A5026041687- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Remote Sensing and Land Use
- IoT Networks and Protocols
- Radiomics and Machine Learning in Medical Imaging
- Image Retrieval and Classification Techniques
- Recommender Systems and Techniques
- Indoor and Outdoor Localization Technologies
- Prostate Cancer Treatment and Research
- Image and Signal Denoising Methods
- Radiopharmaceutical Chemistry and Applications
- Power Systems Fault Detection
- Advanced Wireless Communication Technologies
- Digital Media Forensic Detection
- Optical Wireless Communication Technologies
- Medical Imaging Techniques and Applications
- Bluetooth and Wireless Communication Technologies
- Advanced Steganography and Watermarking Techniques
- Text and Document Classification Technologies
- Energy Harvesting in Wireless Networks
- IoT and Edge/Fog Computing
- Speech and Audio Processing
- Spectroscopy and Chemometric Analyses
- Advanced Malware Detection Techniques
- COVID-19 diagnosis using AI
Persian Gulf University
2016-2025
Sharif University of Technology
2022
University of Antwerp
2022
Bushehr University of Medical Sciences
2022
Islamic Azad University, Marvdasht
2017
National Iranian Oil Company (Iran)
2015
Ilam University
2005-2008
Power distribution networks (PDNs) has played a crucial role in expediting transition towards cleaner and better distributed energy sources. Nowadays, more generations (DGs) are used PDNs which complicates the automatic fault location. This article presents an accurate impedance-based method to determine location for smart PDN presence of DGs. In addition, phase domain equations line parameters enhance accuracy Two types considered. The first type network is assumed be fully observable with...
Faults in distribution networks occur unpredictably, causing a threat to public safety and resulting power outages. Automated, efficient, precise detection of faulty sections could be major element immediately restoring avoiding further financial losses. Distributed generations (DGs) are used smart have varied current levels internal impedances. However, fault characteristics completely unknown because their stochastic nature. Therefore, these circumstances, locating the might difficult. as...
Power distribution grids (PDGs) are one of the main parts electrical logistic chains with task transferring electricity to consumers continually. Adverse weather conditions, equipment failure, and human disruption can bring about PDGs faulty situations leading inevitable interrupting power consumption which results in financial losses. Therefore, it is vital locate spot accurately quickly. In this paper, an automatic deep learning framework implemented faults limited measurement requirements...
This paper studies the physical-layer security problem for mixed single-input multiple-output (SIMO) simultaneous wireless information and power transfer (SWIPT) based radio frequency (RF) free-space optical (FSO) communication systems. The FSO link experiences Málaga turbulence each RF suffers from Nakagami-m fading path loss. We consider one energy harvesting receiver in our system model that may act as a potential eavesdropper. More precisely, to investigate secrecy performance of...
Enabling precise device localization is a critical requirement for the future of industry. Leveraging signal features location determination has emerged as leading approach and good alternative Global Navigation Satellite Systems (GNSS) because their limitations (low accuracy indoor environments, expensive chips, high energy consumption). On this basis, to provide IoT in an industry with harsh environment, adopted wireless networks should have long-range coverage area. LoRaWAN (a low power...
ABSTRACT Metastatic brain tumors present significant challenges in diagnosis and treatment, contributing to high mortality rates worldwide. Magnetic resonance imaging ( MRI ) is a pivotal diagnostic tool for identifying assessing these tumors. However, accurate segmentation of images remains critical effective treatment planning prognosis determination. Traditional methods, including threshold‐based algorithms, often struggle with precisely delineating tumor boundaries, especially...
This study was conducted to evaluate the predictive values of volumetric parameters and radiomic features (RFs) extracted from pretreatment 68Ga-PSMA PET baseline clinical in response 177Lu-PSMA therapy.In this retrospective multicenter study, mCRPC patients undergoing therapy were enrolled. According outcome therapy, classified into two groups including positive biochemical (BCR) (≥ 50% reduction serum PSA value) negative BCR (< 50%). Sixty-five RFs, eight parameters, also seventeen...
Spectral mixture analysis (SMA) is an effective tool in recognition of unique spectral signatures materials called endmembers and estimating their percentage existence (abundance fractions). Most approaches designed endmember extraction process are established by applying the information dataset and, thus, tend to neglect existing spatial correlation between adjacent pixels. Although several preprocessing modules have been developed incorporating both properties prior spectral-based...
In this article, we study the security performance of a mixed radio frequency (RF)-free space optical (FSO) decode-and-forward (DF) relaying system with simultaneous wireless information and power transfer (SWIPT) technology. The RF channels experience Nakagami-m fading FSO channel suffers Málaga turbulence pointing errors. More precisely, derive analytical closed-form expressions for average secrecy capacity outage probability to investigate proposed RF-FSO communication framework energy harvesting
Recommender Systems (RS) are expected to suggest the accurate goods consumers. Cold start is most important challenge for RSs. Recent hybrid RSs combine ConF and ColF. We introduce an ontological RS where ontology has been employed in its part while improving structure by ColF part. In this paper, a new approach proposed based on combination of demographic similarity cosine between users order solve cold problem user type. Also, items item The main idea method expand user/item profiles...
In interpretation of remote sensing images, it is possible that some images which are supplied by different sensors become incomprehensible. For better visual perception these essential to operate series pre-processing and elementary corrections then a main processing steps for more precise analysis on the images. There several approaches depended type The discussed approach in this article, i.e. image fusion, use natural colors an optical adding color grayscale satellite gives us ability...
Mixed-pixel decomposition of a hyperspectral image is developed on the basis extracting unique constituent elements known as endmembers (EMs) and their abundance fraction estimation. Recently, integration spatial content spectral information applied by means several preprocessing modules (PPs) with purpose improving EM extraction (EE) accuracy decreasing EE time. In this letter, fast spatial-spectral module proposed, which determines purity score pixels located at spatially homogenous...
The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility wireless sensor networks for environmental traffic sensing across urban areas. In this study, we explore usage LoRaWAN end nodes as sensors to offer a practical management solution. monitored Received Signal Strength Indicator (RSSI) factor is reported and used in gateways assess environment. Our technique utilizes long-range communication technology provide large-scale system. work, present method using devices...
Remote sensing image processing is important area in geosciences. Images that are obtained by different types of sensors might be unrecognizable initially or would not contain useful information. To achieve a suitable visual perception images, series preprocessing for removing noises and essential corrections also better analysis main processes required, firstly. There kinds according to special remotely sensed images. The scheme we going introduce this article modified pseudo-color uses...