Now showing items 21-40 of 52

    • Home Automation-Based Health Assessment along Gesture Recognition via Inertial Sensors 

      Rustam, Hammad; Muneeb, Muhammad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2023)
      Hand gesture recognition (HGR) is used in a numerous applications, including medical health-care, industrial purpose and sports detection. We have developed a real-time hand gesture recognition system using inertial sensors ...
    • A New Noise Shaping Approach for Sigma-Delta Modulators Using Two-Stage Feed-Forward Delays and Hybrid MASH-EFM 

      Ijaz, Khalid; Adnan, Muhammad; Toor, Waqas Tariq; Butt, Muhammad Asim; Idrees, Muhammad; Ali, Usman; Hassan, Izaz; Ghadi, Yazeed Yasin; Awwad, Fuad A.; Abonazel, Mohamed R.; Ashraf, Syed Rehan (MDPI, 2023)
      Sigma-delta modulators use a noise-shaping technique to curtail the noise power in the band of interest during digital-to-analog conversion. Error feedback modulator employs an efficient noise transfer function for time ...
    • Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review 

      Mazhar, Tehseen; Irfan, Hafiz Muhammad; Haq, Inayatul; Ullah, Inam; Ashraf, Madiha; Shloul, Tamara Al; Ghadi, Yazeed Yasin; Imran; Elkamchouchi, Dalia H. (MDPI, 2023)
      With the assistance of machine learning, difficult tasks can be completed entirely on their own. In a smart grid (SG), computers and mobile devices may make it easier to control the interior temperature, monitor security, ...
    • Wound Rotor Synchronous Motor as Promising Solution for Traction Applications 

      Hussain, Asif; Baig, Zafar; Toor, Waqas Tariq; Ali, Usman; Idrees, Muhammad; Shloul, Tamara Al; Ghadi, Yazeed Yasin; Alkahtani, Hend Khalid (MDPI, 2022)
      Traction applications, such as electric and hybrid vehicles, require the electrical motor to be operated at low load conditions during most of their driving cycle. Permanent magnet (PM) motors in this case may not be an ...
    • Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring 

      Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; Ahmad, Jawad; Kumar, Harish; Boulila, Wadii; Alsaedi, Mohammed; Khan, Khyber; Bhatti, Shahzad A. (NLM (Medline), 2022)
      With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based occupancy monitoring and wireless channels, ...
    • 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 ...
    • 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 ...
    • Users' Rating Predictions Using Collaborating Filtering Based on Users and Items Similarity Measures 

      Nudrat, Sofia; Khan, Hikmat Ullah; Iqbal, Saqib; Talha, Mian Muhammad; Alarfaj, Fawaz Khaled; Almusallam, Naif (Hindawi Limited, 2022)
      The social media has made the world a global world and we, in addition to, as part of physical society, are now part of the virtual society as well. There has been the generation of a large amount of information over the ...
    • A video summarization framework based on activity attention modeling using deep features for smart campus surveillance system 

      Muhammad, Wasim; Ahmed, Imran; Ahmad, Jamil; Nawaz, Muhammad; Alabdulkreem, Eatedal; Ghadi, Yazeed (PeerJ Inc., 2022)
      Like other business domains, digital monitoring has now become an integral part of almost every academic institution. These surveillance systems cover all the routine activities happening on the campus while producing a ...
    • 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 ...
    • Intelligent Sign Language Recognition System for E-Learning Context 

      Hussain, Muhammad Jamil; Shaoor, Ahmad; Alsuhibany, Suliman A.; Ghadi, Yazeed Yasin; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      In this research work, an efficient sign language recognition tool for e-learning has been proposed with a new type of feature set based on angle and lines. This feature set has the ability to increase the overall performance ...
    • An Intelligent HealthCare Monitoring Framework for Daily Assistant Living 

      Ghadi, Yazeed Yasin; Khalid, Nida; Alsuhibany, Suliman A.; Al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Human Activity Recognition (HAR) plays an important role in life care and health monitoring since it involves examining various activities of patients at homes, hospitals, or offices. Hence, the proposed system integrates ...
    • 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 ...
    • A Deep Learning Approach for Prediction of Protein Secondary Structure 

      Zubair, Muhammad; Hanif, Muhammad Kashif; Alabdulkreem, Eatedal; Ghadi, Yazeed; Khan, Muhammad Irfan; Sarwar, Muhammad Umer; Hanif, Ayesha (Tech Science Press, 2022)
      The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary structures. For this reason, it is important to design methods for accurate protein secondary structure ...
    • A Feature-Based Approach for Sentiment QuantificationUsing Machine Learning 

      Ayyub, Kashif; Iqbal, Saqib; Nisar, Muhammad Wasif; Munir, Ehsan Ullah; Alarfaj, Fawaz Khaled; Almusallam, Naif (MDPI, 2022)
      Sentiment analysis has been one of the most active research areas in the past decade due to its vast applications. Sentiment quantification, a new research problem in this field, extends sentiment analysis from individual ...
    • MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs 

      Ghadi, Yazeed Yasin; Javeed, Madiha; Alarfaj, Mohammed; Al shloul, Tamara; Al suhibany, Suliman A.; Jalal, Ahmad; Kamal, Shahary; Kim, Dong-Seong (Institute of Electrical and Electronics Engineers Inc., 2022)
      More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors ...
    • Human Pose Estimation and Object Interaction for Sports Behaviour 

      Arif, Ayesha; Ghadi, Yazeed Yasin; Alarfaj, Mohammed; Jalal, Ahmad; Kamal, Shaharyar; Kim, Dong-Seong (Tech Science Press, 2022)
      In the new era of technology, daily human activities are becoming more challenging in terms of monitoring complex scenes and backgrounds. To understand the scenes and activities from human life logs, human-object interaction ...
    • Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron 

      Azmat, Usman; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Alsuhibany, Suliman A.; Jalal, Ahmad; Park, Jeongmin (MDPI, 2022)
      Applied sensing technology has made it possible for human beings to experience a revolutionary aspect of the science and technology world. Along with many other fields in which this technology is working wonders, human ...
    • Self-Care Assessment for Daily Living Using Machine Learning Mechanism 

      Batool, Mouazma; Ghadi, Yazeed Yasin; Alsuhibany, Suliman A.; al Shloul, Tamara; Jalal, Ahmad; Park, Jeongmin (Tech Science Press, 2022)
      Nowadays, activities of daily living (ADL) recognition system has been considered an important field of computer vision.Wearable and optical sensors are widely used to assess the daily living activities in healthy people ...
    • A word embedding technique for sentiment analysis of social media to understand the relationship between Islamophobic incidents and media portrayal of Muslim communities 

      Ali, Ishfaq; Asif, Muhammad; Hamid, Isma; Sarwar, Muhammad Umer; Khan, Fakhri Alam; Ghadi, Yazeed (PeerJ Inc., 2022)
      Islamophobia is a sentiment against the Muslim community; recently, atrocities towards Muslim communities witnessed this sentiment globally. This research investigates the correlation between how news stories covered by ...