Now showing items 1111-1130 of 2202

    • How Does Social Behavior Affect Your Password? 

      He, Daojing; Yu, Hang; Zhou, Beibei; Zhu, Shanshan; Zhang, Min; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      A password is an important method of identity authentication, so there are endless research attempts on passwords, but most of them are based on different languages and technologies. As far as we know, no one has studied ...
    • How notations are developed: A proposed notational lifecycle 

      Green, T. R.G.; Fetais, Noora ( Springer New York LLC , 2016 , Conference Paper)
      Notations develop over time. We propose that they characteristically pass through a series of development stages, starting very simple and becoming more complex, reaching a stage of complexity that hinders their usability: ...
    • How to Bring a Graduate Program Closer to Employers? Needs?: A Case Study in Qatar University in the Field of IT 

      Veillard L.; Tralongo S.; Galli C.; Bouras A.; Le Nir M. ( Springer Verlag , 2018 , Conference Paper)
      Since the mid of the 1990s, Qatar is engaged in an economic diversification strategy to move away from an economy strongly based on gas and oil. The national authorities consider that high-quality education, especially at ...
    • How to govern the non-cooperative amateur drones? 

      He D.; Liu H.; Chan S.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)
      In recent years, amateur UAVs have become more and more popular. This is due to the decreasing cost and growing range of applications such as weather monitoring, cargo transport and recreational purposes. However, ...
    • How to program autonomous vehicle (AV) crash algorithms: an Islamic ethical perspective 

      Elmahjub, Ezieddin; Qadir, Junaid ( Emerald Publishing Limited , 2023 , Article)
      Purpose: Fully autonomous self-driving cars not only hold the potential for significant economic and environmental advantages but also introduce complex ethical dilemmas. One of the highly debated issues, known as the ...
    • Hulmona ( حلمنا ): The universal language model in arabic 

      ElJundi, Obeida; Antoun, Wissam; El Droubi, Nour; Hajj, Hazem; El-Hajj, Wassim; ... more authors ( Association for Computational Linguistics (ACL) , 2019 , Conference Paper)
      Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ...
    • Humanoid Robot as a Teacher's Assistant: Helping Children with Autism to Learn Social and Academic Skills 

      Qidwai, Uvais; Kashem, Saad Bin Abul; Conor, Olcay ( Springer Netherlands , 2019 , Article)
      Autism Spectrum Disorder (ASD) is becoming a growing concern worldwide. Parents are often not aware of the different nature of children with ASD and attempt to treat him/her the same way as other children. However, that ...
    • HW/SW co-design based implementation of Gas discrimination 

      Ali, Amine Ait Si; Amira, Abbes; Bensaali, Faycal; Benammar, Mohieddine; Bermak, Amine ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)
      A gas discrimination system is mainly made of two parts, the sensing part and the processing part. As an alternative solution to pure software or hardware implementation of the processing part of a gas identification system, ...
    • A Hybrid Approach for Seamless and Interoperable Communication in the Internet of Things 

      Khan, Rahim; Ali, Ihsan; Jan, Mian A.; Zakarya, Muhammad; Khan, Muazzam A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Reliable and resource-aware communication is a challenging task in Internet of Things (IoT) networks. In these networks, seamless and interoperable communication among member devices is a challenging task that becomes more ...
    • Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review 

      Alkhateeb, Ahmed; Catal, Cagatay; Kar, Gorkem; Mishra, Alok ( MDPI , 2022 , Article Review)
      In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for ...
    • Hybrid Deep Learning-based Models for Crop Yield Prediction 

      Oikonomidis, Alexandros; Catal, Cagatay; Kassahun, Ayalew ( Taylor and Francis Ltd. , 2022 , Article)
      Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must ...
    • A Hybrid Deep Reinforcement Learning for Autonomous Vehicles Smart-Platooning 

      Prathiba, Sahaya Beni; Raja, Gunasekaran; Dev, Kapal; Kumar, Neeraj; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      The development of Autonomous Vehicles (AVs) envisions the promising technology of future Intelligent Transportation Systems (ITS). However, the complex road structures and increased vehicles cause traffic congestion and ...
    • Hybrid intelligent system for disease diagnosis based on artificial neural networks, fuzzy logic, and genetic algorithms 

      Al-Absi, Hamada R. H.; Abdullah, Azween; Hassan, Mahamat Issa; Shaban, Khaled Bashir (2011 , Conference Paper)
      Disease diagnosis often involves acquiring medical images using devices such as MRI, CT scan, x-ray, or mammograms of patients' organs. Though many medical diagnostic applications have been proposed; finding subtle cancerous ...
    • Hybrid Machine Learning for Network Anomaly Intrusion Detection 

      Chkirbene, Zina; Eltanbouly, Sohaila; Bashendy, May; Alnaimi, Noora; Erbad, Aiman ( IEEE , 2020 , Conference Paper)
      In this paper, a hybrid approach of combing two machine learning algorithms is proposed to detect the different possible attacks by performing effective feature selection and classification. This system uses Random Forest ...
    • Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set 

      Li, Daiwei; Zhang, Haiqing; Li, Tianrui; Bouras, Abdelaziz; Yu, Xi; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)
      In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly ...
    • Hybrid Physical Layer Security for Passive RFID Communication 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Thanks to its low cost, small weight and energy efficiency, passive radio frequency identification (RFID) backscatter communications systems have attracted a lot of attention in several application fields. However, such ...
    • Hybrid Physical Layer Security for Passive RFID Communication 

      Gouissem, A.; Abualsaud, K.; Yaacoub, E.; Khattab, T.; Guizani, M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Thanks to its low cost, small weight and energy efficiency, passive radio frequency identification (RFID) backscatter communications systems have attracted a lot of attention in several application fields. However, such ...
    • Hybrid radio resource allocation and interference coordination for type 1a-relayed long term evolution uplink 

      Ahmed, Irfan; Mohamed, Amr ( Institution of Engineering and Technology , 2014 , Article)
      Relay technology has been included in long term evolution (LTE) cellular system through 3GPP Release 10. Relay-based LTE cellular system is one of the most promising technologies to enhance the throughput and coverage of ...
    • Hyper-Flatnet: A novel network architecture for data centers 

      Chkirbene, Zina; Foufou, Sebti; Hamdi, Mounir; Hamila, Ridha ( IEEE , 2015 , Conference Paper)
      Massive data centers form the core infrastructure support for the ever increasing cloud based services. Hence, the performance of data centers will have important influence on the scalability of these services. In particular, ...
    • HYPER-VINES: A HYbrid Learning Fault and Performance Issues ERadicator for Virtual NEtwork Services over Multi-Cloud Systems 

      Gupta L.; Salman T.; Das R.; Erbad A.; Jain R.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Fault and performance management systems, in the traditional carrier networks, are based on rule-based diagnostics that correlate alarms and other markers to detect and localize faults and performance issues. As carriers ...