Search Results - "2022 30th International Conference on Electrical Engineering (ICEE)"

User Identification Based on Hand Geometrical Biometrics Using Media-Pipe by Ghanbari, Sara, Ashtyani, Zahra Parvin, Masouleh, Mehdi Tale

“…The main objective of a hand-geometry-based user identification model consists in designing a method that could be implemented with a satisfactory trade-off…”
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Design of Dual Frequency Conformal Leaky-wave Holographic Antenna by Chaychizadeh, Mohammad Amin, Komjani, Nader

“…The main purpose of this paper is to design a dual-frequency conformal compact leaky-wave antenna. In the design process, three software (HFSS, MATLAB and CST)…”
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Brain Tumor Segmentation using Multimodal MRI and Convolutional Neural Network by Loghmani, Nazila, Moqadam, Roqaie, Allahverdy, Armin

“…Glioblastoma is the most common brain tumor with a high mortality rate. So, detecting the tumorous lesion and segmenting it into its subsets can be helpful to…”
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Performance Analysis of an UAV-assisted cognitive D2D communication-based Disaster Response Network by Firozjae, Hossein Mohammadi, Moghaddam, Javad Zeraatkar, Ardebilipour, Mehrdad

“…In this paper, we study an Unmanned Aerial Vehicle-assisted (UAV) cognitive Device-to-Device (D2D) communication-based Disaster Response Network (DRN) where…”
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Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels by Givkashi, Mohammad Hossein, Hadipour, Mahshid, PariZanganeh, Arezoo, Nabizadeh, Zahra, Karimi, Nader, Samavi, Shadrokh

“…Image inpainting is one of the most important ways to enhance corrupted digital images or pictures with missing pixels. For this purpose, different methods…”
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Slice-Aware Resource Calendaring in Cloud-based Radio Access Networks by Sasan, Zeinab, Khorsandi, Siavash

“…Network slicing has been introduced in 5G/6G networks to address the challenge of providing new services with different and sometimes conflicting requirements…”
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Synergy of Deep Learning and Artificial Potential Field Methods for Robot Path Planning in the Presence of Static and Dynamic Obstacles by Basiri, Mohammad Amin, Chehelgami, Shirin, Ashtari, Erfan, Masouleh, Mehdi Tale, Kalhor, Ahmad

“…In a fast-changing world we are in today, unmanned vehicles are displacing old, obsolete and frustrating tasks. Since unmanned vehicles are intended to work in…”
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Energy-Efficient Residue-to-Binary Conversion Based on a Modulo-Adder-Free Architecture by Majd, Kamalaldin Mozaffari, Molahosseini, Amir Sabbagh

“…This paper proposes a novel residue-to-binary converter for residue number system (RNS) based on the moduli set \{2^{n+\mathrm{k}},\…”
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Highly Efficient Implementation of Chaotic Systems Utilizing High-Level Synthesis Tools by Vaziri, Mobin, Jahanirad, Hadi

“…Nowadays, the application of chaotic systems in digital image encryption received considerable attention. Since these systems have non-linear and complex…”
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Model Predictive Control for a 3-DoF Suspended Cable Robot Based on Laguerre Functions by Khoshkam, Shiva, Khosravi, Mohammad A., FesharakiFard, Rasul

“…Taking advantages of Laguerre functions, this paper addresses model predictive control for a 3 degrees of freedom suspended parallel cable robot. The parallel…”
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Sparsity Domain Smoothing Based Thresholding Recovery Method for OFDM Sparse Channel Estimation by Bahonar, Mohammad Hossein, Zefreh, Reza Ghaderi, Amiri, Rouhollah

“…Due to the ever increasing data rate demand of beyond 5G networks and considering the wide range of Orthogonal Frequency Division Multipllexing (OFDM)…”
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Switched-Inductor Cuk and SEPIC Power Factor Correction Rectifiers by Pourmahdi, Maryam, Heydari-Doostabad, Hamed, Ghazi, Reza

“…This paper suggests two novel high step-down-up power factor correction active SEPIC/Cuk rectifiers. The main superiority of the proposed SEPIC/Cuk basde…”
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Combination of Classifiers to Detect Grade of Glioblastoma using MRS by Moqadam, Roqaie, Loghmani, Nazila, Mansoori, Meysam Syiah, Allahverdy, Armin

“…Glioma is classified into Low Grade Glioma and High Grade Glioma. Because of difference in patients' survival, it is important to classify patients into each…”
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A boosting based approach to handle imbalanced data by Mostafaei, Sahar Hassanzadeh, Tanha, Jafar, Samadi, Negin, Imanzadeh, Soodabeh, Razzaghi-Asl, Nazila

“…Most real-world datasets usually contain imbalanced data. Learning from datasets where the number of samples in one class (minority) is much smaller than in…”
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Non-Invasive Blood Pressure Estimation using Poincaré Plot Indices of Photoplethysmography Signals by Shoeibi, Fatemeh, Najafiaghdam, Esmaeil, Ebrahimi, Afshin

“…Blood pressure as a valid vital biological signal plays an essential role in prognosis of cardiovascular diseases. Considering the importance of preventative…”
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Application of Max Flow- Min Cut Theory To Find The Best Placement Of Electronic-based DC-PFCs For Enhancing Static Security In MT-HVDC Meshed Grids by Pourmirasghariyan, Mirhamed, Milimonfared, Jafar, Yazdi, Seyed Saeid Heidari, Biglo, Ali Haji Ali, Rouzbehi, Kumars

“…This paper proposes an approach for selecting an optimal placement and control variable setting by finding the worst contingencies for the recently proposed…”
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Compare of Machine Learning and Deep Learning Approaches for Human Activity Recognition by Moradi, Babak, Aghapour, Mohammad, Shirbandi, Afshin

“…Human-centered computing is an emerging research field that aims to understand human behavior and integrate users and their social context with computer…”
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An Investigation on Transfer Learning for Classification of COVID-19 Chest X-Ray Images with Pre-trained Convolutional-based Architectures by Nemati, Mobina Abdoli, BabaAhmadi, Amirreza

“…Medical image analysis techniques have been helpful for rapidly identifying COVID-19. Due to the difficulty of identifying critical visual features for many…”
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Joint User Association and UAV Location Optimization for Two-Tired Visible Light Communication Networks by Qazavi, Alireza, Tabataba, Foroogh S., Soorki, Mehdi Naderi

“…In this paper, an unmanned aerial vehicle (UAVs)-assisted visible light communication (VLC) has been considered which has two tiers: UAV-to-centroid and…”
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Transfer learning using deep convolutional neural network for predicting dementia severity by Asayesh, Vahid, Dehghani, Mahdi, Torabi, Majid, Akhtari-Khosroshahi, Sepideh

“…Dementia is a clinical syndrome that influences brain functions and comprises a range of diseases related to cognitive decline. Electroencephalography (EEG) is…”
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