• Characterization and biological evaluation of crataegus azarolus fruit polysaccharides 

  Bensaci, Narimen; Abdi, Akila; Aziza, Haifa Ben; Aouadi, Saoudi (Elsevier B.V., 2022)

  The polysaccharide obtained from Crataegus azarolus fruit, by water extraction followed by ethanol precipitation and fractionation using copper complex, shows physiological activities: prebiotic and antioxidant. The total ...

• Explainable artificial intelligence through graph theory by generalized social network analysis-based classifier 

  Üçer, Serkan; Özyer, Tansel; Alhajj, Reda (Nature Portfolio, 2022)

  We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques. In a previous study, we employed social network analysis techniques and introduced ...

• Light field extraction from a conventional camera 

  Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (Elsevier B.V., 2022)

  This paper presents a single-shot light field (LF) acquisition method using a conventional camera. The proposed method does not require any modification in the camera design and instead involves an offline calibration ...

• A new ratio-metric pH probe, "ThiAKS Green" for live-cell pH measurements 

  Akyol, Ali; Baykal, Doruk; Akdağ, Akın; Şensoy, Özge; Son, Cağdaş Devrim (Springer, 2023)

  Deviation of the H+ concentration from optimum values within the organelles is closely associated with irregular cellular functions that cause the onset of various diseases. Therefore, determining subcellular pH values in ...

• PL-GAN: Path loss prediction using generative adversarial networks 

  Marey, Ahmed; Bal, Mustafa; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)

  Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational ...

• Convex hull in brain tumor segmentation 

  Sailunaz, Kashfia; Beştepe, Deniz; Alhajj, Sleiman; Özyer, Tansel; Rokne, Jon; Alhajj, Reda (Springer Science and Business Media Deutschland GmbH, 2022)

  Tumors are the second leading cause of death. Among the tumors, brain tumors constitute one of the most complex tumor categories with a high mortality rate. Therefore, brain tumor detection and segmentation from non-invasive ...

• Integrated methodology for evaluating the efficiency of airports: A case study in Turkey 

  Kaya, Gizem; Aydın, Umut; Karadayı, Melis Almula; Ülengin, Füsun; Ülengin, Burç; İçken, Ayhan (Elsevier Ltd, 2022)

  Airports play an important role in the economic development of countries. Efficiency analyses of airports are crucial for providing an important roadmap to airport authorities and for helping to benchmark their airports ...

• A prospective study to evaluate CO2 emission mitigation strategies for highway transportation 

  Gedik, Abdulgazi; Uslu, Özay; Lav, Abdullah Hilmi (Springer, 2022)

  Ranking as one of the largest mobility modes for passengers and freight, highway transportation globally accounts for huge amounts of fossil-based energy consumption and greenhouse gas emissions. Correspondingly, on-road ...

• Exploiting user diversity in OTFS transmission for beyond 5G wireless systems 

  Tusha, Armed; Althunibat, Saud; Hasna, Mazen O.; Qaraqe, Khalid; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2022)

  Orthogonal time frequency space (OTFS) modulation is a recent technology that offers a significant advantage on link reliability due to its strong delay-Doppler resilience. In classical cellular technology, overall system ...

• Physical layer authentication scheme in beamspace MIMO systems 

  Afeef, Liza; Furqan, Haji M.; Arslan, Hüseyin (Institute of Electrical and Electronics Engineers Inc., 2022)

  The broadcast nature of wireless communication makes it vulnerable to various security threats such as spoofing attacks. Physical layer (PL) authentication has emerged as a promising and powerful approach to secure future ...

• Common CP-OFDM transceiver design for low-complexity frequency domain equalization 

  Zegrar, Salah Eddine; Arslan, Hüseyin (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)

  Common cyclic prefix-orthogonal frequency-division multiplexing (CCP-OFDM) groups multiple OFDM symbols and uses one CP to protect them in slow time-variant channels. However, due to this particular design of CCP-OFDM ...

• Advances in quantitative analysis of astrocytes using machine learning 

  Labate, Demetrio; Kayasandık, Cihan Bilge (Wolters Kluwer Medknow Publications, 2023)

  Astrocytes, a subtype of glial cells, are starshaped cells that are involved in the homeostasis and blood flow control of the central nervous system (CNS). They are known to provide structural and functional support to ...

• Regression of large-scale path loss parameters using deep neural networks 

  Bal, Mustafa; Marey, Ahmed; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)

  Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ...

• Experimental and computational investigation of clustering behavior of cyclodextrin-perfluorocarbon inclusion complexes as effective histotripsy agents 

  Kaymaz, Betül; Mustafa, Waleed; Hall, Sarah; Vlaisavljevich, Eli; Şensoy, Özge; Yüksel Durmaz, Yasemin (American Chemical Society, 2022)

  Recently developed nanocones (NCs), which are inclusion complexes that are made up of cyclodextrins (CDs) and perfluorocarbons (PFCs), have shown promising results in nanoparticle-mediated histotripsy (NMH) applications ...

• Joint estimation of multiple RF impairments using deep multi-task learning 

  Aygül, Mehmet Ali; Memişoğlu, Ebubekir; Arslan, Hüseyin (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)

  Radio-frequency (RF) front-end forms a critical part of any radio system, defining its cost as well as communication performance. However, these components frequently exhibit non-ideal behavior, referred to as impairments, ...

• Cyclic Prefix (CP) jamming against eavesdropping relays in OFDM systems 

  Solaija, Muhammad Sohaib J.; Madni, Haji Muhammad Furqan Ahmed; Ankaralı, Zekeriyya Esat; Arslan, Hüseyin (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)

  Cooperative communication has been widely used to provide spatial diversity benefits for low-end user equipments, especially in ad hoc and wireless sensor networks. However, the lack of strong authentication mechanisms in ...

• Porous, columnar shaped iron rich oxide synthesis for lithium-ion batteries from metallurgical grade, domestic, high carbon ferro-chromium alloys 

  Gülcan, Mehmet Feryat; Karahan, Billur Deniz; Gürmen, Sebahattin (Elsevier Ltd, 2022)

  With this article, first time in the open literature, the synthesis, and the characterization of an anode material from a domestic, intermediate product (i.e. ferrochromium alloy) have been carried out. The presented ...

• Physical layer security for visible light communication in the presence of ISI and NLoS 

  Albayrak, Cenk; Arslan, Hüseyin; Türk, Kadir (Institute of Electrical and Electronics Engineers Inc., 2022)

  Visible light communication (VLC) is an important alternative and/or complementary technology for next generation indoor wireless broadband communication systems. In order to ensure data security for VLC in public areas, ...

• Energy and spectral-efficient lens antenna subarray design in MmWave MIMO Systems 

  Afeef, Liza; Mumcu, Gökhan; Arslan, Hüseyin (IEEE-Institute Electrical Electronics Engineers Inc, 2022)

  Lens antenna subarray (LAS) is one of the recently introduced technologies for future wireless networks that significantly improves the energy efficiency of multiple-input multiple-output (MIMO) systems while achieving ...

• An MCDM-based game-theoretic approach for strategy selection in higher education 

  Ekinci, Yeliz; Orbay, Benan Zeki; Karadayı, Melis Almula (Elsevier Science Inc., 2022)

  This study proposes a framework for universities and governments to select strategies by considering the strategic interactions. The strategic choices of universities and governments can be determined by analyzing the ...

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