College of Engineering: Recent submissions
Now showing items 361-380 of 8754
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Finding the Best of Both Worlds: Faster and More Robust Top-k Document Retrieval
( Association for Computing Machinery, Inc , 2020 , Conference)Many top-k document retrieval strategies have been proposed based on the WAND and MaxScore heuristics and yet, from recent work, it is surprisingly difficult to identify the "fastest" strategy. This becomes even more ... -
AyaTEC: Building a Reusable Verse-Based Test Collection for Arabic Question Answering on the Holy Qur'an
( Association for Computing Machinery , 2020 , Article)The absence of publicly available reusable test collections for Arabic question answering on the Holy Qur'an has impeded the possibility of fairly comparing the performance of systems in that domain. In this article, we ... -
HBKU at TREC 2020: Conversational Multi-Stage Retrieval with Pseudo-Relevance Feedback
( National Institute of Standards and Technology (NIST) , 2020 , Conference)Passage retrieval in a conversational context is extremely challenging due to limited data resources. Information seeking in a conversational setting may contain omissions, implied context, and topic shifts. TREC CAsT ... -
Can We Build a Search Engine over Spark?
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Search engines have to deal with a huge amount of data in scalable and efficient ways to produce effective search results. In this paper, we address the problem of building an efficient and scalable experimental search ... -
Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking
( Association for Computing Machinery , 2020 , Conference)News background linking is the problem of finding online resources that can provide valuable context and background information to help the reader comprehend a given news article. While the problem has recently attracted ... -
bigIR at TREC 2019: Graph-based Analysis for News Background Linking
( National Institute of Standards and Technology (NIST) , 2019 , Conference)Nowadays, it is very rare to find an online news article that is self-contained with everything a reader would want to know about the article's story. Therefore, it became vital for any article to contain links to other ... -
bigIR at TREC 2020: Simple but Deep Retrieval of Passages and Documents
( National Institute of Standards and Technology (NIST) , 2020 , Conference)In this paper, we present the participation of the bigIR team at Qatar University in the TREC Deep Learning 2020 track. We participated in both document and passage retrieval tasks, and each of its subtasks, full ranking ... -
Simple but not naive: Fine-grained arabic dialect identification using only n-grams
( Association for Computational Linguistics (ACL) , 2019 , Conference)This paper presents the participation of Qatar University team in MADAR shared task, which addresses the problem of sentence-level fine-grained Arabic Dialect Identification over 25 different Arabic dialects in addition ... -
bigIR at CheckThat! 2020: Multilingual BERT for Ranking Arabic Tweets by Check-worthiness
( CEUR-WS , 2020 , Conference)This paper describes the third-year participation of our bigIR group at Qatar University in CheckThat! lab at CLEF. This year we participated only in Arabic Task 1 that focuses on detecting check-worthy tweets on a given ... -
Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights
( BioMed Central Ltd , 2024 , Article)The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric ... -
Quantifying Empathy in Virtual Reality: An Outline
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)The purpose of this paper is to provide an outline of the research undertaken hitherto on quantifying empathy in virtual reality (VR). In this paper we have discussed various methodologies used for testing the impact on ... -
Physical Layer Anti-jamming Technique Using Massive Planar Antenna Arrays
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)Wirelessly connected devices play a vital role in people's daily life, especially with the significant rise in the number of devices connected to the Internet and the huge data being generated everyday. However, the open ... -
Combating jamming attacks in multi-channel IoT networks using game theory
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ... -
On Accommodating VR Traffic for mHealth Applications in Rural Areas with Limited Impact on IoT Traffic
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)This paper investigates radio resource management for internet of things (IoT) networks with application to bandwidth constrained scenarios, e.g., in rural and under-privileged areas. An algorithm for efficient IoT resource ... -
IoT Anti-Jamming Strategy Using Game Theory and Neural Network
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2020 , Conference)The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ... -
On the Use of Quantum Communications for Securing IoT Devices in the 6G Era
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference)The Internet of Things (IoT) connects billions of machines that can interact with each other. IoT is one of the fastest-growing areas in the history of computing, and will continue in this direction in the 6G era. New ... -
6G Connectivity in Dense Indoor Environments using Beamforming and Frequency Allocation over IEEE 802.11ad
( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2021 , Conference)The upcoming 6G network is expected to support high data rate services combining the requirements of the 5G enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communications (URLLC) use cases, typically ... -
New Way to Generating and Simulation QKD
( Springer Nature , 2021 , Conference)Due to the necessity for using the security to the end-users, the conventional methods for security are not sufficient for the highly equipped attacker and new ways to violate security. Moreover, the quantum age is coming ... -
A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles
( Elsevier Ltd , 2023 , Article)Unmanned aerial vehicles (UAVs) are becoming more popular as they start to be utilized in many applications, such as surveillance, agriculture, and military. However, due to their limited battery capacity, a proper battery ... -
A Hybrid Deep Learning-Based (HYDRA) Framework for Multifault Diagnosis Using Sparse MDT Reports
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Diminishing viability of manual fault diagnosis in the increasingly complex emerging cellular network has motivated research towards artificial intelligence (AI)-based fault diagnosis using the minimization of drive test ...
