Dr. Öğr. Üyesi MURAT EMRE ERKOÇ

Makaleler 6

1. A comparative study of multi-objective optimization algorithms for sparse signal reconstruction

Erkoç M. E., Karaboğa N.

ARTIFICIAL INTELLIGENCE REVIEW , cilt.55, sa.4, ss.3153-3181, 2022 (SCI-Expanded, Scopus)

2. A novel sparse reconstruction method based on multi-objective Artificial Bee Colony algorithm

Erkoç M. E., Karaboğa N.

SIGNAL PROCESSING , cilt.189, 2021 (SCI-Expanded, Scopus)

3. Sparse signal reconstruction by swarm intelligence algorithms

ERKOÇ M. E., KARABOĞA N.

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH , cilt.24, sa.2, ss.319-330, 2021 (SCI-Expanded, Scopus)

4. Evolutionary algorithms for sparse signal reconstruction

ERKOÇ M. E., KARABOĞA N.

Signal, Image and Video Processing , cilt.13, sa.7, ss.1293-1301, 2019 (SCI-Expanded, Scopus)

5. Comparison of Reconstruction Algorithms for Sparse Signal Recovery from Noisy Measurement

Erkoç M. E., Özdemir G., Karaboğa N.

Majlesi Journal of Telecommunication Devices , cilt.7, sa.1, ss.17-21, 2018 (Hakemli Dergi)

6. Analysis of the Effects of the Frequency Band Values on the Performance of the Cosine Modulated Filter Bank Design

Özdemir G., Erkoç M. E., Karaboğa N.

Majlesi Journal of Telecommunication Devices , cilt.7, sa.7, ss.11-15, 2018 (Hakemli Dergi)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 9

1. Application of Classical Algorithm-Based Deep Learning Methods in Signal Processing

Erkoç M. E., Karaboğa N.

2025 33rd Signal Processing and Communications Applications Conference (SIU), İstanbul, Türkiye, 25 - 28 Haziran 2025, ss.1-4, (Tam Metin Bildiri)

2. Blok Tabanlı Sıkıştırılmış Algılama Metotlarının İncelenmesi ve Karşılaştırılması

ERKOÇ M. E., KARABOĞA N.

EEMKON 2019, 14 - 16 Kasım 2019, (Tam Metin Bildiri)

3. USING FPGA’S FOR EDUCATIONAL PURPOSES IN LOGIC LABORATORY

ÖZDEMİR G., ERKOÇ M. E., KARABOĞA N.

ICEMST-2018, International Conference on Education in Mathematics,Science and Technology, Muğla, Türkiye, 28 Nisan - 01 Mayıs 2018, (Özet Bildiri)

4. INTEGRATION OF PROGRAMMABLE HARDWARES TO ENGINEERING EDUCATION:FPGA’S

ERKOÇ M. E., ÖZDEMİR G., ÖZDEMİR U., KARABOĞA N.

ICEMST-2018, International Conference on Education in Mathematics, Science and Technology, Muğla, Türkiye, 28 Nisan - 01 Mayıs 2018, (Özet Bildiri)

5. Analysis of the Effect of the Stop Band and Transition Band Frequency Values on the Performance of the Filter Bank Design

ÖZDEMİR G., ERKOÇ M. E., KARABOĞA N.

International Advanced Researches and Engineering Congress, 16 - 18 Kasım 2017, (Tam Metin Bildiri)

6. Comparison of Minimization and Greedy Algorithms for Recovering Sparse Frequency Domain Signals

ERKOÇ M. E., KARABOĞA N.

International Workshop, ” Mathematical Methods in Engineering, MME-2017, 27 - 29 Nisan 2017, (Özet Bildiri)

7. Ayrık Dalgacık Analizi Ve Dalgacık Paket Analizi Yöntemlerini Kullanarak EEG Sinyalinde Gürültü Giderimi

ERKOÇ M. E., KARABOĞA N.

Otomatik Kontrol Ulusal Toplantısı (TOK 2016), Türkiye, 29 Eylül - 01 Ekim 2016, ss.165-168, (Tam Metin Bildiri)

8. EEG Sinyalindeki Gürültünün Giderilmesinde Ayrık Dalgacık Ve Ayrık Durağan Dalgacık Dönüşümlerinin Performanslarının İncelenmesi

ERKOÇ M. E., KARABOĞA N., Küçükgöz N.

Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu (ASYU2016), Türkiye, 29 Eylül - 01 Ekim 2016, (Tam Metin Bildiri)

9. Noise cancellation application of ECG signal using artificial bee colony algorithm

KOÇKANAT S., KOZA T., KARABOĞA N., ERKOÇ M. E.

2016 24th Signal Processing and Communication Application Conference, SIU 2016, Türkiye, 16 - 19 Mayıs 2016, (Tam Metin Bildiri)

Kitaplar 1

1. Multi-objective Sparse Signal Reconstruction in Compressed Sensing

Erkoç M. E., Karaboğa N.

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications , Serdar Carbas,Abdurrahim Toktas,Deniz Ustun, Editör, Springer, London/Berlin , Singapore, ss.373-396, 2021

Metrikler

Dr. Öğr. Üyesi MURAT EMRE ERKOÇ

Yayınlar & Eserler

1. A comparative study of multi-objective optimization algorithms for sparse signal reconstruction

2. A novel sparse reconstruction method based on multi-objective Artificial Bee Colony algorithm

3. Sparse signal reconstruction by swarm intelligence algorithms

4. Evolutionary algorithms for sparse signal reconstruction

5. Comparison of Reconstruction Algorithms for Sparse Signal Recovery from Noisy Measurement

6. Analysis of the Effects of the Frequency Band Values on the Performance of the Cosine Modulated Filter Bank Design

1. Application of Classical Algorithm-Based Deep Learning Methods in Signal Processing

2. Blok Tabanlı Sıkıştırılmış Algılama Metotlarının İncelenmesi ve Karşılaştırılması

3. USING FPGA’S FOR EDUCATIONAL PURPOSES IN LOGIC LABORATORY

4. INTEGRATION OF PROGRAMMABLE HARDWARES TO ENGINEERING EDUCATION:FPGA’S

5. Analysis of the Effect of the Stop Band and Transition Band Frequency Values on the Performance of the Filter Bank Design

6. Comparison of Minimization and Greedy Algorithms for Recovering Sparse Frequency Domain Signals

7. Ayrık Dalgacık Analizi Ve Dalgacık Paket Analizi Yöntemlerini Kullanarak EEG Sinyalinde Gürültü Giderimi

8. EEG Sinyalindeki Gürültünün Giderilmesinde Ayrık Dalgacık Ve Ayrık Durağan Dalgacık Dönüşümlerinin Performanslarının İncelenmesi

9. Noise cancellation application of ECG signal using artificial bee colony algorithm

1. Multi-objective Sparse Signal Reconstruction in Compressed Sensing

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Proje