Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Tahir Çetin AKINCI"'
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 14, Iss 1, Pp 67-76 (2008)
Bu çalışmada, jeofizik verilerin analizinde yaygın olarak kullanılan Fourier dönüşümü ile dalgacık dönüşümü arasında bir kıyaslama yapılmıştır. Dalgacık yöntemiyle görüntü işleme, görüntü iyileştirme, gürültü analiz
Externí odkaz:
https://doaj.org/article/85423edca267455d990d3b8d839de0b7
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 14, Iss 1, Pp 67-76 (2008)
In this study, it was compared Fourier Transformation using widely in analysing of geophysics data and image processing and Wavelet Transformation using in image processing, boundary analysis and recently years in use geophysical data analysis. It wa
Externí odkaz:
https://doaj.org/article/4bc0495d225a49a7b5c83a38700818be
Ferroresonance is an electrical phenomenon in nonlinear character, which frequently occurs in power system due to transmission line faults and single or more-phase switching on the lines as well as usage of the saturable transformers. In this study,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f9cc0d5ded17560acf1ec1525efb45
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Oct2019, Vol. 618 Issue 1, p1-1, 1p
Publikováno v:
Electrotechnical Review / Elektrotehniski Vestnik. 2017, Vol. 84 Issue 4, p195-199. 5p.
Autor:
Zdzisław Gosiewski, Zbigniew Kulesza
Volume is indexed by Thomson Reuters BCI (WoS).The 108 peer reviewed papers on “Mechatronic Systems and Materials” are grouped as follows: I. Integrated Diagnostics; II. Failure Analysis; III. Tribology in Mechatronic Systems; IV. Signal and Imag
Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organizationKey FeaturesFamiliarize yourself with AI methods and approaches and see how they fit into cybersecurityL
This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep learning, and examines their applications across v
Autor:
Mohamed Arezki Mellal
Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It i
Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and bankin