Singer identification model using data augmentation and enhanced feature conversion with hybrid feature vector and machine learning

Autor: Serhat Hizlisoy, Recep Sinan Arslan, Emel Çolakoğlu

Publikováno v: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-13 (2024)

Abstract Analyzing songs is a problem that is being investigated to aid various operations on music access platforms. At the beginning of these problems is the identification of the person who sings the song. In this study, a singer identification ap

Externí odkaz: https://doaj.org/article/b70c3c3c102944b1a296485a33ed55c9

FG-Droid: Grouping based feature size reduction for Android malware detection

Autor: Recep Sinan Arslan

Publikováno v: PeerJ Computer Science, Vol 8, p e1043 (2022)

Background The number of applications prepared for use on mobile devices has increased rapidly with the widespread use of the Android OS. This has resulted in the undesired installation of Android application packages (APKs) that violate user privacy

Externí odkaz: https://doaj.org/article/a2194ccbb6f745e1926e8b13447c0ce6

Karanlık ağ trafiğinin makine öğrenmesi yöntemleri kullanılarak tespiti ve sınıflandırılması

Autor: Mesut UĞURLU, İbrahim DOGRU, Recep Sinan ARSLAN

Publikováno v: Volume: 38, Issue: 3 1737-1746
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi
Journal of the Faculty of Engineering and Architecture of Gazi University

Dijitalleşme ile suç dünyası da dijital bir hale gelmiştir ve internet üzerinden işlenen suçların sayısı her geçen gün artmaktadır. Siber suçlular ve saldırganlar kimliklerini gizlemek ve şifreli iletişim sağlamak için Karanlık A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::661d20e5b798c9ebd80618aec162de85
https://doi.org/10.17341/gazimmfd.1023147

Sensitive deep learning application on sleep stage scoring by using all PSG data

Autor: Recep Sinan Arslan, Hasan Ulutas, Ahmet Sertol Köksal, Mehmet Bakir, Bülent Çiftçi

Publikováno v: Neural Computing and Applications. 35:7495-7508

© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Polysomnography (PSG)-based sleep stage scoring is time-consuming and it suffers from variability in results. With the help of automated PSG scori

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::313b50b7f4f4e90f89a9cf89f4b2c4bb
https://doi.org/10.1007/s00521-022-08037-z

Sequencing by avidity enables high accuracy with low reagent consumption

Autor: Sinan Arslan, Francisco J. Garcia, Minghao Guo, Matthew W. Kellinger, Semyon Kruglyak, Jake A. LeVieux, Adeline H. Mah, Haosen Wang, Junhua Zhao, Chunhong Zhou, Andrew Altomare, John Bailey, Matthew B. Byrne, Chiting Chang, Steve X. Chen, Byungrae Cho, Claudia N. Dennler, Vivian T. Dien, Derek Fuller, Ryan Kelley, Omid Khandan, Michael G. Klein, Michael Kim, Bryan R. Lajoie, Bill Lin, Yu Liu, Tyler Lopez, Peter T. Mains, Andrew D. Price, Samantha R. Robertson, Hermes Taylor-Weiner, Ramreddy Tippana, Austin B. Tomaney, Su Zhang, Minna Abtahi, Mark R. Ambroso, Rosita Bajari, Ava M. Bellizzi, Chris B. Benitez, Daniel R. Berard, Lorenzo Berti, Kelly N. Blease, Angela P. Blum, Andrew M. Boddicker, Leo Bondar, Chris Brown, Chris A. Bui, Juan Calleja-Aguirre, Kevin Cappa, Joshua Chan, Victor W. Chang, Katherine Charov, Xiyi Chen, Rodger M. Constandse, Weston Damron, Mariam Dawood, Nicole DeBuono, John D. Dimalanta, Laure Edoli, Keerthana Elango, Nikka Faustino, Chao Feng, Matthew Ferrari, Keith Frankie, Adam Fries, Anne Galloway, Vlad Gavrila, Gregory J. Gemmen, James Ghadiali, Arash Ghorbani, Logan A. Goddard, Adriana Roginski Guetter, Garren L. Hendricks, Jendrik Hentschel, Daniel J. Honigfort, Yun-Ting Hsieh, Yu-Hsien Hwang Fu, Scott K. Im, Chaoyi Jin, Shradha Kabu, Daniel E. Kincade, Shawn Levy, Yu Li, Vincent K. Liang, William H. Light, Jonathan B. Lipsher, Tsung-li Liu, Grace Long, Rui Ma, John M. Mailloux, Kyle A. Mandla, Anyssa R. Martinez, Max Mass, Daniel T. McKean, Michael Meron, Edmund A. Miller, Celyne S. Moh, Rachel K. Moore, Juan Moreno, Jordan M. Neysmith, Cassandra S. Niman, Jesus M. Nunez, Micah T. Ojeda, Sara Espinosa Ortiz, Jenna Owens, Geoffrey Piland, Daniel J. Proctor, Josua B. Purba, Michael Ray, Daisong Rong, Virginia M. Saade, Sanchari Saha, Gustav Santo Tomas, Nicholas Scheidler, Luqmanal H. Sirajudeen, Samantha Snow, Gudrun Stengel, Ryan Stinson, Michael J. Stone, Keoni J. Sundseth, Eileen Thai, Connor J. Thompson, Marco Tjioe, Christy L. Trejo, Greg Trieger, Diane Ni Truong, Ben Tse, Benjamin Voiles, Henry Vuong, Jennifer C. Wong, Chiung-Ting Wu, Hua Yu, Yingxian Yu, Ming Yu, Xi Zhang, Da Zhao, Genhua Zheng, Molly He, Michael Previte

Publikováno v: Nature Biotechnology.

We present avidity sequencing, a sequencing chemistry that separately optimizes the processes of stepping along a DNA template and that of identifying each nucleotide within the template. Nucleotide identification uses multivalent nucleotide ligands

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::134ecc28f29d15d85c9ac30057097e39
https://doi.org/10.1038/s41587-023-01750-7