satellite Imagery

Mahmoud El Hussieni, Bahadır K. Güntürk, Hasan F. Ateş +1

Accurate building instance segmentation and height classification are critical for urban planning, 3D city modeling, and infrastructure monitoring. This paper presents a detailed a…

q-bio.QM2025★ 1 cited

Transformer-Based Hematological Malignancy Prediction from Peripheral Blood Smears in a Real-World Cohort

Muhammed Furkan Dasdelen, Ivan Kukuljan, Peter Lienemann +6

Peripheral blood smears remain a cornerstone in the diagnosis of hematological neoplasms, offering rapid and valuable insights that inform subsequent diagnostic steps. However, sin…

physics.optics2025★ 1 cited

Low-Frequency Scattering of TE and TM Waves by an Inhomogeneous Medium with Planar Symmetry

Farhang Loran, Ali Mostafazadeh, Cem Yetişmişoğlu

Stationary scattering of TE and TM waves propagating in an isotropic medium with planar symmetry is described by Bergmann's equation in one dimension. This is a generalization of H…

eess.SP2025

TinyML-Based Adaptive Pulse Shaping for Edge Intelligence in IoT/IIoT

Afan Ali

Edge intelligence in IoT and IIoT demands lightweight algorithms for data processing on resource-constrained devices. This paper introduces a novel adaptive pulse shape filter base…

eess.SP2025

Simultaneous Intrusion Detection and Localization Using ISAC Network

Usama Shakoor, Muhammad Bilal Janjua, Muhammad Sohaib J. Solaija +1

The rapid increase in utilization of smart home technologies has introduced new paradigms to ensure the security and privacy of inhabitants. In this study, we propose a novel appro…

cs.CV2024★ 3 cited

XPoint: A Self-Supervised Visual-State-Space based Architecture for Multispectral Image Registration

Ismail Can Yagmur, Hasan F. Ates, Bahadir K. Gunturk

Accurate multispectral image matching presents significant challenges due to non-linear intensity variations across spectral modalities, extreme viewpoint changes, and the scarcity…

eess.SP2024★ 4 cited

Optimal Joint Radar and Communication User Association in Cell-Free mMIMO Systems

Ahmed Naeem, El Mehdi Amhoud, Hüseyin Arslan

The cell-free massive multiple-input multiple-output (CF-mMIMO) systems are crucial for 6G development due to their high spectral efficiency and uniform user-experienced data rates…

math.RA2024★ 4 cited

S-J-Ideals: A Study in Commutative and Noncommutative Rings

Alaa Abouhalaka, Hatice Çay, Bayram Ali Ersoy

In this paper, we introduce the concept of S-J-ideals in both commutative and noncommutative rings. For a commutative ring R and a multiplicatively closed subset S, we show that ma…

eess.IV2024★ 22 cited

Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation

Hasan F. Ates, Suleyman Yildirim, Bahadir K. Gunturk

Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life i…

cs.CV2024★ 44 cited

Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

Ibrahim Ethem Hamamci, Sezgin Er, Chenyu Wang +27

Advancements in medical imaging AI, particularly in 3D imaging, have been limited due to the scarcity of comprehensive datasets. We introduce CT-RATE, a public dataset that pairs 3…

cs.HC2024★ 28 cited

Insights into mobile health application market via a content analysis of marketplace data with machine learning

Gokhan Aydin, Gokhan Silahtaroglu

Background Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-heal…

cs.IT2023★ 15 cited

Performance Analysis of OTSM under Hardware Impairments and Imperfect CSI

Abed Doosti-Aref, Christos Masouros, Xu Zhu +3

Orthogonal time sequency multiplexing (OTSM) has been recently proposed as a single-carrier waveform offering similar bit error rate to orthogonal time frequency space (OTFS) and o…

cs.LG2023★ 4 cited

Diagnosis of Covid-19 Via Patient Breath Data Using Artificial Intelligence

Ozge Doguc, Gokhan Silahtaroglu, Zehra Nur Canbolat +4

Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controll…

cs.LG2021★ 38 cited

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

Sarthak Pati, Siddhesh P. Thakur, İbrahim Ethem Hamamcı +39

Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms,…

math-ph2020★ 5 cited

The solutions of Dirac equation on the hyperboloid under perpendicular magnetic fields

D. Demir Kızılırmak, Ş. Kuru

In this study, firstly it is reviewed how the solutions of the Dirac-Weyl equation for a massless charge on the hyperboloid under perpendicular magnetic fields are obtained by usin…

eess.SP2020★ 22 cited

Reconfigurable intelligent surface (RIS): Eigenvalue Decomposition-Based Separate Channel Estimation

Salah Eddine Zegrar, Liza Afeef, Huseyin Arslan

Reconfigurable intelligent surface (RIS) has recently drawn significant attention in wireless communication technologies. However, identifying, modeling, and estimating the RIS cha…