Výsledky vyhledávání - "Khaled Tarmissi"

Akademický článek

Joint Power Control and Phase Shift Design for Future PD-NOMA IRS-Assisted Drone Communications under Imperfect SIC Decoding

Autor: Saddam Aziz, Muhammad Irshad, Kallekh Afef, Heba G. Mohamed, Najm Alotaibi, Khaled Tarmissi, Mrim M. Alnfiai, Manar Ahmed Hamza

Publikováno v: Sensors, Vol 22, Iss 22, p 8603 (2022)

Intelligent reflecting surfaces (IRS) and power-domain non-orthogonal multiple access (PD-NOMA) have recently gained significant attention for enhancing the performance of next-generation wireless communications networks. More specifically, IRS can s

Externí odkaz: https://doaj.org/article/f5fc00ebe5284094a14828e4a64a8a49

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Akademický článek

Intelligent Reflecting Surfaces Enhanced Mobile Edge Computing: Minimizing the Maximum Computational Time

Autor: Mubashar Sarfraz, Haya Mesfer Alshahrani, Khaled Tarmissi, Hussain Alshahrani, Mohamed Ahmed Elfaki, Manar Ahmed Hamza, Ali Nauman, Tahir Khurshaid

Publikováno v: Sensors, Vol 22, Iss 22, p 8719 (2022)

Intelligent reflecting surfaces (IRS) and mobile edge computing (MEC) have recently attracted significant attention in academia and industry. Without consuming any external energy, IRS can extend wireless coverage by smartly reconfiguring the phase s

Externí odkaz: https://doaj.org/article/9bd6298ddb1b461fbe9fd5f30851cb17

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Akademický článek

Aquila Optimization with Transfer Learning Based Crowd Density Analysis for Sustainable Smart Cities

Autor: Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen, Mohamed I. Eldesouki

Publikováno v: Applied Sciences, Vol 12, Iss 21, p 11187 (2022)

Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a spec

Externí odkaz: https://doaj.org/article/dde3fb3886f446b2b67a7baeb45b5f3b

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Akademický článek

Dwarf Mongoose Optimization with Machine-Learning-Driven Ransomware Detection in Internet of Things Environment

Autor: Khalid A. Alissa, Dalia H. Elkamchouchi, Khaled Tarmissi, Ayman Yafoz, Raed Alsini, Omar Alghushairy, Abdullah Mohamed, Mesfer Al Duhayyim

Publikováno v: Applied Sciences, Vol 12, Iss 19, p 9513 (2022)

The internet of things (ransomware refers to a type of malware) is the concept of connecting devices and objects of all types on the internet. IoT cybersecurity is the task of protecting ecosystems and IoT gadgets from cyber threats. Currently, ranso

Externí odkaz: https://doaj.org/article/7819493176cc4428995f47c02c5fe2f1

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Akademický článek

Computational Linguistics with Deep-Learning-Based Intent Detection for Natural Language Understanding

Autor: Hala J. Alshahrani, Khaled Tarmissi, Hussain Alshahrani, Mohamed Ahmed Elfaki, Ayman Yafoz, Raed Alsini, Omar Alghushairy, Manar Ahmed Hamza

Publikováno v: Applied Sciences, Vol 12, Iss 17, p 8633 (2022)

Computational linguistics explores how human language is interpreted automatically and then processed. Research in this area takes the logical and mathematical features of natural language and advances methods and statistical procedures for automated

Externí odkaz: https://doaj.org/article/31eb494c4d014d48b0ef778ddc91acc7

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Akademický článek

Planet Optimization with Deep Convolutional Neural Network for Lightweight Intrusion Detection in Resource-Constrained IoT Networks

Autor: Khalid A. Alissa, Fatma S. Alrayes, Khaled Tarmissi, Ayman Yafoz, Raed Alsini, Omar Alghushairy, Mahmoud Othman, Abdelwahed Motwakel

Publikováno v: Applied Sciences, Vol 12, Iss 17, p 8676 (2022)

Cyber security is becoming a challenging issue, because of the growth of the Internet of Things (IoT), in which an immense quantity of tiny smart gadgets push trillions of bytes of data over the Internet. Such gadgets have several security flaws, due

Externí odkaz: https://doaj.org/article/4199fc5be1984ebc981c3483884bd75c

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