Výsledky vyhledávání - "Maryam Rastgarpour"

A Novel Sep-Unet Architecture of Convolutional Neural Networks to Improve Dermoscopic Image Segmentation by Training Parameters Reduction

Autor: Faezeh Sadeghi, Mohammad Taheri, Maryam Rastgarpour, Arash Sharifi

Publikováno v: International Journal of Artificial Intelligence. 9:39-48

Nowadays, we use dermoscopic images as one of the imaging methods in diagnosis of skin lesions such as skin cancer. But due to the noise and other problems, including hair artifacts around the lesion, this issue requires automatic and reliable segmen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abb0c8cc12a71f7c7fb118f777fe530d
https://doi.org/10.36079/lamintang.ijai-0902.405

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CNN-RDM: a new image processing model for improving the structure of deep learning based on representational dissimilarity matrix

Autor: Zahra Heydaran Daroogheh Amnyieh, Seyed Mohammad Jalal Rastegar Fatemi, Maryam Rastgarpour, Golnaz Aghaee Ghazvini

Publikováno v: The Journal of Supercomputing. 79:4266-4290

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::aa9e7bb969a5926de3f3efb3ea4706dc
https://doi.org/10.1007/s11227-022-04661-7

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Area-efficient HEVC core transform using multi-sized and reusable DCT architectures

Autor: Mohammad Jalal Rastegar Fatemi, Maryam Rastgarpour, Reza Younesi

Publikováno v: Multimedia Tools and Applications. 80:36249-36274

This paper presents an area-efficient and multi-sized DCT architecture for HEVC application. We exploit the commonality in the arithmetic units to increase the hardware reusability as well as reducing the hardware cost. To do so, the multiplexed-mult

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::422083dae987292b3bcf530bea846498
https://doi.org/10.1007/s11042-021-11357-2

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Mass classification of mammograms using fractal dimensions and statistical features

Autor: Maryam Rastgarpour, Samaneh Yazdani, Hamed Pezeshki, Arash Sharifi

Publikováno v: Multidimensional Systems and Signal Processing. 32:573-605

For classification of tumors in mammography, the major features are extracted from the segmented tumor. However, some details of the tumor margin, such as the spiculated parts, are eliminated in the segmentation step. The current study suggests a new

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6848d00da66c58396265c18c3f35df2d
https://doi.org/10.1007/s11045-020-00749-6

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Robust maximum power point tracking with a novel second order sliding mode controller

Autor: Maryam Rastgarpour, Javad Jafari Fesharaki, Zahra Heydaran Daroogheh Amnyieh, Mohammad Jalal Rastegar Fatemi, Vahid Jafari Fesharaki

Publikováno v: Transactions of the Institute of Measurement and Control. 43:1168-1175

This paper proposes a robust second order sliding mode controller as maximum power point tracking (MPPT) technique in a photovoltaic (PV) boost dc-dc converter with applications to stand-alone systems. The proposed method is independent respect to lo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ce0f7851734b22d43c6ca1fd181b21b9
https://doi.org/10.1177/0142331220968403

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Extraction of spiculated parts of mammogram tumors to improve accuracy of classification

Autor: Samaneh Yazdani, Arash Sharifi, Maryam Rastgarpour, Hamed Pezeshki

Publikováno v: Multimedia Tools and Applications. 78:19979-20003

Spiculated parts of masses are significant features to classify tumors in digital mammography; however, segmentation, which is used to extract the shape and contour of a tumor, eliminates them. To address this problem, the current study proposes a no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcee54a561a51b62850f00bdcfa7340c
https://doi.org/10.1007/s11042-019-7185-4

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Parkinson’s Disease Diagnosis Based on Vertical Ground Reaction Force Signals of Gait Using Deep Neural Network

Autor: Nader Jafarnia Dabanloo, Saeideh Masoumi, Maryam Rastgarpour

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030665005

Parkinson’s disease (PD) is one of the most common neurodegenerative disorders globally, and sometimes it takes a long time to diagnose. Therefore, it is essential to use a smart and accurate system to quickly diagnose it in the early stages and ch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::748a0b895285094a0ba4038f214fa303
https://doi.org/10.1007/978-3-030-66501-2_20

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Improving the Prediction of Cryptocurrencies Movement Using Adversarial Training

Autor: Maryam Rastgarpour, Milad Mohammad Alemansour

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030665005

Today, financial markets play a crucial role in managing order and advancing goals in communities worldwide. By increasing Internet usage by people around the world, a new concept of money (digital currency) has developed, followed by a new branch of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc3115a203309dcb5e33b32af46cc085
https://doi.org/10.1007/978-3-030-66501-2_23

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A Paradigm For The Application Of Cloud Computing In Mobile Intelligent Tutoring Systems

Autor: Hossein Movafegh Ghadirli and Maryam Rastgarpour

Nowadays, with the rapid growth of cloud computing, many industries are going to move their computing activities to clouds. Researchers of virtual learning are also looking for the ways to use clouds through mobile platforms. This paper offers a mode

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