Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Vahid Abolghasemi"'
Publikováno v:
Engineering Reports, Vol 6, Iss 9, Pp n/a-n/a (2024)
Abstract In recent years, automatic document and text analysis has gained significant importance, driven by advancements in optical character recognition (OCR) technology and the need for efficient processing of large volumes of printed or handwritte
Externí odkaz:
https://doaj.org/article/2adcd49a69b443748a73d62cfbaf09cd
Autor:
Sadjad Rezvani, Fatemeh Soleymani Siahkar, Yasin Rezvani, Abdorreza Alavi Gharahbagh, Vahid Abolghasemi
Publikováno v:
IEEE Access, Vol 12, Pp 121077-121092 (2024)
Restoring a high-quality image from a noisy version poses a significant challenge in computer vision, particularly in today’s context where high-resolution and large-sized images are prevalent. As such, fast and efficient techniques are required to
Externí odkaz:
https://doaj.org/article/87107460d3b94aff933c82501a5c1f27
Publikováno v:
IEEE Access, Vol 12, Pp 41056-41065 (2024)
In traditional motor current signature analysis (MCSA) approach, the spectral leakage of the fundamental supply frequency can obscure the characteristic fault component under low-load or no-load conditions. Furthermore, most time-frequency (TF) metho
Externí odkaz:
https://doaj.org/article/0c2a38c9cefe4ab29fc7d8cd3b852d52
Publikováno v:
IEEE Access, Vol 12, Pp 41381-41395 (2024)
As deep learning continues to evolve, we have observed huge breakthroughs in the fields of medical imaging, video and frame generation, optical character recognition (OCR), and other domains. In the field of data analysis and document processing, the
Externí odkaz:
https://doaj.org/article/5c0ba849e666490ebd8a93555c52313f
Publikováno v:
IET Science, Measurement & Technology, Vol 16, Iss 9, Pp 523-532 (2022)
Abstract In this paper, a new technique based on the manipulation of stator current signature for induction machines fault diagnosis is introduced. The goal of the proposed method is to demodulate the characteristic frequencies from supply frequency
Externí odkaz:
https://doaj.org/article/b90b6946dd3e4ff3b310684ffcc70ba2
Autor:
Mohammad Reza Qasemian Reyhan Abadi, Mohammad Hoseintabar Marzebali, Vahid Abolghasemi, Mohammad Hossein Anisi
Publikováno v:
IEEE Access, Vol 10, Pp 64933-64951 (2022)
In recent years, the use of electroporation process has attracted much attention, due to its application in various industrial and medical fields. Electroporation is a microbiology technique which creates tiny holes in the cell membrane by the applie
Externí odkaz:
https://doaj.org/article/54ad97f1721646628a6e7ac23b626d6d
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8927 (2023)
Melanoma is the deadliest type of cancerous cell, which is developed when melanocytes, melanin producing cell, starts its uncontrolled growth. If not detected and cured in its situ, it might decrease the chances of survival of patients. The diagnosis
Externí odkaz:
https://doaj.org/article/73d5851fca59461283ae4394894c8d2c
Publikováno v:
Energies, Vol 16, Iss 14, p 5551 (2023)
Condition monitoring of induction machines (IMs) with the aim of increasing the machine’s lifetime, improving the efficiency and reducing the maintenance cost is necessary and inevitable. Among different types of methods presented for mechanical an
Externí odkaz:
https://doaj.org/article/bb5953b3d3044779a49c979a50a8d147
Publikováno v:
IET Image Processing, Vol 14, Iss 15, Pp 3920-3931 (2020)
Optical character recognition, known as OCR, has been widely used due to high demand of different technologies. Currently, most existing OCR systems have been focused on Latin languages. In recent studies, OCR systems for non‐Latin texts involving
Externí odkaz:
https://doaj.org/article/ae70a4b879b8428286e9b6da2dd19581
Publikováno v:
Sensors, Vol 22, Iss 16, p 6261 (2022)
Recent years evidenced an increase in the total number of skin cancer cases, and it is projected to grow exponentially. This paper proposes a computer-aided diagnosis system for the classification of a malignant lesion, where the acquired image is pr
Externí odkaz:
https://doaj.org/article/723f42f22255486f86d387e38278a770