Search Results - "Alshanqiti, Abdullah"
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Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review
Published in Applied sciences (01-01-2021)“…The prediction of student academic performance has drawn considerable attention in education. However, although the learning outcomes are believed to improve…”
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Journal Article -
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Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification
Published in IEEE access (2020)“…Understanding, modeling, and predicting student performance in higher education poses significant challenges concerning the design of accurate and robust…”
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Journal Article -
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A Two-Phase Machine Learning Framework for Context-Aware Service Selection to Empower People with Disabilities
Published in Sensors (Basel, Switzerland) (08-07-2022)“…The use of software and IoT services is increasing significantly among people with special needs, who constitute 15% of the world’s population. However,…”
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Journal Article -
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Employing a Multilingual Transformer Model for Segmenting Unpunctuated Arabic Text
Published in Applied sciences (01-10-2022)“…Long unpunctuated texts containing complex linguistic sentences are a stumbling block to processing any low-resource languages. Thus, approaches that attempt…”
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Journal Article -
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A Double Obfuscation Approach for Protecting the Privacy of IoT Location based Applications
Published in IEEE access (01-01-2020)“…Connected vehicles and smart cars have become highly reliant on location-based services (i.e. LBS) to provide accurate, personalized and intelligent services…”
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Journal Article -
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A Survey of Interoperability Challenges and Solutions for Dealing With Them in IoT Environment
Published in IEEE access (2022)“…Interoperability is a functionality that facilitates integration amongst disparate devices and systems used by applications. Integration, inter-operability,…”
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Journal Article -
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A Comprehensive and Effective Framework for Traffic Congestion Problem Based on the Integration of IoT and Data Analytics
Published in Applied sciences (01-02-2022)“…Traffic congestion is still a challenge faced by most countries of the world. However, it can be solved most effectively by integrating modern technologies…”
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Journal Article -
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Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review
Published in Journal of ICT (01-01-2024)“…In IoT environment applications generate continuous non-stationary data streams with in-built problems of concept drift and class imbalance which cause…”
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Journal Article -
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Leveraging DistilBERT for Summarizing Arabic Text: An Extractive Dual-Stage Approach
Published in IEEE access (2021)“…Towards tackling the phenomenon of textual information overload that is exponentially pumping with redundancy over the Internet, this paper investigates a…”
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Journal Article -
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Service Selection Using an Ensemble Meta-Learning Classifier for Students with Disabilities
Published in Multimodal technologies and interaction (23-04-2023)“…Students with special needs should be empowered to use assistive technologies and services that suit their individual circumstances and environments to…”
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Journal Article -
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Extracting feature fusion and co-saliency clusters using transfer learning techniques for improving remote sensing scene classification
Published in Optik (Stuttgart) (01-02-2023)“…To attribute the semantics to land cover, scene classification of very high-resolution (VHR) imagery comprises many possible applications in diverse domains…”
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Inferring visual contracts from Java programs
Published in Automated software engineering (01-12-2018)“…Visual contracts model the operation of components or services by pre- and post-conditions formalised as graph transformation rules. They provide a precise…”
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Journal Article -
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A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges
Published in Computational intelligence and neuroscience (2023)“…Integrating smart heterogeneous objects, IoT devices, data sources, and software services to produce new business processes and functionalities continues to…”
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Journal Article -
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Evaluation of Recent Updates Regarding the Management of Resistant Hypertension
Published in Archives of pharmacy practice (01-07-2019)“…Background: Resistant hypertension is believed to affect around 10% of the general hypertensive population. It is a dangerous condition that should not be…”
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Inferring visual contracts from java applications
Published 01-01-2017“…Visual contracts model the operations of components or services by pre- and post-conditions formalised as graph transformation rules. They provide a precise…”
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Dissertation -
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Inferring visual contracts from Java applications
Published 01-01-2017“…Visual contracts model the operations of components or services by pre- and post-conditions formalised as graph transformation rules. They provide a precise…”
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Dissertation -
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Detecting DDoS Attack on SDN Due to Vulnerabilities in OpenFlow
Published in 2019 International Conference on Advances in the Emerging Computing Technologies (AECT) (01-02-2020)“…Software Defined Networking (SDN) is a network paradigm shift that facilitates comprehensive network programmability to cope with emerging new technologies…”
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Conference Proceeding -
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Extracting Visual Contracts from Java Programs (T)
Published in 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) (01-11-2015)“…Visual contracts model the operations of components or services by pre-and post-conditions formalised as graph transformation rules. They provide a precise…”
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Conference Proceeding -
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Web Design Scraping: Enabling Factors, Opportunities and Research Directions
Published in 2020 12th International Conference on Information Technology and Electrical Engineering (ICITEE) (06-10-2020)“…The number of online users accessing websites and consuming online services via their desktop and mobile browsers is on a constant rise. This paper coins and…”
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Conference Proceeding -
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Protecting Image-classifiers from Adversarial Attacks using an Adaptive Clustering Buffer-based Detection
Published in 2022 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) (18-12-2022)“…Endeavoring to defend image classifier models from query-based adversarial attacks, in this paper, we present a novel buffer-based defender that is adaptively…”
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Conference Proceeding