Search Results - "Elfadel, Ibrahim Abe M."

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  1. 1

    Monolithic Multi Degree of Freedom (MDoF) Capacitive MEMS Accelerometers by Mohammed, Zakriya, Elfadel, Ibrahim Abe M, Rasras, Mahmoud

    Published in Micromachines (Basel) (16-11-2018)
    “…With the continuous advancements in microelectromechanical systems (MEMS) fabrication technology, inertial sensors like accelerometers and gyroscopes can be…”
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    Journal Article
  2. 2

    Proactive Random-Forest Autoscaler for Microservice Resource Allocation by Al Qassem, Lamees M., Stouraitis, Thanos, Damiani, Ernesto, Elfadel, Ibrahim M.

    Published in IEEE access (01-01-2023)
    “…Cloud service providers have been shifting their workloads to microservices to take advantage of their modularity, flexibility, agility, and scalability…”
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    Journal Article
  3. 3

    Compact Model Parameter Extraction Using Bayesian Inference, Incomplete New Measurements, and Optimal Bias Selection by Yu, Li, Saxena, Sharad, Hess, Christopher, Elfadel, Ibrahim Abe M., Antoniadis, Dimitri A., Boning, Duane S.

    “…In this paper, we propose a novel MOSFET parameter extraction method to enable early technology evaluation. The distinguishing feature of the proposed method…”
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    Journal Article
  4. 4

    Editorial for the Special Issue on MEMS Accelerometers by Rasras, Mahmoud, Elfadel, Ibrahim Abe M, Ngo, Ha Duong

    Published in Micromachines (Basel) (29-04-2019)
    “…Micro-Electro-Mechanical Systems (MEMS) devices are widely used for motion, pressure, light, and ultrasound sensing applications [...]…”
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    Journal Article
  5. 5

    Dynamic Autoselection and Autotuning of Machine Learning Models for Cloud Network Analytics by Karn, Rupesh Raj, Kudva, Prabhakar, Elfadel, Ibrahim Abe M.

    “…Cloud network monitoring data is dynamic and distributed. Signals to monitor the cloud can appear, disappear or change their importance and clarity over time…”
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    Journal Article
  6. 6

    On Various Extensions of the Shannon-Hagelbarger Concavity Theorem by Elfadel, Ibrahim Abe M.

    “…The Shannon-Hagelbarger concavity theorem asserts that the one-port driving-point resistance of a network of linear two-terminal resistors is a concave…”
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    Conference Proceeding
  7. 7

    Shoe-Integrated, Force Sensor Design for Continuous Body Weight Monitoring by Muzaffar, Shahzad, Elfadel, Ibrahim Abe M

    Published in Sensors (Basel, Switzerland) (12-06-2020)
    “…Traditional pedobarography methods use direct force sensor placement in the shoe insole to record pressure patterns. One problem with such methods is that they…”
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    Journal Article
  8. 8

    Network Theorems for Fractional-Order Circuits by Elfadel, Ibrahim Abe M.

    “…In this paper, we provide a circuit-theoretic analysis of linear fractional-order circuits based on the use of Tellegen's theorem. The advantages of the…”
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    Conference Proceeding
  9. 9

    Hyper-parameter Tuning for Progressive Learning and its Application to Network Cyber Security by Karn, Rupesh Raj, Ziegler, Matthew, Jung, Jinwook, Elfadel, Ibrahim Abe M.

    “…The long-term deployment of data-driven AI technology using artificial neural networks (ANNs) should be scalable and maintainable when new data becomes…”
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    Conference Proceeding
  10. 10

    Sensor Design Migration: The Case of a VRG by Syed, Wajih U., An, Boo Hyun, Gill, Waqas Amin, Saeed, Numan, Al-Shaibah, Muneera, Al Dahmani, Sultan, Choi, Daniel, Elfadel, Ibrahim Abe M.

    Published in IEEE sensors journal (15-11-2019)
    “…Vibrating ring gyroscopes (VRG) have been shown to achieve a high scale-factor with low non-linearity while some structural modification can help increase…”
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    Journal Article
  11. 11

    An Inference Hardware Accelerator for EEG-Based Emotion Detection by Gonzalez, Hector A., Muzaffar, Shahzad, Yoo, Jerald, Elfadel, Ibrahim Abe M.

    “…The wearability of emotion classifiers is a must if they are to significantly improve the social integration of patients suffering from neurological disorders…”
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    Conference Proceeding
  12. 12

    EEG-based Emotion Detection Using Unsupervised Transfer Learning by Gonzalez, Hector A., Yoo, Jerald, Elfadel, Ibrahim M.

    “…Emotion classification using EEG signal processing has the potential of significantly improving the social integration of patients suffering from neurological…”
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    Conference Proceeding Journal Article
  13. 13

    Design, modelling and characterization of comb drive MEMS gap-changeable differential capacitive accelerometer by Li, Ru, Mohammed, Zakriya, Rasras, Mahmoud, Elfadel, Ibrahim (Abe) M., Choi, Daniel

    “…•MEMS accelerometer with high capacitance sensitivity and compact footprint.•Study of an analytical modal of anti-gap spacing on sensitivity.•Optimization of…”
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    Journal Article
  14. 14

    Multicore power proxies using least-angle regression by Karn, Rupesh Raj, Elfadel, Ibrahim Abe M.

    “…The use of performance counters (PCs) to develop per-core power proxies for multicore processors is now well established. These proxies are typically obtained…”
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    Conference Proceeding
  15. 15

    Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques by Zheng Zhang, Xiu Yang, Marucci, Giovanni, Maffezzoni, Paolo, Elfadel, Ibrahim Abe M., Karniadakis, George, Daniel, Luca

    “…Process variations are a major concern in today's chip design since they can significantly degrade chip performance. To predict such degradation, existing…”
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    Conference Proceeding
  16. 16

    Vibrational model of a prismatic multilayered tapered cantilever using perturbation analysis by Syed, Wajih Umar, Elfadel, Ibrahim (Abe) M.

    Published in Journal of sound and vibration (17-02-2019)
    “…In this work we present a novel semi-analytical model of the vibrational dynamics of a multi-layered tapered prismatic cantilever. The derivation of the model…”
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    Journal Article
  17. 17

    On a Generalization of Tellegen's Theorem to Quantum Circuits by Elfadel, Ibrahim Abe M.

    “…Tellegen's theorem is one of the foundational topological theorems of circuit theory. In its most elementary form, it expresses an energy balance between the…”
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    Conference Proceeding
  18. 18

    Symbolic Modeling of Tapered Beams in Piezoelectric Energy Harvesters by Syed, Wajih Umar, Elfadel, Ibrahim Abe M.

    “…In this paper, we present a novel symbolic MEMS modeling methodology for devices with tapered beam geometries. Such beams are very common in piezoelectric…”
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    Conference Proceeding
  19. 19

    Post-Quantum, Order-Preserving Encryption for the Confidential Inference in Decision Trees: FPGA Design and Implementation by Karn, Rupesh Raj, Nawaz, Kashif, Elfadel, Ibrahim Abe M.

    “…One main objective of this paper is to show how to adapt the well-known, lattice-based NTRU post-quantum encryption to the confidential inference in decision…”
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    Conference Proceeding
  20. 20

    Logic Locking of Finite-State Machines Using Transition Obfuscation by Muzaffar, Shahzad, Elfadel, Ibrahim Abe M.

    “…In this paper, we introduce a novel algorithm for securing sequential circuits at the Register-Transfer Level (RTL) that does not require any state…”
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    Conference Proceeding