College of Engineering: Recent submissions

Now showing items 41-60 of 7960

    • Predicting emergency department utilization among children with asthma using deep learning models 

      AlSaad, Rawan; Malluhi, Qutaibah; Janahi, Ibrahim; Boughorbel, Sabri ( Elsevier , 2022 , Article)
      Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at ...

    • Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation 

      AlSaad, Rawan; Malluhi, Qutaibah; Abd-alrazaq, Alaa; Boughorbel, Sabri ( Elsevier , 2024 , Article)
      Effective modeling of patient representation from electronic health records (EHRs) is increasingly becoming a vital research topic. Yet, modeling the non-stationarity in EHR data has received less attention. Most existing ...

    • Enclave-based oblivious RAM using Intel's SGX 

      Rachid, Maan Haj; Riley, Ryan; Malluhi, Qutaibah ( Elsevier , 2020 , Article)
      Oblivious RAM (ORAM) schemes exist in order to protect the access pattern of data in a data store. Under an ORAM algorithm, a client accesses a data store in such a way that does not reveal which item it is interested in. ...

    • Efficient sanitization of unsafe data correlations 

      AL Bouna, Bechara; Clifton, Chris; Malluhi, Qutaibah ( CEUR-WS , 2015 , Conference Paper)
      In this paper, we present a study to counter privacy violation due to unsafe data correlation. We propose a safe correlation requirement to keep correlated values bounded by l-diversity and evaluate the trade-off to be ...

    • PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks 

      AlSaad, Rawan; Malluhi, Qutaibah; Boughorbel, Sabri ( BioMed Central Ltd , 2022 , Article)
      Background: Early identification of pregnant women at risk for preterm birth (PTB), a major cause of infant mortality and morbidity, has a significant potential to improve prenatal care. However, we lack effective predictive ...

    • Updating outsourced anatomized private databases 

      Nergiz, Ahmet Erhan; Clifton, Chris; Malluhi, Qutaibah M. ( Association for Computing Machinery , 2013 , Conference Paper)
      We introduce operations to safely update an anatomized database. The result is a database where the view of the server satisfies standards such as k-anonymity or l-diversity, but the client is able to query and modify the ...

    • Privacy-preserving Deep-learning Models for Fingerprint Data using Differential Privacy 

      Mohammadi, Maryam; Sabry, Farida; Labda, Wadha; Malluhi, Qutaibah ( Association for Computing Machinery, Inc , 2023 , Conference Paper)
      Fingerprint recognition is a widely adopted biometric authentication method that leverages the unique characteristics of fingerprints to identify individuals. Its applications range from access control and authentication ...

    • LocationSpark: A distributed in-memory data management system for big spatial data 

      Tang, Mingjie; Yu, Yongyang; Malluhi, Qutaibah M.; Ouzzani, Mourad; Aref, Walid G. ( VLDB Endowment , 2015 , Conference Paper)
      We present LocationSpark, a spatial data processing system built on top of Apache Spark, a widely used distributed data processing system. LocationSpark offers a rich set of spatial query operators, e.g., range search, ...

    • Small data in iot: An mcs perspective 

      Azmy, Sherif B.; Sneineh, Ruslan Abu; Zorba, Nizar; Hassanein, Hossam S. ( Springer , 2019 , Book chapter)
      The unprecedented advances in wireless technology have led to the development of the IoT and numerous associated sub-paradigms, such as wireless sensor networks (WSNs), software-defined networks, mobile crowdsensing (MCS), ...

    • Impact of Users' Mobility on the Quality of Edge Sensing Systems 

      Naserallah, Omar; Azmy, Sherif B.; Zorba, Nizar; Hassanein, Hossam S. ( Institution of Engineering and Technology , 2022 , Conference Paper)
      Edge sensing (ES) is rising as a potential solution for remote sensing challenges, as it exploits the proliferation of smartphones, leverages their embedded sensors to collect data from users' surrounding environments and ...

    • CrowdDelegate: An MCS-based approach for improving retail labor cost-efficiency 

      Azmy, Sherif B.; Zorba, Nizar; Hassanein, Hossam S. ( Institution of Engineering and Technology , 2019 , Conference Paper)
      Following the revolutionary changes the Internet of Things (IoT) has introduced to sensor networks, the Mobile Crowd Sensing (MCS) paradigm aims to utilize people and their smartphones as an extended instrument to sense. ...

    • Optimized handover strategy with hybrid satisfaction mechanisms 

      Zorba, Nizar; Hassanein, Hossam S. ( Springer , 2015 , Article)
      One of the key features of cellular systems is the possibility to switch the connection over several cells while the user is moving. This handover between cells has been upgraded to tackle different operator/users' objectives, ...

    • An Energy Saving Strategy for LTE-A Multiantenna Systems 

      Imran, Reema; Shukair, Mutaz; Zorba, Nizar; Verikoukis, Christos ( Springer , 2015 , Article)
      Long Term Evolution - Advanced (LTE-A) supports closed-loop Multiple Input Multiple Output (MIMO) techniques to improve its performance, but in order to exploit multiuser (MU) MIMO channel capabilities, the design of an ...

    • Uplink Cluster-Based Radio Resource Scheduling for HetNet mMTC Scenarios 

      Ramadan, Abdelrahman; Zorba, Nizar; Hassanein, Hossam S. ( Institution of Engineering and Technology , 2022 , Conference Paper)
      Current telecommunication networks face a surge in the number of connected Machine-type Communication (MTC) devices, creating an unprecedented disproportionate demand for existing resources, especially when working with a ...

    • Resource Allocation in THz-based Subcarrier Index Modulation Systems for Mobile Users 

      Alzard, Mohannad; Althunibat, Saud; Umebayashi, Kenta; Zorba, Nizar ( Institution of Engineering and Technology , 2021 , Conference Paper)
      Subcarrier Index Modulation (SIM) has recently received a significant research efforts analyzing its different performance aspects. In this paper, performance analysis of SIM over TeraHertz (THz) frequency band is conducted ...

    • A blockchain-based IoT networks-on-demand protocol for responsive smart city applications 

      Alkalbani, Mohamed; Hamdaoui, Bechir; Zorba, Nizar; Rayes, Ammar ( Institution of Engineering and Technology , 2019 , Conference Paper)
      This paper proposes a distributed resource sharing protocol for enabling dynamic deployment of IoT networks on-demand in smart cities. The proposed protocol leverages Blockchain technology to: (i) enable distributed and ...

    • Crowdsensing based prompt emergency discovery: A sequential detection approach 

      El Khatib, Rawan F.; Zorba, Nizar; Hassanein, Hossam S. ( Institution of Engineering and Technology , 2019 , Conference Paper)
      The growth in the number of smart devices has mobilized the rise of CrowdSensing (CS) as an enabler of smart cities, where state-of-the-art technologies are utilized to improve citizens' quality of life. CS is a novel ...

    • IEEE 802.11ax based Medium Access Design for Wireless IoT-Blockchain Networks 

      Abyaneh, Arezou Zamanyzadeh; Zorba, Nizar; Hamdaoui, Bechir ( Institution of Engineering and Technology , 2020 , Conference Paper)
      Blockchain technology has attracted the attention of many researchers in several different application fields. The use of blockchain in Internet of Things (IoT) and Wireless Sensors Networks (WSN) has been analyzed and ...

    • Experimental Delay Tests in Causal THz Channel Model 

      Wu, Zhaona; Umebayashi, Kenta; Lehtomäki, Janne; Zorba, Nizar ( Springer , 2024 , Article)
      In traditional radio propagation, the arrival time of the signal at the receiver from the transmitter is the propagation delay, which is given by the distance divided by the light speed, in the line of sight (LoS) scenario. ...

    • Drones for Sheep Livestock Monitoring 

      Al-Thani, Najla; Albuainain, Alreem; Alnaimi, Fatima; Zorba, Nizar ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Nowadays, Unmanned Aerial Vehicles (UAV) have been included in many more applications such as package delivery, traffic monitoring, etc; and one of its potential applications is agriculture. This work demonstrates the ...