Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Serkan Saglam"'
Autor:
Serkan Saglam, Salih Bayar
Publikováno v:
IEEE Access, Vol 12, Pp 57225-57235 (2024)
This study explores the implementation of lightweight binary classification algorithms on low-cost Field-Programmable Gate Arrays (FPGAs) for medical image analysis. Recognizing the growing demand for efficient and accurate diagnostic tools in health
Externí odkaz:
https://doaj.org/article/4bac4793c44b41b993e8d6f116f312b7
Publikováno v:
2022 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2ce59d8b5b7ecf597107308342da149
https://doi.org/10.1109/sceecs54111.2022.9741052
https://doi.org/10.1109/sceecs54111.2022.9741052
Autor:
Serkan Saglam, Salih Bayar
Publikováno v:
2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6507f15840d233052c3685da3f1e2af
https://doi.org/10.1109/isfee51261.2020.9756173
https://doi.org/10.1109/isfee51261.2020.9756173
Publikováno v:
2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e36bff234f6582eba7679784c3dc0b0
https://doi.org/10.1109/isfee51261.2020.9756131
https://doi.org/10.1109/isfee51261.2020.9756131
Autor:
Serkan Sağlam, Sibel Akkaya Oy
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 12, Iss 1, Pp 348-364 (2024)
Bu çalışmada, iki eksenli güneş takip sistemi ile sabit eksenli fotovoltaik sistemlerinin tasarımı ve uzaktan izlenmesi sağlanmıştır. PV sistemler Samsun ili Bafra ilçesinde bulunan Bafra Mesleki ve Teknik Anadolu Lisesi içerisinde bulun
Externí odkaz:
https://doaj.org/article/dcd6192987624cd89dedc0c90c5c868e
Publikováno v:
2019 International Symposium on Advanced Electrical and Communication Technologies (ISAECT).
In this study, Field Programmable Gate Array (FPGA) implementation of Convolutional Neural Network (CNN) for classification of malaria diseased cell is done. The hardware is designed and implemented on Xilinx Zynq-7000 FPGA using Very High–Speed In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35297abc17160cc9f8276ff5b4a2de6f
https://doi.org/10.1109/isaect47714.2019.9069724
https://doi.org/10.1109/isaect47714.2019.9069724