Browsing Engineering by Title

Now showing items 179-198 of 351

    • Intelligent Resource Management at the Edge for Ubiquitous IoT: An SDN-Based Federated Learning Approach 

      Balasubramanian, Venkatraman; Aloqaily, Moayad; Reisslein, Martin; Scaglione, Anna (Institute of Electrical and Electronics Engineers Inc., 2021)
      The ubiquitous nature of Internet of Things (IoT) devices has posited many challenges that need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming indispensable in managing several aspects ...

    • 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 ...

    • Interparticle-Coupled Metasurface for Infrared Plasmonic Absorption 

      Ullah, Zaka; Nawi, Illani M.; Al-Hasan, Muath; Junaid, Muhammad; Mabrouk, Ismail Ben; Rehman, Abdul (Institute of Electrical and Electronics Engineers Inc., 2023)
      Plasmonic metasurfaces operating in the long-wavelength infrared region (LWIR) are primarily employed for bio-sensing and imaging applications. The key factor affecting the capability of LWIR metasurfaces is absorption ...

    • Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation 

      Roman, Muhammad; Shahid, Abdul; Khan, Shafiullah; Yu, Lisu; Asif, Muhammad; Ghadi, Yazeed Yasin (Institute of Electrical and Electronics Engineers Inc., 2022)
      The citation intent extraction and classification has long been studied as it is a good measure of relevancy. Different approaches have classified the citations into different classes; including weak and strong, positive ...

    • Iterative Investigation Of Korteweg–De Vries Equation Using AB Derivative In Caputo Sense 

      Alrabaiah, Hussam; Ullah, Zahid; Ahmad, Israr; Ansari, Khursheed J.; Qiu, Dong; Al-Duais, Fuad S. (World Scientific, 2023)
      This paper is devoted to investigate Korteweg-De Vries equations (KDVEs) with third order under fractional Atangana-Baleanu-Caputo (ABC) derivative. We use an analytical method due to the Laplace transform and the Adomian ...

    • Jamming Resilient Multi-Channel Transmission for Cognitive Radio IoT-based Medical Networks 

      Khadr, Monette H.; Bany Salameh, Haythem; Ayyash, Moussa; Elgala, Hany; Almajali, Sufyan (Korean Institute of Communication Sciences, 2022)
      The era of the Internet-of-things (IoT) comes with tremendous burdens on pre-existing network infrastructures and protocols due to spectrum scarcity and reliability concerns. Cognitive radio (CR) technology is proposed for ...

    • A Joint Beamforming and Power-Splitter Optimization Technique for SWIPT in MISO-NOMA System 

      Al-Obiedollah, Haitham Moffaqq; Cumanan, Kanapathippillai; Bany Salameh, Haythem; Lambotharan, Sangarapillai; Rahulamathavan, Yogachandran; Ding, Zhiguo; Dobre, Octavia Adina (Institute of Electrical and Electronics Engineers Inc., 2021)
      In this paper, we propose a joint beamforming and power-splitter optimization technique for simultaneous wireless power and information transfer in the downlink transmission of a multiple-input single-output (MISO) ...

    • Joint channel and multi-user detection empowered with machine learning 

      Daoud, Mohammad Sh.; Fatima, Areej; Khan, Waseem Ahmad; Khan, Muhammad Adnan; Abbas, Sagheer; Ihnaini, Baha; Ahmad, Munir; Javeid, Muhammad Sheraz; Aftab, Shabib (Tech Science Press, 2021)
      The numbers of multimedia applications and their users increase with each passing day. Different multi-carrier systems have been developed along with varying techniques of space-time coding to address the demand of the ...

    • Jordanian banknote data recognition: A CNN-based approach with attention mechanism 

      Nasayreh, Ahmad; Jaradat, Ameera S; Gharaibeh, Hasan; Dawaghreh, Waed; Mehamad Al Mamlook, Rabia; Alqudah, Yaqeen; Al-Na'amneh, Qais; Sh. Daoud, Mohammad; Migdady, Hazem; Abualigah, Laith (King Saud bin Abdulaziz University, 2024-04)
      Identifying counterfeit banknotes is crucial in financial transactions, as the process of identification cannot be handled by ATMs or vending machines. The recent developments in technology, particularly the smart systems ...

    • LDAB-GPSR: Location PreDiction with Adaptive Beaconing – Greedy Perimeter Stateless Routing Protocol for Mobile Ad Hoc Networks 

      Saifan, Ramzi; Abu-Zant, Samer; Alnabelsi, Sharhabeel H.; Hawa, Mohammed; Jubair, Fahed (Kauno Technologijos Universitetas, 2022)
      In mobile ad-hoc networks (MANET), nodes are randomly distributed and move freely, and hence the network may face rapid and unexpected topological changes. In this paper, an improved greedy perimeter stateless routing ...

    • Lean Database: An Interdisciplinary Perspective Combining Lean Thinking and Technology 

      Razmak, Jamil; Al-Janabi, Samir; Kharbat, Faten; Bélanger, Charles (Zarka Private University, 2021)
      The continuous improvement approach is key to achieve a sustainable competitive advantage for organizations in their business processes. Nowadays, organizational business processes are seen through an automated function ...

    • Load Forecasting Techniques for Power System: Research Challenges and Survey 

      Ahmad, Naqash; Ghadi, Yazeed; Adnan, Muhammad; Ali, Mansoop (IEEE, 2022)
      The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted ...

    • Low-profile frequency reconfigurable antenna for heterogeneous wireless systems 

      Iqbal, Amjad; Smida, Amor; Abdulrazak, Lway Faisal; Saraereh, Omar A.; Mallat, Nazih Khaddaj; Elfergani, Issa; Kim, Sunghwan (MDPI AG., 2019)
      A low-profile (0.21λg× 0.35λg× 0.02λg ) and a simply-structured frequency-switchable antenna with eight frequency choices is presented in this paper. The radiating structure (monopole) is printed on a 1.6-mm thicker, ...

    • A low-profile hybrid multi-permittivity dielectric resonator antenna with perforated structure for Ku and K band applications 

      Zubir, Ihsan Ahmad; Othman, Mohamadariff Arif.; Ullah, Ubaid; Kamal, Shahanawaz; Ab Rahman, Mohd Fariz; Hussin, Roslina; Bin Mohamed Omar, Mohamad Faiz; Mohammed, Abdullahi S.B.; Bin Ain, Mohd Fadzil; Ahmad, Zainal Arifin; Abdullah, Mohd Zaid (Institute of Electrical and Electronics Engineers Inc., 2020)
      A wideband hybrid dielectric resonator antenna (DRA) consisting of a rectangular slot patch and a perforated stacked cylindrical dielectric resonator (DR) is proposed. A rectangular slot was etched on the grounding side ...

    • A Low-Profile Quasi-Loop Magneto-Electric Dipole Antenna Featuring a Wide Bandwidth and Circular Polarization for 5G mmWave Device-to-Device Communication 

      Kamal, Shahanawaz; Ain, Mohd Fadzil Bin; Ullah, Ubaid; Mohammed, Abdullahi S. B.; Hussin, Roslina; Omar, Mohamad Faiz Bin Mohamed; Najmi, Fathul; Ahmad, Zainal Arifin; Rahman, Mohd Fariz Ab; Mahmud, Mohd Nazri; Othman, Mohamadariff; Mohamed, Julie Juliewatty (Korean Institute of Electromagnetic Engineering and Science, 2022)
      The deployment of the millimeter (mmWave) frequency spectrum by fifth-generation (5G) device-to-device (D2D) wireless networks is anticipated to meet the growing demands for increased capacity. The antenna is regarded of ...

    • An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors 

      Waheed, Manahil; Jalal, Ahmad; Alarfaj, Mohammed; Ghadi, Yazeed Yasin; Al Shloul, Tamara; Kamal, Shaharyar; Kim, Dong-Seong (Institute of Electrical and Electronics Engineers Inc., 2021)
      Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...

    • Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends 

      Rafique, Saida Hafsa; Abdallah, Amira; Musa, Nura Shifa; Murugan, Thangavel (Multidisciplinary Digital Publishing Institute (MDPI), 2024-03)
      With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from ...

    • Machine learning empowered software defect prediction system 

      Daoud, Mohammad Sh.; Aftab, Shabib; Ahmad, Munir; Khan, Muhammad Adnan; Iqbal, Ahmed; Abbas, Sagheer; Iqbal, Muhammad; Ihnaini, Baha (Tech Science Press, 2022)
      Production of high-quality software at lower cost has always been the main concern of developers. However, due to exponential increases in size and complexity, the development of qualitative software with lower costs is ...

    • Machine learning enabled identification and real-time prediction of living plants’ stress using terahertz waves 

      Zahid, Adnan; Dashtipour, Kia; Abbas, Hasan T.; Mabrouk, Ismail Ben; Al-Hasan, Muath; Ren, Aifeng; Imran, Muhammad A.; Alomainy, Akram; Abbasi, Qammer H. (China Ordnance Industry Corporation, 2022)
      Considering the ongoing climate transformations, the appropriate and reliable phenotyping information of plant leaves is quite significant for early detection of disease, yield improvement. In real-life digital agricultural ...

    • Magnetohydrodynamic water-based hybrid nanofluid flow comprising diamond and copper nanoparticles on a stretching sheet with slips constraints 

      Yasmin, Humaira; Al-Essa, Laila A.; Lone, Showkat Ahmad; Alrabaiah, Hussam; Raizah, Zehba; Saeed, Anwar (Walter de Gruyter GmbH, 2024)
      Hybrid nanofluid problems are used for augmentation of thermal transportation in various industrial applications. Therefore, the present problem is studied for the heat and mass transportation features of hybrid nanofluid ...