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Nasal Dermoid Cyst with Sinus Tract Intranasal Bone: A Case Report

International Journal of Otolaryngology and Head & Neck Surgery 2024年第2期13卷 149-156页

作者： Sultan Kadasah Abdullah Alhelali Saud Aldhabaan abdulaziz Al Qahtani Abdullah Musleh Ali Alshahrani Shahd Dlboh Sahar Al-Otaibi Department of Surgery College of Medicine University of Bisha Bisha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Abha Children’s Hospital Abha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Armed Forces Southern Region Hospital Khamis Mushait Saudi Arabia Department of Surgery College of Medicine King Khalid University Abha Saudi Arabia College of Medicine King Khalid University Abha Saudi Arabia

Dermoid cysts are benign tumors originating from germ cells, which can form in various locations, including the nasal area in rare cases. They are of unknown exact etiology, but it is suggested that it is due to abnormal tissue migration during early embryonic development. Nasal dermoid cysts albeit rare, can present in various forms such as sinuses, fistulas, or intracranially extending tracts. They can be asymptomatic and incidentally discovered or present with a visible external mass or sinus that is either painful, infected or cosmetically concerning. If nasal dermoid cysts with an intra-nasal bone sinus tract are left untreated, they can lead to life-threatening complications. This report describes the case of a 6-year-old girl with a nasal dermoid cyst connected to a superficial punctum by an intra-nasal tract. She had undergone surgical excision of a nasal swelling previously diagnosed as a dermoid cyst. One year later, she returned to our clinic with a recurrence of the nasal swelling. Imaging tests revealed a nasal dermoid cyst with a tract extending to the nasal tip, without intracranial expansion. The cyst, along with the entire tract, was successfully removed surgically, and the postoperative follow-up indicated no complications. Histopathology confirmed the diagnosis of a dermoid cyst. This case underscores the significance of considering the dermoid tract in nasal cyst cases and the necessity of its complete removal to prevent recurrence.

关键词： Dermoid Cyst Nasal Sinus Sinus Tract Intranasal Bone Benign Tumor Congenital Anomaly

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Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

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Intelligent Automation & Soft Computing 2024年第2期39卷 353-379页

作者： Sohaib Latif M.Saad Bin Ilyas Azhar Imran Hamad Ali Abosaq abdulaziz Alzubaidi Vincent Karovic Jr. Department of Computer Science The University of ChenabGujrat50700Pakistan Department of Creative Technologies Air UniversityIslamabad42000Pakistan Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran66244Saudi Arabia Department of Computer Science Umm Alqura UniversityAlQunfudah28821Saudi Arabia Department of Information Systems Faculty of ManagementComenius University in BratislavaBratislava82005Slovakia

The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management *** has generated massive volumes of data and security,and data privacy risks are increasing with the advancement of technology and network *** access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF ***,conventional privacy preservation methods have high latency costs and overhead for resource-constrained *** machine learning approaches were also unable to detect denial-of-service(DoS)*** study introduced a novel decentralized and secure framework for blockchain *** avoid single-point OF failure,an accredited access control scheme is incorporated,combining blockchain with local peers to record each transaction and verify the signature to ***-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters,managing keys,and revoking users on the *** innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted,preventing the server from becoming *** proposed framework effectively controls access,safeguards data privacy,and reduces the risk of *** results depict that the suggested framework outperforms the results in terms of accuracy,precision,sensitivity,recall,and F-measure at 96.9%,98.43%,98.8%,98.43%,and 98.4%,respectively.

关键词： Machine learning internet of things blockchain data privacy security Industry 4.0

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Explainable Software Fault Localization Model: From Blackbox to Whitebox

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Computers, Materials & Continua 2022年第10期73卷 1463-1482页

作者： abdulaziz Alhumam Department of Computer Science College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-Ahsa31982Saudi Arabia

The most resource-intensive and laborious part of debugging is finding the exact location of the fault from the more significant number of code *** of machine intelligence models has offered the effective localization of *** models can precisely locate the faulty with more than 95%accuracy,resulting in demand for trustworthy models in fault *** and trustworthiness within machine intelligencebased software models can only be achieved via explainable artificial intelligence in Fault Localization(XFL).The current study presents a model for generating counterfactual interpretations for the fault localization model’s *** system approximations and disseminated presentation of input information may be achieved by building a nonlinear neural network *** demonstrates a high level of proficiency in transfer learning,even with minimal training *** proposed XFL would make the decisionmaking transparent simultaneously without impacting the model’s *** proposed XFL ranks the software program statements based on the possible vulnerability score approximated from the training *** model’s performance is further evaluated using various metrics like the number of assessed statements,confidence level of fault localization,and TopN evaluation strategies.

关键词： Software fault localization explainable artificial intelligence statement ranking vulnerability detection

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Solving Fractional Differential Equations via Fixed Points of Chatterjea Maps

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2617-2648页

作者： Nawab Hussain Saud M.alsulami Hind Alamri Department of Mathematics King Abdulaziz UniversityP.O.Box 80203Jeddah21589Saudi Arabia Department of Mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

In this paper,we present the existence and uniqueness of fixed points and common fixed points for Reich and Chatterjea pairs of self-maps in complete metric ***,we study fixed point theorems for Reich and Chatterjea nonexpansive mappings in a Banach space using the Krasnoselskii-Ishikawa iteration method associated withSλand consider some applications of our results to prove the existence of solutions for nonlinear integral and nonlinear fractional differential *** also establish certain interesting examples to illustrate the usability of our results.

关键词： Common fixed points Reich and Chatterjea mappings Krasnoselskii-Ishikawa iteration complete metric space Banach space integral equation nonlinear fractional differential equation

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Unilateral Choanal Atresia in Adults: A Case Series

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第3期13卷 187-193页

作者： Sultan Kadasah abdulaziz Al Qahtani Ghalib Al-Sayed Abdullah Al Helali Saud Aldhabaan Abdullah Musleh Ali Asiry Mohammed Asiri Shahd Dlboh Adnan Al-Malki Abdulsalam Alqhtani Mohammed Al-khulban Sahar Al-Otaibi Department of Surgery College of Medicine University of Bisha Bisha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Armed Forces Southern Region Hospital Khamis Mushait Saudi Arabia Department of Otolaryngology Head and Neck Surgery Abha Children&#8217s Hospital Abha Saudi Arabia Department of Surgery College of Medicine King Khalid University Abha Saudi Arabia Department of Otolaryngology Head and Neck Surgery Aseer Central Hospital Abha Saudi Arabia College of Medicine King Khalid University Abha Saudi Arabia

Choanal atresia (CA) is a rare occlusion of the posterior choanae. Unilateral cases have been reported more than bilaterally, and it’s more often right-sided in those patients. According to the literature, mixed bony-membranous atresia is the most common type. There is a high incidence of craniofacial and visceral anomalies associated with congenital choanal atresia. Therefore, investigation for associated congenital anomalies is an important step before the surgery. We report 2 cases of incidental finding of unilateral choanal atresia in a 21- and 17-year-old with nasal discharge being the only complaint in the former and nasal obstruction with headache in the latter. The patients were then scheduled for day-surgery as a case of choanal atresia for transnasal, endoscopic repair and posterior septectomy. The patients were discharged home on the same day with the absence of restenosis or other complications.

关键词： Choanal Atresia Nasal Obstruction Congenital Anomaly

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Edge-Cloud Computing for Scheduling the Energy Consumption in Smart Grid

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Computer Systems Science & Engineering 2023年第7期46卷 273-286页

作者： abdulaziz Alorf Department of Electrical Engineering College of EngineeringQassim UniversityBuraydah52571Saudi Arabia

Nowadays,smart electricity grids are managed through advanced tools and *** advent of Artificial Intelligence(AI)and network technology helps to control the energy *** advanced technologies can resolve common issues such as blackouts,optimal energy generation costs,and peakhours *** this paper,the residential energy demand has been investigated and optimized to enhance the Quality of Service(QoS)to *** energy consumption is distributed throughout the day to fulfill the demand in peak ***,an Edge-Cloud computing-based model is proposed to schedule the energy demand with reward-based energy *** model gives priority to consumer preferences while planning the operation of appliances.A distributed system using non-cooperative game theory has been designed to minimize the communication overhead between the edge ***,the allotment mechanism has been designed to manage the grid appliances through the edge *** proposed model helps to improve the latency in the grid appliances scheduling process.

关键词： Edge-cloud computing smart grid smart home energy scheduling non-cooperative game theory

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Estimating Usable-Security Through Hesitant Fuzzy Linguistic Term Sets Based Technique

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Computers, Materials & Continua 2022年第3期70卷 5683-5705页

作者： abdulaziz Attaallah Raees Ahmad Khan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia

The apparent contradiction between usability and security has been discussed in the literature for several *** continuous trade-off requires be acknowledging and handling whenever security solutions are ***,some progressive analysts point out that present security solutions are usually very difficult for several users,and they have expressed a willingness to simplify the security product user *** security is still mostly unexplored territory in computer *** we are all aware with security and usability on many levels,usable security has received little operational *** have recently focused primarily on usable *** consumers prefer to discard unsatisfactory solutions,attaining well-balanced degrees of both is a prerequisite for adequate *** should be examined from the viewpoint of security to be properly *** aim of this research study is to explore and discuss universally accepted and solutionindependent factors influencing the perceived usable-security of institutional *** integrated Hesitant Fuzzy Linguistic term sets based technique was chosen as the methodology,and the experts and academicians opinion were *** use of predetermined selection criteria resulted in the compilation of statistical findings and were used to determine the usable-security of five different instituational websites.

关键词： Usable security accessibility expert evaluation usability criteria fuzzy logic

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A Load-Fairness Prioritization-Based Matching Technique for Cloud Task Scheduling and Resource Allocation

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Computer Systems Science & Engineering 2023年第6期45卷 2461-2481页

作者： abdulaziz Alhubaishy Abdulmajeed Aljuhani College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina41411Saudi Arabia

In a cloud environment,consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and *** the other hand,Cloud Service Providers(CSPs)seek to maximize their profits by attracting and serving more consumers based on their resource *** literature has discussed the problem by considering either consumers’needs or CSPs’capabilities.A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task scheduling in a more efficient *** paper proposes a model that adopts a Multi-Criteria Decision Making(MCDM)method,called Analytic Hierarchy Process(AHP),to acquire the information of consumers’preferences and service providers’capabilities to prioritize both tasks and *** model also provides a matching technique to assign each task to the best resource of a CSP while preserves the fairness of scheduling more tasks for resources with higher *** experimental results prove the feasibility of the proposed model for prioritizing hundreds of tasks/services and CSPs based on a defined set of criteria,and matching each set of tasks/services to the best CSPS.

关键词： Task scheduling decision making cloud service selection matching techniques

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Deep Learning-Based Approach for Arabic Visual Speech Recognition

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Computers, Materials & Continua 2022年第4期71卷 85-108页

作者： Nadia H.alsulami Amani T.Jamal Lamiaa A.Elrefaei Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical Engineering Department Faculty of Engineering at ShoubraBenha UniversityCairo11629Egypt

Lip-reading technologies are rapidly progressing following the breakthrough of deep *** plays a vital role in its many applications,such as:human-machine communication practices or security *** this paper,we propose to develop an effective lip-reading recognition model for Arabic visual speech recognition by implementing deep learning *** Arabic visual datasets that have been collected contains 2400 records of Arabic digits and 960 records of Arabic phrases from 24 native *** primary purpose is to provide a high-performance model in terms of enhancing the preprocessing ***,we extract keyframes from our ***,we produce a Concatenated Frame Images(CFIs)that represent the utterance sequence in one single ***,the VGG-19 is employed for visual features extraction in our proposed *** have examined different keyframes:10,15,and 20 for comparing two types of approaches in the proposed model:(1)the VGG-19 base model and(2)VGG-19 base model with batch *** results show that the second approach achieves greater accuracy:94%for digit recognition,97%for phrase recognition,and 93%for digits and phrases recognition in the test ***,our proposed model is superior to models based on CFIs input.

关键词： Convolutional neural network deep learning lip reading transfer learning visual speech recognition

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Probe Attack Detection Using an Improved Intrusion Detection System

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Computers, Materials & Continua 2023年第3期74卷 4769-4784页

作者： abdulaziz Almazyad Laila Halman Alaa Alsaeed Department of Computer Engineering College of Computer ScienceKing Saud UniversityRiyadh11421Saudi Arabia

The novel SoftwareDefined Networking(SDN)architecture potentially resolves specific challenges arising from rapid internet growth of and the static nature of conventional networks to manage organizational business requirements with distinctive ***,such benefits lead to a more adverse environment entailing network breakdown,systems paralysis,and online banking fraudulence and *** one of the most common and dangerous threats in SDN,probe attack occurs when the attacker scans SDN devices to collect the necessary knowledge on system susceptibilities,which is thenmanipulated to undermine the entire ***,high performance,and real-time systems prove pivotal in successful goal attainment through feature selection to minimize computation time,optimize prediction performance,and provide a holistic understanding of machine learning *** the extension of astute machine learning algorithms into an Intrusion Detection System(IDS)through SDN has garnered much scholarly attention within the past decade,this study recommended an effective IDS under the Grey-wolf optimizer(GWO)and Light Gradient Boosting Machine(Light-GBM)classifier for probe attack *** InSDN dataset was employed to train and test the proposed IDS,which is deemed to be a novel benchmarking dataset in *** proposed IDS assessment demonstrated an optimized performance against that of peer IDSs in probe attack detection within *** results revealed that the proposed IDS outperforms the state-of-the-art IDSs,as it achieved 99.8%accuracy,99.7%recall,99.99%precision,and 99.8%F-measure.

关键词： GWO IDS InSDN LightGBM probe attack SDN

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