Information Intelligence: Recent submissions

Now showing items 1-20 of 93

    • Evaluation of combined genome assemblies: A case study with fungal genomes 

      Abbas, Mostafa M.; Balakrishnan, Ponnuraman; Malluhi, Qutaibah M. ( Springer , 2015 , Conference Paper)
      The rapid advances in genome sequencing leads to the generation of huge amount of data in a single sequencing experiment. Several genome assemblers with different objectives were developed to process these genomic data. ...

    • Anonymizing transactional datasets 

      AL Bouna, Becharaa; Clifton, Chrisc; Malluhi, Qutaibah ( IOS Press , 2015 , Article)
      In this paper, we study the privacy breach caused by unsafe correlations in transactional data where individuals have multiple tuples in a dataset. We provide two safety constraints to guarantee safe correlation of the ...

    • Securing Aggregate Queries for DNA Databases 

      Nassar, Mohamed; Malluhi, Qutaibah; Atallah, Mikhail; Shikfa, Abdullatif ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      This paper addresses the problem of sharing person-specific genomic sequences without violating the privacy of their data subjects to support large-scale biomedical research projects. The proposed method builds on the ...

    • Battery-Induced Load Hiding and Its Utility Consequences 

      Aly, Hussein; Altamimi, Emran; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      The introduction of smart grids allows utility providers to collect detailed data about consumers, which can be utilized to enhance grid efficiency and reliability. However, this data collection also raises privacy concerns. ...

    • RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model 

      Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( Institute of Electrical and Electronics Engineers Inc. , 2024 , Conference Paper)
      This paper introduces a novel residual-based model to identify households with Battery Electric Vehicles (EVs) under high Air Conditioning (AC) load. The considerable energy demands of AC units can obscure charging events ...

    • Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data 

      Aly, Hussein; Al-Ali, Abdulaziz; Al-Ali, Abdulla; Malluhi, Qutaibah ( IEEE Computer Society , 2023 , Conference Paper)
      The Smart Grid Advanced Metering Infrastructure (AMI) has revolutionized the smart grid network, generating vast amounts of data that can be utilized for diverse objectives, one of which is Household Characteristics ...

    • LocationSpark: In-memory Distributed Spatial Query Processing and Optimization 

      Tang, Mingjie; Yu, Yongyang; Mahmood, Ahmed R.; Malluhi, Qutaibah M.; Ouzzani, Mourad; ... more authors ( Frontiers Media S.A. , 2020 , Article)
      Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present ...

    • A resource provisioning framework for bioinformatics applications in multi-cloud environments 

      Senturk, Izzet F.; Balakrishnan, P.; Abu-Doleh, Anas; Kaya, Kamer; Malluhi, Qutaibah; ... more authors ( Elsevier , 2018 , Article)
      The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ...

    • Embedded wearable EEG seizure detection in ambulatory state 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( UK Simulation Society , 2014 , Article)
      This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ...

    • Wirelessly controlled mimicing humanoid robot 

      Qidwai, Uvais; Shakir, Mohamed; Hakouz, Wa'ed; Musa, Nour ( IEEE , 2014 , Conference Paper)
      Educational humanoid robots have started to find there place in institutions for children with special needs and Autism Spectrum Disorder (ASD) children therapy centers. Most of the humanoid robots are expensive, or come ...

    • Detection of partial seizure: An application of fuzzy rule system for wearable ambulatory systems 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( IEEE , 2014 , Conference Paper)
      Electroencephalography (EEG) plays an intelligent role, especially EEG based health diagnosis of brain disorder, as well as brain-computer interface (BCI) applications. One such research field is related to epilepsy. The ...

    • Retinal image enhancement using Laplacian pyramidal multi-scaling 

      Khan, Sharifuzzaman; Qidwai, Uvais; Muhammad, Hamed; Qidwai, Umair ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      Early detection of retinal diseases is important to avoid complications and permanent vision loss. In this paper retinal neovascularization and molecular degeneration has been emphasized. Neovascularization is in form of ...

    • Can immersive type of Virtual Reality bring EMG pattern changes post facial palsy? 

      Qidwai, Uvais; Ajimsha, M. S. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      The loss of facial expression via facial paralysis is a devastating condition, both functionally and aesthetically. However, given the life-long plasticity of the brain one could assume that recovery could be facilitated ...

    • Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data 

      Shakir, Mohamed; Malik, Aamir Saeed; Kamel, Nidal; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)
      In this paper, a classification method is presented using an Fuzzy Inference Engine to detect the incidences of pre-seizures in real/raw Epilepsy data. The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' ...

    • Evaluation of Loss Functions for Segmentation of Corneal Nerves 

      Salahuddin, Tooba; Qidwai, Uvais ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Corneal confocal microscopy (CCM) has been advocated as a non-invasive technique for objective diagnosis of very early neuropathy in patients by scanning the corneal subbasal nerve plexus. The obtained images provide a ...

    • Vulnerabilities and countermeasures in electrical substations 

      Hussain, Shahbaz; Hernandez Fernandez, Javier; Al-Ali, Abdulla Khalid; Shikfa, Abdullatif ( Elsevier , 2021 , Article)
      The impending and continued threat of cyberattacks on modern utility grids has called for action from the different stakeholders of the electricity sector. This calls for a thorough investigation and review of the weaknesses ...

    • Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing 

      Elgendy, Ibrahim A.; Muthanna, Ammar; Hammoudeh, Mohammad; Shaiba, Hadil; Unal, Devrim; ... more authors ( Mary Ann Liebert Inc. , 2021 , Article)
      The Internet of Things (IoT) is permeating our daily lives through continuous environmental monitoring and data collection. The promise of low latency communication, enhanced security, and efficient bandwidth utilization ...

    • Garbled computation in cloud 

      Wang, Yongge; Malluhi, Qutaibah M.; Khan, Khaled MD ( Elsevier , 2016 , Article)
      With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ...

    • Data Obfuscation for Privacy and Confidentiality in Cloud Computing 

      Khan, Khaled M.; Shaheen, Mahboob ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)
      This paper proposes a data obfuscation approach in outsourcing matrix multiplication to cloud computing. It is primarily based on splitting the rows and columns of matrices to alter their actual dimension coupled with ...

    • A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases 

      Hammoudeh, Mohammad; Epiphaniou, Gregory; Belguith, Sana; Unal, Devrim; Adebisi, Bamidele; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT ...