Yapay Zekâ ve Endüstri 4.0 İlişkisinin Siber Güvenlik Perspektifinden Analizi
Öz
Anahtar Kelimeler
Kaynakça
- ABELE, E., CHRYSSOLOURİS, G., SİHN, W., METTERNİCH, J., ELMARAGHY, H., SELİGER, G., SİVARD, G., ELMARAGHY, W., HUMMEL, V., TİSCH, M., SEİFERMANN, S. (2017). Learning factories for future oriented research and education in manufacturing, CIRP Annals, 66(2) 803–826.
- ANTON A, EİROLA E, BJORK K, MİCHE Y, JOHNSON H, and LENDASSE A (2017) Brute-force Missing Data Extreme Learning Machine for Predicting Huntington’s Disease, PETRA’17 (Proceedings of the 10th International Conference on Pervasive Technologies Related to Assistive Environments), Pages 189-192.
- ARESOVA P., SOUKAL I., SVOBODOVA L., HEDVİCAKOVA M., JAVANMARDİ E., SELAMAT A., KREJCAR O., (2018) Consequences of Industry 4.0 in business and economics, Economics, 6, 46, 1–4, doi: 10.3390/
- ATEŞ E. C., BOSTANCİ E., GUZEL M. S. (2020) Security Evaluation of Industry 4.0: Understanding Industry 4.0 on the Basis of Crime, Big Data, Internet of Thing (IoT) and Cyber Physical Systems, Güvenlik Bilimleri Dergisi 9 (Special Issue) : 29-50 https://www.researchgate.net/publication/ 339642922
- CHİNA Daily. (2018) AI seen as driving force in industry 4.0. Retrieved from http://www.chinadaily.com.cn/a/201804/27/WS5ae29547a3105cdcf651ae80.html
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- DAWEİ, Liu, HU Anzi, and Lİ Gen (2018) Big Data Technology: Application and Cases. In Handbook of Blockchain, Digital Finance, and Inclusion. Amsterdam: Elsevier Inc., pp. 65–82.
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Ayrıntılar
Birincil Dil
Türkçe
Konular
-
Bölüm
Derleme
Yazarlar
Ahmet Efe
*
0000-0002-2691-7517
Türkiye
Yayımlanma Tarihi
30 Haziran 2021
Gönderilme Tarihi
11 Mayıs 2021
Kabul Tarihi
15 Haziran 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 8 Sayı: 1
Cited By
Dördüncü Endüstri Devrinde İşletmelerde Yapay Zekâ Uygulamaları Örnekleri Üzerine Nitel Bir Araştırma
İşletme
https://doi.org/10.57116/isletme.1521169İşletme Disiplininde Endüstri 4.0: Türkiye’de Hazırlanmış Lisansüstü Tez Çalışmaları Üzerine Bir Derleme
Bulletin of Economic Theory and Analysis
https://doi.org/10.25229/beta.1455518