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582 results on '"Alshebeili, Saleh A."'

1. Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning

Author

Al-lahham, Anas, Theeb, Obaidah, Elalem, Khaled, Alshawi, Tariq A., and Alshebeili, Saleh A.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Ahead-of-time forecasting of the output power of power plants is essential for the stability of the electricity grid and ensuring uninterrupted service. However, forecasting renewable energy sources is difficult due to the chaotic behavior of natural energy sources. This paper presents a new approach to estimate short-term solar irradiance from sky images. The~proposed algorithm extracts features from sky images and use learning-based techniques to estimate the solar irradiance. The~performance of proposed machine learning (ML) algorithm is evaluated using two publicly available datasets of sky images. The~datasets contain over 350,000 images for an interval of 16 years, from 2004 to 2020, with the corresponding global horizontal irradiance (GHI) of each image as the ground truth. Compared to the state-of-the-art computationally heavy algorithms proposed in the literature, our approach achieves competitive results with much less computational complexity for both nowcasting and forecasting up to 4 h ahead of time., Comment: Published in MDPI Electronics Journal

Published
2023
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4. Efficient frameworks for statistical seizure detection and prediction

Author

Khalil, Ali Ahmed, El Sayeid, Mostafa I., Ibrahim, Fatma E., Khalaf, Ashraf A. M., Gemeay, Entessar, Kasem, Hossam, Khamis, Salah Eldeen A., El-Banby, Ghada M., El-Shafai, Walid, El-Rabaie, El-Sayed M., El-Fishawy, Adel S., Dessouky, Moawad I., El-Dokany, Ibrahim M., Alotaiby, Turkey, Alshebeili, Saleh A., and Abd El-Samie, Fathi E.

Published
2023
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6. Retrofitting FSO Systems in Existing RF Infrastructure: A Non-Zero Sum Game Technology

Author

Trichili, Abderrahmen, Ragheb, Amr, Briantcev, Dmitrii, Esmail, Maged A., Altamimi, Majid, Ashry, Islam, Ooi, Boon S., Alshebeili, Saleh, and Alouini, Mohamed-Slim

Subjects
Computer Science - Emerging Technologies
Abstract

Progress in optical wireless communication (OWC) has unleashed the potential to transmit data in an ultra-fast manner without incurring large investments and bulk infrastructure. OWC includes wireless data transmissions in three optical sub-bands; ultraviolet, visible, and infrared. This paper discusses installing infrared OWC, known as free space optics (FSO), systems on top of installed radio frequency (RF) networks for outdoor applications to benefit from the reliability of RF links and the unlicensed broad optical spectrum, and the large data rates carried by laser beams propagating in free space. We equally review commercially available solutions and the hardware requirements for RF and FSO technology co-existence. The potential of hybrid RF/FSO for space communication is further discussed. Finally, open problems and future research directions are presented.

Published
2021

8. QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection

Author

Chahid, Abderrazak, Albalawi, Fahad, Alotaiby, Turky Nayef, Al-Hameed, Majed Hamad, Alshebeili, Saleh, and Laleg-Kirati, Taous-Meriem

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition, Statistics - Machine Learning
Abstract

Epilepsy is a neurological disorder classified as the second most serious neurological disease known to humanity, after stroke. Localization of the epileptogenic zone is an important step for epileptic patient treatment, which starts with epileptic spike detection. The common practice for spike detection of brain signals is via visual scanning of the recordings, which is a subjective and a very time-consuming task. Motivated by that, this paper focuses on using machine learning for automatic detection of epileptic spikes in magnetoencephalography (MEG) signals. First, we used the Position Weight Matrix (PWM) method combined with a uniform quantizer to generate useful features. Second, the extracted features are classified using a Support Vector Machine (SVM) for the purpose of epileptic spikes detection. The proposed technique shows great potential in improving the spike detection accuracy and reducing the feature vector size. Specifically, the proposed technique achieved average accuracy up to 98\% in using 5-folds cross-validation applied to a balanced dataset of 3104 samples. These samples are extracted from 16 subjects where eight are healthy and eight are epileptic subjects using a sliding frame of size of 100 samples-points with a step-size of 2 sample-points

Published
2019

11. Cloud Computing - Architecture and Applications

Author

Sen, Jaydip, Zhao, Shanrong, Wang, Xiaoying, Zhang, Guojing, Yang, Mengqin, Wang, Jian, Long, Yun, Andreev, Sergey, Florea, Roman, Ometov, Aleksandr, Surak, Adam, Koucheryavy, Yevgeni, Ashraf, Muhammad Ahmad, Sethi, Waleed Tariq, Alfakhri, Abdullah, Alshebeili, Saleh, and Alasaad, Amr

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

In the era of Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such computing framework for large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. This book presents some critical applications in cloud frameworks along with some innovation design of algorithms and architecture for deployment in cloud environment. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities., Comment: Edited Volume published by Intech Publishers, Croatia, June 2017. 138 pages. ISBN 978-953-51-3244-8, Print ISBN 978-953-51-3243-1. Link: https://www.intechopen.com/books/cloud-computing-architecture-and-applications

Published
2017
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15. Development of an Integrated Communication and Sensing System Using Spread Spectrum and Photonics Technologies.

Author

Alzamil, Abdulrahman K., Sharawy, Mahmoud A., Almohimmah, Esam M., Ragheb, Amr M., Almaiman, Ahmed, and Alshebeili, Saleh A.

Subjects
BIT error rate, TELECOMMUNICATION systems, OPTICAL fibers, DEFENSIVE (Military science), PHOTONICS
Abstract

In the ever-evolving landscape of modern technology, integrating communication and sensing systems has become increasingly essential for a wide range of applications, from military and defense to autonomous vehicles and beyond. The integration offers a convergence of capabilities that enhances operational efficiency and provides adaptability in complex environments. In this paper, we develop, in simulation and experiment, an integrated communication and sensing system, exploring the cutting-edge utilization of spread spectrum and radio-over-fiber (RoF) photonic technologies. RoF technology inherits the benefits of optical fibers, which include low attenuation and longer reach distance compared to other media. First, we consider the integration of communication and sensing functions using a spread spectrum–binary phase-shift keying waveform. In this integrated system, the sensing function is performed using a radar system. The performance of the proposed system is evaluated in terms of the peak-to-sidelobe ratio of the radar correlator output and the bit error rate for the communication system. The results are obtained through extensive MATLAB simulations. Next, we consider the realization of the proposed integrated communication and sensing system using photonics technology. This phase commences with the utilization of specialized photonics-based software for extensive simulations at different fiber lengths, which is an essential foundational step toward the practical implementation of the proposed system using photonics. Lab experiments are also presented to validate the simulation results. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Efficient anomaly detection from medical signals and images

Author

Sedik, Ahmed, Emara, Heba M., Hamad, Asmaa, Shahin, Eman M., A. El-Hag, Noha, Khalil, Ali, Ibrahim, Fatma, Elsherbeny, Zeinab M., Elreefy, Mahmoud, Zahran, O., El-Khobby, Heba A., El Banby, Ghada M., Elwakeil, Mohamed, El-Shafai, Walid, Khalaf, Ashraf A. M., Rihan, Mohamed, Al-Nuaimy, Waleed, Taha, Taha E., Attia, Mahmoud A., El-Fishawy, Adel S., El-Rabaie, El-Sayed M., Dessouky, Moawad I., Messiha, Nagy W., Eldokany, Ibrahim M., Alotaiby, Turky N., Alshebeili, Saleh A., and Abd El-Samie, Fathi E.

Published
2019
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32. Enabling Block-Sparse Recovery in Photonics-Based Radars With Multi-Waveform Transmission

Author

Almohimmah, Esam M., Ragheb, Amr M., Almaiman, Ahmed, Aldayel, Omar S., and Alshebeili, Saleh A.

Abstract

This paper proposes a novel signal composed of multiple quasi-orthogonal waveforms, enabling the use of block-sparse recovery (BSR) in a photonics-based radar system. The radar system is built based on millimeter wave and radio-over-fiber technologies, with a central unit connected to a remote unit via optical fibers. The proposed radar signal is transmitted by the system, and a BSR technique is employed to reconstruct the target scene from the reflected signal. An ambiguity-function shaping algorithm is considered for the design of the new radar signal with good correlation properties. Additionally, an innovative method is proposed for constructing the measurement vector and building the dictionary from the designed quasi-orthogonal waveforms. This construction method reduces dictionary coherence and eliminates the need for a high-speed large-memory analog-to-digital converter at the receiver. Experimental and simulation investigations are conducted to evaluate the performance of the radar system employing BSR under different block sizes and fiber lengths. The root- mean-square error (RMSE) and probability of false alarm (PFA) are used as performance metrics. The results demonstrate that the BSR with the new proposed signal significantly enhances the radar system's resolution compared to the conventional matched filtering method. Furthermore, employing BSR with a block size of 3 reduces the RMSE and PFA by approximately 55% and 83%, respectively, compared to the traditional non-BSR method. The study also shows that optical fibers with lengths up to 80 km can be safely used to carry 28 GHz radar signal without introducing noticeable effects on the system's performance.

Published
2024
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39. Sharing and Compatibility Studies for IMT and DTTB Systems in the Sub-700 MHz UHF Band

Author

Alghaihab, Abdullah, primary, Ragheb, Amr M., additional, Falou, Ammar El, additional, Khan, Pervez Z., additional, Alhawas, Ibrahim Y., additional, Almanea, Moath M., additional, Maghrabi, Ayman, additional, Aljanoobi, Mohammad S., additional, Alabdulqader, Mohammed A., additional, Aljohani, Abdulah Jeza, additional, Muqaibel, Ali H., additional, Alouini, Mohamed-Slim, additional, and Alshebeili, Saleh A., additional

Published
2023
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