• A Neural Field Theory for Loss of Consciousness: Synaptic Drive Dynamics, System Stability, Attractors, Partial Synchronization, and Hopf Bifurcations Characterizing the Anesthetic Cascade 

      Haddad, W M.; Hou, S. P.; Bailey, J. M.; Meskin, N. ( Elsevier Inc. , 2016 , Book chapter)
      With the advances in biochemistry, molecular biology, and neurochemistry there has been impressive progress in understanding the molecular properties of anesthetic agents. However, there has been little focus on how the ...
    • A Reconfigurable Connected Health Platform Using ZYNQ System on Chip 

      Abunahia D.G.; Ismail T.A.; Abou Al Ola H.R.; Amira A.; Ait Si Ali A.; ... more authors ( Springer , 2018 , Book chapter)
      This paper presents a reconfigurable connected health platform for fall and cardiac disease detection to be used in smart home environments using Shimmer sensing device and ZYNQ System on Chip (SoC) platform. The system ...
    • Active Power Filter 

      Massoud, Ahmed M.; Ahmed, Shehab; AbdelKhalik, Ayman S. ( John Wiley & Sons, Ltd , 2014 , Book chapter)
      The proliferation of power electronics-based devices and equipment has significantly affected the power quality of the grid, which changes its sinusoidal nature through adding harmonic distortion. Power electronics ...
    • Advanced design and specifications of TFDs 

      Flandrin, P.; Williams, W.J.; Baraniuk, R.G.; Jones, D.L.; Putland, G.R.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      This chapter describes specific examples of design of time-frequency distributions (TFDs), as a complement to the material described in Chapters 2 and Section 3.1. This key time-frequency (t,f) topic is covered in 11 ...
    • Advanced implementation and realization of TFDs 

      Boashash, B.; Putland, G.R.; Stanković, L.J.; Bastiaans, M.J.; Van Leest, A.J.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      The design of efficient algorithms is the key to effective utilization of the properties of time-frequency distributions (TFDs) for real-life applications. This chapter presents the needed procedures, techniques, and ...
    • Advanced time-frequency signal and system analysis 

      Boashash, B.; Touati, S.; Flandrin, P.; Hlawatsch, F.; Tauböck, G.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      This chapter extends Part I by presenting additional advanced key principles underlying the use of time-frequency (t,f) methods. The topic is covered in 11 focused sections. Section 4.1 describes the relationships between ...
    • An insight into the future of engineering education, recommendations for implementations, and conclusions 

      Abdulwahed M.; Hasna , Mazen; Froyd J.E. ( Springer International Publishing , 2015 , Book chapter)
      The Middle East and North Africa (MENA) region in general, and the Gulf Cooperation Council (GCC) region in particular, is a significantly dynamic and fast-changing part of the world, and when coupled with an ever-dynamic ...
    • Artificial intelligence with IoT for energy efficiency in buildings 

      Sayed, Aya; Himeur, Yassine; Bensaali, Faycal; Amira, Abbes ( CRC Press , 2022 , Book chapter)
      Observing the electricity consumption nowadays may be extremely daunting; therefore, optimizing the consumers' usage is critical to ensuring the sustainability of energy resources. The employment of innovative technologies ...
    • Autoimmune Diseases of the GI Tract Part II: Emergence of Diagnostic Tools and Treatments 

      Al-Ruweidi, Mahmoud Khatib A.A.; Khater, Nada; Alkaabi, Haya Rashid; Hasan, Maram; Murtaza, Mohammed; ... more authors ( IntechOpen , 2022 , Book chapter)
      Autoimmune diseases (AD) have emerged as a pandemic in our modern societies, especially after the World War II. In part I, we have reviewed five main diseases and shed light on different aspects from introducing the concept ...
    • Big-Data Analytics Based Energy Analysis and Monitoring for Multi-storey Hospital Buildings: Case Study 

      Fatema, N.; Malik, H.; Iqbal, Atif ( Springer , 2020 , Book chapter)
      Big-Data analytics based energy analysis and monitoring for multistory buildings plays an important role in proper management and control of operation of the hospital. In this study, hospitals of 16 time zones of three ...
    • Biosignal time-series analysis 

      Kiranyaz, Serkan; Ince, Turker; Chowdhury, Muhammad E.H.; Degerli, Aysen; Gabbouj, Moncef ( Elsevier , 2022 , Book chapter)
      In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ...
    • Classification of SAR Images Using Compact Convolutional Neural Networks 

      Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Springer , 2022 , Book chapter)
      Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ...
    • Data-Driven Intelligent Model for Sale Price Prediction and Monitoring of a Building 

      Fatema, N.; Malik, H.; Iqbal, Atif ( Springer , 2020 , Book chapter)
      The construction cost forecasting and monitoring plays an important role in a building condition assessment. The construction cost of a building (CCB) not only depends on the method of construction, equipment, labor, and ...
    • Detection, classification, and estimation in the (t, f ) domain 

      Sayeed, A.M.; Papandreou-Suppappola, A.; Suppappola, S.B.; Xia, X.-G.; Hlawatsch, F.; ... more authors ( Elsevier Inc. , 2016 , Book chapter)
      Several studies involving real-life applications have shown that methods for the detection, estimation, and classification of nonstationary signals can be enhanced by utilizing the time-frequency ((t,f)) characteristics ...
    • Direct Torque Control Based on Artificial Neural Network of a Five-Phase PMSM Drive 

      Kamel, T.; Abdelkader, D.; Said, B.; Iqbal, Atif ( Springer , 2018 , Book chapter)
      Direct torque control (DTC) based on artificial neural network (ANN) of a five-phase permanent magnet synchronous motor drive (PMSM) is presented in this paper. Using the mathematical model of the five-phase motor, DTC ...
    • Direct Torque Control of AC Machines 

      Abu-Rub, Haitham; Iqbal, Atif; Guziński, Jarosław ( John Wiley & Sons, Ltd , 2012 , Book chapter)
    • Field Oriented Control of AC Machines 

      Abu-Rub, Haitham; Iqbal, Atif; Guziński, Jarosław ( John Wiley & Sons, Inc. , 2012 , Book chapter)
    • Finite element method based determination of magnetic loading of three-phase five-limb transformer with impact of DC offset 

      Kohli, S.; Mahajan, S. B.; Badave, S. M.; Sanjeevikumar, P.; Iqbal, Atif ( Springer Verlag , 2017 , Book chapter)
      In this article, modelling mechanism based on finite element method (FEM) to understand the impact of DC currents on the magnetic loading of the three-phase five-limb transformer IS articulated. This paper provides detailed ...
    • Five-Phase Induction Motor Drive System 

      Abu-Rub, Haitham; Iqbal, Atif; Guziński, Jarosław ( John Wiley & Sons, Ltd , 2012 , Book chapter)
    • Flywheel Energy Storage Systems 

      Daoud, Mohammed; Abdel-Khalik, Ayman; Elserogi, Ahmed; Ahmed, Shehab; Massoud, Ahmed ( John Wiley & Sons, Ltd , 2015 , Book chapter)
      Flywheels are one of the oldest and most popular energy storage media owing to the simplicity of storing kinetic energy in a rotating mass. Flywheel energy storage systems (FESSs) can be used in different applications, for ...