Výsledky vyhledávání - "Ali H. Alenezi"

Akademický článek

Email Spam: A Comprehensive Review of Optimize Detection Methods, Challenges, and Open Research Problems

Autor: Ekramul Haque Tusher, Mohd Arfian Ismail, Md Arafatur Rahman, Ali H. Alenezi, Mueen Uddin

Publikováno v: IEEE Access, Vol 12, Pp 143627-143657 (2024)

Nowadays, emails are used across almost every field, spanning from business to education. Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk emails or unwanted emails, can harm users by wasting time and computing

Externí odkaz: https://doaj.org/article/6aaa904c69eb4bd482b2efaf1361fdf5

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Akademický článek

Framework for Optimized Resource Allocation in Multi-User, Multi-Service, Multi-Device Aerial Networks

Autor: Muhammad Irfan Mushtaq, Omer Chughtai, Yudong Zhang, Ali H. Alenezi, Nayef Alqahtani

Publikováno v: IEEE Access, Vol 12, Pp 54866-54878 (2024)

With the increasing prevalence of multi-user, multi-service, and heterogeneous multi-device environments, there is a need to address the imperative for efficient resource allocation in contemporary wireless networks, such as those involving unmanned

Externí odkaz: https://doaj.org/article/0e5f3ce7a61f41ee9e4ff55f7042cc35

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Akademický článek

Predicting Primary Sequence-Based Protein-Protein Interactions Using a Mercer Series Representation of Nonlinear Support Vector Machine

Autor: Omid Chatrabgoun, Alireza Daneshkhah, Mohsen Esmaeilbeigi, Nader Sohrabi Safa, Ali H. Alenezi, Arafatur Rahman

Publikováno v: IEEE Access, Vol 10, Pp 124345-124354 (2022)

The prediction of protein-protein interactions (PPIs) is essential to understand the cellular processes from a medical perspective. Among the various machine learning techniques, kernel-based Support Vector Machine (SVM) has been commonly employed to

Externí odkaz: https://doaj.org/article/0ba72311d35943008e3280d44cda10ae

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Akademický článek

Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles

Autor: Abu Jafar Md Muzahid, Syafiq Fauzi Kamarulzaman, Md. Arafatur Rahman, Ali H. Alenezi

Publikováno v: IEEE Access, Vol 10, Pp 43303-43319 (2022)

Vehicle control in autonomous traffic flow is often handled using the best decision-making reinforcement learning methods. However, unexpected critical situations make the collisions more severe and, consequently, the chain collisions. In this work,

Externí odkaz: https://doaj.org/article/11602416e0804db7819e54f8015cd8ea

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MediaFlow: Multicast Routing and In-Network Monitoring for Professional Media Production

Autor: Ammar Latif, Rahul Parameswaran, Sachin Vishwarupe, Abdallah Khreishah, Yaser Jararweh, Ali H. Alenezi

Publikováno v: IEEE Transactions on Network and Service Management. 19:1862-1875

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ccf5d62938bcc9e4f69547dd4ba6fee8
https://doi.org/10.1109/tnsm.2022.3155169

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Multiple vehicle cooperation and collision avoidance in automated vehicles: survey and an AI-enabled conceptual framework

Autor: Abu Jafar Md Muzahid, Syafiq Fauzi Kamarulzaman, Md Arafatur Rahman, Saydul Akbar Murad, Md Abdus Samad Kamal, Ali H Alenezi

Publikováno v: Scientific Reports. 13

Prospective customers are becoming more concerned about safety and comfort as the automobile industry swings toward Automated Vehicles (AVs). A comprehensive evaluation of recent AVs collision data indicates that modern automated driving systems are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bebac856ffba345e9515be923ae68738
https://doi.org/10.1038/s41598-022-27026-9

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Adaptive Control of IoT/M2M Devices in Smart Buildings using Heterogeneous Wireless Networks

Autor: Rania Djehaiche, Salih Aidel, Ahmad Sawalmeh, Nasir Saeed, Ali H. Alenezi

With the rapid development of wireless communication technology, the Internet of Things (IoT) and Machine-to-Machine (M2M) are becoming essential for many applications. One of the most emblematic IoT/M2M applications is smart buildings. The current B

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d208ff6f05282a5c9fa5bb26e1f61384

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Efficient Data Collection in UAV-Assisted Cluster-Based Wireless Sensor Networks for 3D Environment: Optimization Study

Autor: Amjad Abu-Baker, Hazim Shakhatreh, Ahmad Sawalmeh, Ali H. Alenezi

Publikováno v: Journal of Sensors.

Unmanned aerial vehicles (UAVs) have been recently employed in combination with wireless sensor networks (WSNs) to collect data efficiently and improve surveillance effectiveness. This integration enhances the WSN infrastructure where UAVs are used a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1289f61d8dd1c7e41faf3774f6a8923

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Optimal drill string design for acoustic borehole communication

Autor: Ali H. Alenezi

Publikováno v: International Journal of ADVANCED AND APPLIED SCIENCES. 8:96-103

The acoustic telemetry used the drill string as a communication channel, which allows data transfer without interrupting drilling operations. This technology suffers from stop-bands that reduce the feasible bands for transmission up to 60 percent. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56fb0115025e9b397e20653e02657a22
https://doi.org/10.21833/ijaas.2021.11.013

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