Browsing Engineering by Title

Now showing items 118-137 of 348

    • Experimental Evaluation of Trilateration-Based Outdoor Localization with LoRaWAN 

      Magsi, Saeed Ahmed; Khir, Mohd Haris Bin Md; Nawi, Illani Bt Mohd; Hasan, Muath Al; Ullah, Zaka; Khan, Fasih Ullah; Saboor, Abdul; Siddiqui, Muhammad Aadil (Tech Science Press, 2023)
      Long Range Wide Area Network (LoRaWAN) in the Internet of Things (IoT) domain has been the subject of interest for researchers. There is an increasing demand to localize these IoT devices using LoRaWAN due to the quickly ...

    • An explainable ensemble of multi-view deep learning model for fake review detection 

      Mohawesh, Rami; Xu, Shuxiang; Springer, Matthew; Jararweh, Yaser; Al-Hawawreh, Muna; Maqsood, Sumbal (King Saud bin Abdulaziz University, 2023)
      Online reviews significantly impact consumers who are purchasing or seeking services via the Internet. Businesses and review platforms need to manage these online reviews to avoid misleading customers through fake ones. ...

    • Exploiting device-to-device (D2D) transmission strategy for throughput enhancement in WLANs 

      Bany Salameh, Haythem; Al-Bzoor, Rasha; Darabkh, Khalid A. (Springer, 2022)
      The IEEE 802.11 MAC protocols have been implemented in many wireless ad hoc and infrastructure networks. Most of the IEEE 802.11-based networks adopt a one-hop transmission mechanism (the source and destination communicate ...

    • Exploring cross-cultural and gender differences in facial expressions: a skin tone analysis using RGB Values 

      Ali, Sajid; Khan, Muhammad Sharoze; Khan, Asad; Sarwar, Muhammad Abdullah; Syam, Ms; Aamir, Muhammad; Ghadi, Yazeed Yasin; Alkahtani, Hend Khalid; Mostafa, Samih M. (Springer Science and Business Media Deutschland GmbH, 2023-12)
      Facial expressions serve as crucial indicators of an individual's psychological state, playing a pivotal role in face-to-face communication. This research focuses on advancing collaboration between machines and humans by ...

    • Exploring Diverse Features for Sentiment Quantification Using Machine Learning Algorithms 

      Ayyub, Kashif; Iqbal, Saqib; Munir, Ehsan Ullah; Nisar, Muhammad Wasif; Abbasi, Momna (Institute of Electrical and Electronics Engineers Inc., 2020)
      In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for sharing views, opinions and comments about different topics. Classifying these views, opinions and comments is known as sentiment ...

    • Extending UML use case diagrams to represent non-interactive functional requirements 

      Iqbal, Saqib; Al-azzoni, Issam; Allen, Gary; Khan, Hikmat Ullah (Wroclaw University of Science and Technology, 2020)
      Background: The comprehensive representation of functional requirements is a crucial activity in the analysis phase of the software development life cycle. Representation of a complete set of functional requirements helps ...

    • Extensions to Chen's Minimizing Equal Mass Parallelogram Solutions 

      Mansur, Abdalla M.; Offin, Daniel C.; Arsie, Alessandro (Mathematical Society of the Rep. of China, 2017)
      In this paper, we study the extension of the minimizing equal mass parallelogram solutions which was derived by Chen in 2001 [2]. Chen's solution was minimizing for one quarter of the period [0; T], where numerical integration ...

    • The extrema point deviatoric moment component 

      Al-Rousan, Rajai Z.; Alhassan, Mohammad A.; Hejazi, Moheldeen A. (Ain Shams University, 2021)
      The concern plate's behavior was the growth of the extrema positive tensors of both mean (hydrostatic) and deviatoric moments. Systematic consideration of the limits and growth responses of the mean and deviatoric tensors ...

    • Fabrication of a large scale metasurface with high resolution and enhanced absorption 

      Al Hasan, Muath; Ullah, Zaka; Nawi, Illani; Mabrouk, Ismail Ben (Optica Publishing Group (formerly OSA), 2023)
      Plasmonic metasurface nanostructures have the potential to enable nonlinear optical functionality in metasurfaces by reducing power operating thresholds and enabling ultra-thin subwavelength devices. However, low absorption ...

    • A Fast Surrogate Model-Based Algorithm Using Multilayer Perceptron Neural Networks for Microwave Circuit Design 

      Jamshidi, Mohammad; Yahya, Salah I.; Roshani, Saeed; Chaudhary, Muhammad Akmal; Ghadi, Yazeed Yasin; Roshani, Sobhan (Multidisciplinary Digital Publishing Institute (MDPI), 2023)
      This paper introduces a novel algorithm for designing a low-pass filter (LPF) and a microstrip Wilkinson power divider (WPD) using a neural network surrogate model. The proposed algorithm is applicable to various microwave ...

    • 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 ...

    • Finding Rotten Eggs: A Review Spam Detection Model using Diverse Feature Sets 

      Akram, Abubakker Usman; Khan, Hikmat Ullah; Iqbal, Saqib; Iqbal, Tassawar; Munir, Ehsan Ullah; Shafi, Muhammad (Korean Society for Internet Information, 2018)
      Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake ...

    • Finite element simulations of hybrid nano-Carreau Yasuda fluid with hall and ion slip forces over rotating heated porous cone 

      Nazir, Umar; Sohail, Muhammad; Selim, Mahmoud M.; Alrabaiah, Hussam; Kumam, Poom (Nature Research, 2021)
      Involvement of hybrid nanoparticles a vital role to improve the efficiency of thermal systems. This report covers the utilization of different nanoparticles mixed in Carreau Yasuda material for the improvement of thermal ...

    • FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices 

      Ahmad, Khubab; Khan, Muhammad Shahbaz; Ahmed, Fawad; Driss, Maha; Boulila, Wadii; Alazeb, Abdulwahab; Alsulami, Mohammad; Alshehri, Mohammed S.; Ghadi, Yazeed Yasin; Ahmad, Jawad (Springer Science and Business Media Deutschland GmbH, 2023)
      Background: Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered by increasing wildfires. Wildfires are not just ...

    • A Formula for Successful Transmission Probability in Opportunistic Networks Under Memory-time Correlated Channel Availability 

      Alnabelsi, Sharhabeel H.; Salameh, Haythem Bany (Institute of Electrical and Electronics Engineers Inc., 2023)
      Dynamic Spectrum Access (DSA) technology in wireless Cognitive Radio Networks (CRNs) provides opportunistic access for unlicensed users, also known as Secondary Users (SUs), which can offer huge bandwidth to enable future ...

    • A framework for the regression testing of model-to-model transformations 

      Al-Azzoni, Issam; Iqbal, Saqib (Wroclaw University of Science and Technology, 2021)
      Background: Model transformations play a key role in Model-Driven Engineering (MDE). Testing model transformation is an important activity to ensure the quality and correctness of the generated models. However, during the ...

    • Frequency and pattern reconfigurable antenna for emerging wireless communication systems 

      Iqbal, Amjad; Smida, Amor; Khaddaj Mallat, Nazih Khaddaj; Ghayoula, Ridha; Elfergani, Issa; Rodriguez, Jonathan; Kim, Sunghwan (MDPI AG., 2019)
      A printed and minimal size antenna having the functionality of frequency shifting as well as pattern reconfigurability is presented in this work. The antenna proposed in this work consists of three switches. Switch 1 is a ...

    • A frequency and radiation pattern combo-reconfigurable novel antenna for 5g applications and beyond 

      Shereen, Muhammad Kamran; Khattak, Muhammad Irfan; Al-Hasan, Mu’ath (MDPI AG., 2020)
      This paper presents a novel combo-reconfigurable architecture for the frequency and radiation patterning of a novel antenna system for future fifth-generation (5G) millimeter-wave mobile communication. The tuning system ...

    • Frequency Control of a Realistic Dish Stirling Solar Thermal System and Accurate HVDC Models Using a Cascaded FOPI-IDDN-Based Crow Search Algorithm 

      Babu, Naladi Ram; Bhagat, Sanjeev Kumar; Chiranjeevi, Tirumalasetty; Pushkarna, Mukesh; Saha, Arindita; Kotb, Hossam; Aboras, Kareem M.; Alsaif, Faisal; Alsulamy, Sager; Ghadi, Yazeed Yasin; Hermann, Djeudjo Temene (Hindawi Limited, 2023)
      Unbalancing the real power in power system leads to fluctuation in system frequency which can cause the several negative effects on the performance and reliability of the interconnected power system. Therefore, to deal ...

    • A frequency reconfigurable U-shaped antenna for dual-band WIMAX/WLAN systems 

      Chaouche, Youcef Braham; Bouttout, Farid; Nedil, Mourad; Messaoudene, Idris; Ben Mabrouk, Ismail (Electromagnetics Academy, 2018)
      A novel frequency reconfigurable antenna is proposed for WiMAX and WLAN applications. It has a simple structure and compact size of 0.44λg × 0.37λg. The proposed approach is based on utilizing of a double planar U-shaped ...