Now showing items 21-40 of 335

    • Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position 

      Ahmad, Waqas; Khan, Hikmat Ullah; Alarfaj, Fawaz Khaled; Iqbal, Saqib; Alomair, Abdullah Mohammad; Almusallam, Naif (Tech Science Press, 2023)
      Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative, positive, or neutral while associating them with their identified aspects from the corresponding context. In this regard, ...
    • Assessing Secure OpenID-Based EAAA Protocol to Prevent MITM and Phishing Attacks in Web Apps 

      Bilal, Muhammad; Shongwe, Sandile; Bashir, Abid; Ghadi, Yazeed (Tech Science Press, 2023)
      To secure web applications from Man-In-The-Middle (MITM) and phishing attacks is a challenging task nowadays. For this purpose, authentication protocol plays a vital role in web communication which securely transfers data ...
    • Association Rule Analysis-Based Identification of Influential Users in the Social Media 

      Iqbal, Saqib; Khan, Rehan; Khan, Hikmat Ullah; Alarfaj, Fawaz Khaled; Alomair, Abdullah Mohammed; Ahmed, Muzamil (Tech Science Press, 2022)
      The exchange of information is an innate and natural process that assist in content dispersal. Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction. ...
    • Attention-based Multi-Channel Gated Recurrent Neural Networks: A Novel Feature-centric Approach for Aspect-based Sentiment Classification 

      Ahmad, Waqas; Khan, Hikmat Ullah; Iqbal, Tassawar; Iqbal, Saqib (Institute of Electrical and Electronics Engineers Inc., 2023)
      Sentiment analysis is an active research domain of the current era, thanks to its vast applications. In the meantime, its main objective is to classify the polarity of the context as positive, negative, or neutral. Thus, ...
    • Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning 

      Rasheed, Zahid; Ma, Yong-Kui; Ullah, Inam; Al Shloul, Tamara; Tufail, Ahsan Bin; Ghadi, Yazeed Yasin; Khan, Muhammad Zubair; Mohamed, Heba G. (MDPI, 2023)
      Brain tumor classification is crucial for medical evaluation in computer-assisted diagnostics (CAD). However, manual diagnosis of brain tumors from magnetic resonance imaging (MRI) can be time-consuming and complex, leading ...
    • Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network 

      Ghadi, Yazeed Yasin; Waheed, Manahil; al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Advanced aerial images have led to the development of improved human–object interaction recognition (HOI) methods for usage in surveillance, security, and public monitoring systems. Despite the ever-increasing rate of ...
    • Automatic Anomaly Monitoring in Public Surveillance Areas 

      Alarfaj, Mohammed; Pervaiz, Mahwish; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ...
    • Automatic computer science domain multiple-choice questions generation based on informative sentences 

      Maheen, Farah; Asif, Muhammad; Ahmad, Haseeb; Ahmad, Shahbaz; Alturise, Fahad; Asiry, Othman; Ghadi, Yazeed Yasin (PeerJ Inc., 2022)
      Students require continuous feedback for effective learning. Multiple choice questions (MCQs) are extensively used among various assessment methods to provide such feedback. However, manual MCQ generation is a tedious task ...
    • Automatic Eyewitness Identification During Disasters by Forming a Feature-Word Dictionary 

      Nazir, Shahzad; Asif, Muhammad; Ahmad, Shahbaz; Aljuaid, Hanan; Ahmad, Shahbaz; Ghadi, Yazeed; Nawaz, Zubair (Tech Science Press, 2022)
      Social media provide digitally interactional technologies to facilitate information sharing and exchanging individuals. Precisely, in case of disasters, a massive corpus is placed on platforms such as Twitter. Eyewitness ...
    • Autonomous system to control a mobile robot 

      Abu Baker, Ayman; Ghadi, Yazeed Yasin (Institute of Advanced Engineering and Science, 2020)
      This paper presents an ongoing effort to control a mobile robot in unstructured environment. Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination ...
    • Battery State-of-Health Estimation: A Step towards Battery Digital Twins 

      Safavi, Vahid; Bazmohammadi, Najmeh; Vasquez, Juan C.; Guerrero, Josep M. (Multidisciplinary Digital Publishing Institute (MDPI), 2024-02)
      For a lithium-ion (Li-ion) battery to operate safely and reliably, an accurate state of health (SOH) estimation is crucial. Data-driven models with manual feature extraction are commonly used for battery SOH estimation, ...
    • Bi-Directional LSTM-Based COVID-19 Detection Using Clinical Reports 

      Bouktif, Salah; Ouni, Ali; Khanday, Akib Mohi Ud Din (ISRES Publishing, 2023-07-09)
      COVID-19 has affected the entire globe with its rapid spreading, causing a high transmission rate. A huge amount of people come in contact with this deadly virus, and early diagnosis of such kind of viruses may save many ...
    • Blockchain and Fog Computing for Cyber-Physical Systems: The Case of Smart Industry 

      Bouachir, Ouns; Aloqaily, Moayad; Tseng, Lewis; Boukerche, Azzedine (IEEE Computer Society, 2020)
      Blockchain has revolutionized how transactions are conducted by ensuring secure and auditable peer-to-peer coordination. This is due to both the development of decentralization, and the promotion of trust among peers. ...
    • Blockchain-based authentication in internet of vehicles: A survey 

      Abbas, Sohail; Abu Talib, Manar; Ahmed, Afaf; Khan, Faheem; Ahmad, Shabir; Kim, Do-Hyeun (MDPI., 2021)
      Internet of Vehicles (IoV) has emerged as an advancement over the traditional Vehicular Ad-hoc Networks (VANETs) towards achieving a more efficient intelligent transportation system that is capable of providing various ...
    • Blockchain-Powered Healthcare Systems: Enhancing Scalability and Security with Hybrid Deep Learning 

      Ali, Aitizaz; Ali, Hashim; Saeed, Aamir; Ahmed Khan, Aftab; Tin, Ting Tin; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      The rapid advancements in technology have paved the way for innovative solutions in the healthcare domain, aiming to improve scalability and security while enhancing patient care. This abstract introduces a cutting-edge ...
    • Body Worn Sensors for Health Gaming and e-Learning in Virtual Reality 

      Afsar, Mir Mushhood; Saqib, Shizza; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Virtual reality is an emerging field in the whole world. The problem faced by people today is that they are more indulged in indoor technology rather than outdoor activities. Hence, the proposed system introduces a fitness ...
    • Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques 

      Rasheed, Zahid; Ma, Yong-Kui; Ullah, Inam; Ghadi, Yazeed Yasin; Khan, Muhammad Zubair; Khan, Muhammad Abbas; Abdusalomov, Akmalbek; Alqahtani, Fayez; Shehata, Ahmed M. (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      The independent detection and classification of brain malignancies using magnetic resonance imaging (MRI) can present challenges and the potential for error due to the intricate nature and time-consuming process involved. ...
    • Breaking down linguistic complexities: A structured approach to aspect-based sentiment analysis 

      Ahmed, Kanwal; Nadeem, Muhammad Imran; Zheng, Zhiyun; Li, Dun; Ullah, Inam; Assam, Muhammad; Ghadi, Yazeed Yasin; Mohamed, Heba G. (King Saud bin Abdulaziz University, 2023-09)
      Aspect-based sentiment analysis refers to the task of determining the sentiment polarity associated with particular aspects mentioned in a sentence or document. Previous studies have used attention-based neural network ...
    • Chaos and bifurcation in time delayed third order phase-locked loop 

      Harb, Bassam; Qudah, Mohammad; Ghareeb, Ibrahim; Harb, Ahmad (Institute of Advanced Engineering and Science, 2021)
      In this paper, the modern nonlinear theory is applied to a third order phase locked loop (PLL) with a feedback time delay. Due to this delay, different behaviors that are not accounted for in a conventional PLL model are ...
    • Characterisation of the transverse shear behaviour of binder-stabilised preforms for wind turbine blade manufacturing 

      Broberg P.H.; Shakibapour F.; Jakobsen J.; Lindgaard E.; Bak B.L.V. (Elsevier Ltd, 2024-01-15)
      Binder-stabilised preforms are being used increasingly in the production of large composite structures, such as wind turbine blades, to increase the throughput. The transverse shear behaviour of the preform is one of the ...